SlideShare uma empresa Scribd logo
1 de 53
i
“Analysis of Selected stocks by using ARIMA Model”
A Summer training report submitted to ISME, Bangalore
In partial fulfillment of requirements of the award of
POST GRADUATION DIPLOMA IN MANAGEMENT
Submitted By
Makham Narasimha Rao
Reg no: 181250
Under the guidance of
Sudindra VR
And
Sudhakar Reddy
International School of Management Excellence
Sy. No. 88 Chambanahalli, Near Dommasandra Circle,
Sarjapur Road,
Banglore-562125
May 2019
ii
International School of Management Excellence
Sy. No. 88, Chembanahalli, Near Dommasandra Circle,
Sarjapur Road, Bangalore-562125
CERTIFICATE
This is to certify that the Summer Training Report entitled “ANALYSIS OF SELECTED
STOCKS BY USING ARIMA MODEL AT SHAREKHAN PVT LTD” in partial
fulfillment of the requirements for the award of the Post Graduate Diploma in Management,
is a record of original training undergone by Makham Narasimha Rao (181250) during the
year 2018-2020 of his study at the International School of Management Excellence,
Bangalore. Under my supervision and the report has not formed the basis for the award of
any Degree/Fellowship or other similar title to any candidate of any University.
Place: Bangalore Signature of Guide
Date:
Countersigned
(Principal)
ISME, Bangalore
iii
CERTIFICATE
This is to certify that Mr. Makham Narasimha Rao, a student of Post Graduate
Diploma in Management, 2018-2020, International School of Management
Excellence, Bangalore bearing Enrolment No. 181250, has undertaken the Summer
Internship Training at SHAREKHAN PVT LTD during 01/04/2019 to 31/05/2019
under my supervision & guidance. He has conducted a study & completed the Project
on "ANALYSIS OF SELECTED STOCKS BY USING ARIMA Model ".
Seal of Organization Signature of the Guide
Date: Name of the Guide:
Designation:
Address:
iv
DECLARATION
I, Makham Narasimha Rao, hereby declare that the Summer Training Report, entitled
“ANALYSIS OF SELECTED STOCKS BY USING TECHNICAL ARIMA Model AT
SHAREKHAN PVT LTD”, submitted to the International School of Management
Excellence, Bangalore, in partial fulfillment of the requirements for the award of the Post
Graduate Diploma in Management is a record of original training undergone by me during
the period April- May2018. Under the supervision and guidance of Prof. Sudindra, MBA,
(Finance Faculty), International School of Management Excellence, Bangaloreandit has not
formed the basis for the award of any Degree/Fellowship or other similar title to any
candidate of any University
Place: Signature of the Student
Date:
v
ACKNOWLEDGEMENT
I am extremely thankful to “Mr. Keshav Reddy- Manager for their invaluable support and
guidance in the completion of this project. I wish to thank Mr. Nitin Garg, Director, ISME
Bangalore, for enabling this endeavor. I wish to express my profound gratitude to our Dean
of Academics Dr. Rony G Kurien and our Principal DR. Shampa Nandi for their kind
permission to take up this project work. I express my heartfelt thanks to our Col. H. S.
Mishra, COC-Placement and his team at ISME, Bangalore who provided all facilities for
carrying out this project.
I immensely thank our Project Guide Prof.Sudindra, MBA, (Finance Faculty), for his
valuable suggestions and for guiding me throughout the work.
Makham Narasimha Rao
(181220)
vi
TABLE OF CONTENTS
COVER PAGE I
CERTIFICATE Ii
COMPANT CERTIFICATE Iii
DECLARATION Iv
ACKNOWLEDGMENT v
TABLE OF CONTENTS vi
LIST OF FIGURES viii
LIST OF TABLES viii
Number Topics Pg No
CHAPTER-1 INTRODUCTION 1
1.1 INTRODUCTION TO INTERNSHIP 2
1.2 IMPORTANCE OF INTERNSHIP 3
1.3 OBJECTIVES OF INTERNSHIP 3
1.4 SCOPE AND PERIOD OF THE TRAINING AS WELL AS
CHAPTARIZATION SCHEME
4
1.5 MEANING OF THE CONCEPT 4
1.6 RATIONALE FOR CHOOSING THE TOPIC/PROBLEM 5
1.7 IMPLEMENTATION STRATEGY OF CONCEPT IN YOUR
PRESENT STUDY
6
Number Topics Pg No
CHAPTER-2 COMPANY PROFILE 7
2.1 COMPANY PROFILE 8
2.2 AREA OF OPERATION 9
2.3 NATURE OF THE ORGANIZATION AND ITS BUSINESS 10
2.4 PRODUCT OR SERVICE PROFILE 11
2.5 SIZE OF THE ORGANIZATION 11
2.6 ORGANIZATION STRUCTURE OF THE COMPANY 12
2.7 COMPETITOR INFORMATION 13
vii
Number Topics Pg No
CHAPTER-3 INDUSTRY PROFILE 15
3.1 BRIEF PROFILE OF THE INDUSTRY 16
3.2 PRESENT INDUSTRY STATUS 19
3.3 FUTURE PROSPECTS OF THE INDUSTRY 19
Number Topics Pg No
CHAPTER-4 ORGANISATION STUDY 20
4.1 VARIOUS DEPARTMENT OF THE ORGANIZATION 21
4.2 FUNCTIONS OF THE DEPARTMENTS 21
Number Topics Pg No
CHAPTER-5 WORK ASSIGNED 22
5.1 PROCESS FOLLOWED 23
5.2 RESULTS ACHIEVED 24
5.3 CONCLISION, LEAENING AND SUGGESESTION 24
Number Topics Pg No
6 Review of Literature 26
7 Research methodology 27
8 Data analysis and Interpretation 30
9 Findings & Conclusion 39
10 Limitations 45
BIBLIOGRAPHY 45
viii
Figure Number LIST OF FIGURES Pg No
2.2.1 AREAS OF OPERATIONS IN INDIA 8
8.1 The correlogram of UltraTech Cement closing price 36
8.2 The correlogram of UltraTech Cement closing price 36
8.3 ADF test on DClose 37
8.4 ARIMA Model for UltraTech Cement 38
8.5 ARIMA Model for UltraTech Cement 38
9.1 graph of UltraTech Cement 40
9.2 graph of Shree Cements 41
9.3 graph of Ambuja Cements 42
9.4 graph of ACC 43
9.5 graph of J. K. Cement 44
Table Number LIST OF TABLES Pg No
8.1 Raw data of UltraTech Cement 31
8.2 Raw data of Shree Cements 32
8.3 Raw data of Ambuja Cements 33
8.4 Raw data of ACC 34
8.5 Raw data of J. K. Cement 35
9.1 Final data of UltraTech Cement 40
9.2 Final data of Shree Cements 41
9.3 Final data of Ambuja Cements 42
9.4 Final data of ACC 43
9.5 Final data of J. K. Cement 44
1
CHAPTER -- 01
INTRODUCTION
2
1.1 Introduction to Internship/Summer Training.
The internship program is designed to get experience in some work and also understanding
the management and its functions. Also provide students engaged in a field experience with
an opportunity to share their insights, to explore the links between students' academic
preparation and their field work.
My Internship Company is share khan. The company is providing Equity, Derivatives,
Mutual funds, Currency, Commodity. As more & more people are getting aware about share
market and due to various incentives taken by SEBI and GOI for educating people regarding
investment avenues in stock markets large number of people are investing their savings in
share market where it is shares of the companies or Mutual funds to get good amount of
returns from stocks but at same time they have to bear both systematic risk and unsystematic
risk of fluctuations in earnings due volatility. So as to minimize the effect of risk various
models and theories had been formulated, among them one is ARIMA ANALYSIS.
Arima analysis is a tool to study and forecast the stock market movements. It is a method of
measuring and evaluating the stocks by observing analyzing the data or statistics provided by
market activity. Such as past prices and volume etc. Through it does not measure the
securities intrinsic value, but help to understand the signals through charts and others tools. in
fact the decision made on the basis of technical analysis is done only after inferring a trend
and judging the future movement of the stocks on the basis of the trend study .The study of
technical analysis of selected stocks based is significant as it helps in understanding the
intrinsic value of shares and to know whether the shares are underpriced or overpriced or
correctly priced. It becomes essential to know about the prices of the stocks so that the
investments made will be safe and will be duly giving returns. Further it helps in
understanding the price movement and pattern of the shares, the signals given by them and
the major turning points of the market price.
3
1.2 The Importance of Internship/Summer Training.
Internship is great way to apply the knowledge from the classroom to real world experience.
Having an internship gives us experience in the career field I want to pursue. Not only does
this give individuals an edge over other candidates when applying for job, but also prepares
me foe what to expect in my field and increases in my work.
Having an internship benefits me in the working environment, and it also builds my
professional network. Internship can provide me with the soft skills needed in workplace and
in leadership positions. It might seem common sense I am interning to learn skills, after all
but don’t forget to purposefully observe others in their job role to learn the ins and outs of
different positions.
1.3 Objectives of Internship/Summer Training.
The primary objective of the summer internship program was to get awareness about the
stock market, its variables and the various factors that govern the stock market.
 To provide an over view of share price on selected companies.
 To study about mutual funds.
 To study about commodity.
 To study about IPO.
 To identify the growth drivers of banking sectors.
 To take buy or sell decisions by interpreting tread.
 To show the importance of using ARIMA ANALYSIS method for stock selection.
 To study price moments by using different techniques.
 To study pattern in stock by using ARIMA analysis.
4
1.4 SCOPE AND PERIOD OF THE TRAINING AS WELL AS
CHAPERIZATION SCHME.
SCOPE OF INTERNSHIP
Internship experience plays a vital role to me to implement my theoretical knowledge and get
a practical knowledge from my organization. I can implement this internship experience in
my future work area. Share khan ltd gives me opportunity for gathering practical experience
and preparation of the report.
PERIOD OF INTERNSHIP
The company I am working as intern is Sharekhan limited. My internship period is 2 months;
I have joined on 1st April 2019 and will be working up to 31st may 2019.
CHAPTALIZATION SCHME
CHAPTER 1. – ‘INTRODUCTION TO INTERNSHIP’
CHAPTER 2. – ‘STUDY ABOUT THE COMPONY PROFILE’
CHAPTER 3 – ‘STUDY ABOUT THE INDUSTRY PROFILE’
CHAPTER 4 – ‘ORAGANISATION STUDY’
CHAPTER 5 – ‘WORK ASSIGNED’
CHAPTER 6 – ‘LITERSTURE REVIEW’
CHAPTER 7 – ‘RESERECH METHODLOGY’
CHAPTER 8 – ‘DATA ANALYSIS & INTERPRETATION’
CHAPTER 9 – ‘FINDING, SUGGESTIONS & CONLUSIONS’
CHAPTER 10 – ‘LIMITAIONS AND SCOPE FOR THE STUDY’
1.5 MEANING OF THE CONCEPT:
 DEMAT ACCOUNT: A Demat account is an account that allows investors to
hold their shares in an electronic form. Stocks in Demat account remain in
dematerialized form. Dematerialization is the process of converting physical
shares into in electronic format. A Demat account number is required to
5
enable electronic settlements of all the trades. Demat account functions like a
bank account.
 STOCK EXCHANGE: Stock exchange is a market where shares and
securities are bought and sold by members/brokers on behalf of their clients
and also on their accounts.
 IPO: An initial public offering is referred to as sale of equity of a company to
the public by the promoters of the company.
 MUTUAL FUNDS: Mutual funds companies collect funds from the investors
and invest in a driver’s portfolio. The investments are made in equity, bond,
money market instruments, real estate, gold etc
 CAPITAL MARKET: Capital market is the part of financial system which is
concerned with raising capital funds by dealing in Shares, Bonds, and other
long-term investments. The market where Investments instruments like bonds,
equities and mortgages are traded is known as the capital market.
 MONEY MARKET: Money market is a market where short-term securities
are bought and sold. The highly liquid marketable securities are also called as
‘’ MONEY MARKET’’
THE MAJOR PLAYERS IN THE MONEY MARKET:
1. Reserve Bank of India
2. Banks
3. Financial institutions
4. Big corporate houses
 PRIMARY MARKET: The market in which new issues of securities are sold
to the public.
 SECONDORY MARKET: The market in which securities are traded after
they have been issued.
1.6 RATIONALE FOR CHOOSING THE TOPIC:
As more & more people are getting aware about the share market and due to various
incentives taken by SEBI and GOI for educating people regarding investments avenues in
stock market. large number of people is investing their surplus money in shares of the
companies to get good amount of returns from stocks but at same time they have to bear both
6
systematic risk and unsystematic risk of fluctuations in earning due volatility. So as to
minimize the effect of risk various models and theories had been formulated, among them
one is ARIMA ANALYSIS. It is a tool to study and forecast the stock market movements. It
is a method of measuring and evaluating the stocks by observing, analyzing the data or
statistics provided by market activity.
1.7 IMPLEMENTATION STRETARGY FOR CONCEPT IN YOUR
PRESENTSTUDY:
The main objective of using the analysis tool is to predict the future fluctuations of the
securities market and its effectiveness and impact level on market analysis, so for that
purpose the following are some of the tools used in analysis process:-
 Simple moving average
 Exponential moving average
 Stationary and non stationary data
 Making data to stationary data and apply ARIMA
 SIMPLE MOVING AVERAGES:
A simple moving average is an arthematic moving averages calculated by adding the
closing price of the security for a month of time periods and then dividing this total by
the number of time periods.
 EXPOTENTIAL MOVING AVEREGES:
An exponential moving average is a type of average that is similar to a simple moving
average, except that more weight is given to the latest data. It’s also known as the
exponential weighted moving averages.
 STATIONARY AND NON STATIONARY DATA:
A stationary series is one whose statistical properties such as the mean, variance and
autocorrelation are all constant over time. Hence, a non-stationary series is one
whose statistical properties change over time. Non-stationary data should be first
converted into stationary data, so that further statistical analysis can be done on the
de-trended stationary data.
If the data is non stationary data, make it stationary data and apply ARIMA
7
CHAPTER -- 02
COMPANY PROFILE
8
2.1 ABOUT SHAREKHAN COMPANY:
Sharekhan Limited is an online website portal for online trading, investing and stock
marketing. This company has eighteen years of experience of brokering business. It was
earlier known as SSKI Group. This company now acquired by French Bank BNP paribus.
Sharekhan offers its customers a wide range of equity related services including trade
execution on BSE, NSE, Derivatives, Depository services, Online trading, Investment advice
etc.
The firm’s online trading and investment site-www.Sharekhan.com was launched on Feb 8,
2000 by Shripals Morakhiya. It is the largest stock broker portal and has its branches in 575
cities in India. The site gives access to superior content and transaction facility to real
customers across the country. Known for its Jargon-free, investor friendly language and high-
quality research, the site has a register base of over 4 lakh customers. The number of trading
members currently stands at over 03 laths. While online trading currently accounts for just
01% of the daily trading stocks in India, Sharekhan alone accounts of 22% of the volumes
traded online.
TECHNOLOGY USED BY COMPANY
Sharekhan has always believed in investing in technology to build its business. The company
has used some of the best-known names in the IT industry, like Sun Microsystems, Oracle,
Microsoft, Cambridge technologies, Nexgenix, vignette, Verisign Financial technologies
India Ltd, Spider software Pvt Ltd. to build its trading engine and content.
SHAREKHAN BUSINES
 Brokering Business
 White feathering house production.
Name of the firm: Sharekhan by BNP Paribas.
 Founded: Feb 2008
 Headquarter: Mumbai, India
 Country of origin: India
 CEO: Jaideep Aroura
 Industry: Financial Services
 Parent: BNP Paribas
9
Contact Address details
 Head office: A-206 Phoenix house,
2nd floor, Senapathibapatmarg,
Lower panel
Mumbai- 400013
 Branch Office: Marathalli, Bangalore
 Company website: www.Sharekhan.com
MISSION, VISION AND OBJECTIVES
Vision: “To be the best retail brokering brand in the retail business of stock
market”
Mission: “To educate and empower the individual investor to make better
investment decisions through quality advise and superior service”
Objectives of Sharekhan: “02 lakh plus retail customers being serviced through
centralized call centre/web solutions”
60 branches, semi branches servicing affluent/aggressive traders through highly
skilled financial advisors.
250 independent investment managers/franchises servicing 50 thousand highly
valued clients
Strong advisory role through fundamental and technical research
New initiative-portfolio management services and commodities trading
Dealing in mutual funds
2.2 AREA OF OPERATIONS
Sharekhan is limited company operates in financial services in national level.
Sharekhan head office is located in Mumbai.
10
2.2.1 Branches all over India
2.2.1 Figure showing areas of operations in India.
2.3 Name of the organizationand its business
Name of the organization: Sharekhan Ltd
Business: Financial services
Functions of department
 Marketing Department: the marketing is done through Offline and online ways. In the
online we are using lead management system. And also, we are adopting various
digital marketing techniques for easy marketing. In offline we follow Peer-peer
marketing in which we meet the clients in person and briefing them about Demat
Accounts.
 Finance deportments: Keshav reddy our Branch manager takes care of each and every
activity of the company. He is the financial head and deals with the all kinds of
financial related issues.
11
2.4 PRODUCTS OF COMPANY:
 Sharekhan products and services
 Equities and Derivatives trading
 Portfolio Management
 Fundamental Research
 Technical Research
 Trade trigger: Ultimate online trading pattern with unifies screen for all exchanges
 Share mobile: Mobile app for online trading
 Classic account Trade on Sharekhan.com in equities, F&O, commodities, and
currency.
 Investing in IPOs, Mutual funds, and Bonds.
 Share shop: Visit our branches to trade.
 Deal-n-Trade: Trade on phone.
2.5 Size of the Organization
Organization and position
In India, Sharekhan has over 4800+ employees, and is present in over 575 cities through 150
branches, more than 2600 business partners. The company has 1.6 Million clients and on and
average, executes more than 4lakh trades per day.
Position of the company
Sharekhan is the largest standalone retail brokerage in the country and third largest in terms
of customer based of ICICI Direct and HDFC securities.
12
2.6 Organization Structure:
As it is one of the branches of Sharekhan all the activities in the company are organized and
monitored under the survey lines of our manager keshav reddy. Sharekhan follows line
organization structure where the flow of authority and decision flows from top to bottom
below.
Line organization structure
Sales Side Dealings Side
Trainees Junior Dealers
Super Trainees Dealers
Sales executives Relationship Manager
Senior Sales executives Senior Relationship Manger
Business Development executives Equity Advisor
Assistant Sales Manger Assistant Branch Manger
Deputy Manager Branch Manger
Territory Manager Cluster Head
Area Sales Manager Directors
Regional Sales Manger CEO
Regional Head
Vice President
Directors
CEO
Branch Manger
Relationshipmanager
Assistant Branch Manager
Sales executives & Student Interns
13
2.7 Competitor Information:
1. Angel Broking: Angel broking is one of the Sharekhan’s Top Competitors
Angel Broking’s Headquarters is in Mumbai, and it was founded in 1987.
Angel Broking Competes in the diversified financial service industry. Angel
broking generates 35% of Sharekhan’s revenue.
2. Karvy: It is one of Sharekhan’s top rival, it was founded in 1979 and its
headquarters is in Hyderabad, Telangana. It competes in the diversified
Financial Services filed. It has 5350 more employees than Sharekhan.
3. Motilal Oswal: It is the Sharekhan’s 3rd rival. It is a public company that was
founded in 1987 in Mumbai, Maharashtra. It operates in the bank industry.
Compare to Sharekhan it has 5364 more employees.
Comparative Analysis of Stock Brokers in Bangalore Region
 Sharekhan
 ICICI Direct
 Angel Broking
 Indian Bulls.
2.7.1 On the Basis of Brokerages
There are 2 types of transactions
1. Intraday,
2. Delivery.
ICICI Direct Sharekhan Indian Bulls Angel Broking
Ltd
A/C Opening
fees
750 0 900 749
Recruiting fees
for Trading A/c
0 0 0 0
Demat A/C 500 0 0 0
Delivery 75p 50p 50p 50p
14
Brokerage
Intraday
Brokerage
0.15 0.10 0.10 0.5
Initial Margin
Required
0 0 0 Rs.5000
2.7.2 On the Basis of Account Opening Charges:
1. Angel Broking
Account Opening charges are as follows Rs.749 But there is no AMC in it.
2. Sharekhan
There are no Account opening charges.
3. ICICI Direct
A onetime charge of Rs 750 AT the time of Account Opening will be charged. You
may later upgrade your invest account to an ICICI Direct.com. Share trading Account
when you desire to trade in Equity.
4. Indian Bulls
Account Opening charges are Rs.900 there is no AMC and no margin money is
required.
Comment: Indian Bulls Charge Maximum account opening charges but there are no
such charges in Sharekhan Pvt Ltd.
2.7.3 On the basis of facilities
Basis difference Sharekhan Ltd Angel Broking ICICI direct Indian Bulls
Share trading Yes Yes Yes Yes
Commodity
trading
Yes Yes Yes Yes
Demat Opening
Rights
Yes No Yes Yes
15
CHAPTER -- 03
INDUSTRY PROFILE
16
3.1 Brief profile of the Industry
Financial services are the economic services provided by the finance industry, the financial
industry, or financial services industry, includes a wide range of companies and institutions
involved with money, including business providing money management, lending, investing,
insuring and securities issuance and trading services.
The following institutions are a part of the financial industry:
 Banking
 Insurance companies
 Mutual funds
 Securities exchanges
 Payment Banks / Payment Processing companies like paytm
 Housing Financing Companies like HDFC, LIC Housing, etc.
 Investment Banking
 Stock broking services
 Financial planners.
STOCK EXCHANGE:
A stock exchange, share market or bourse is a corporation or mutual fund organization which
provides facilitates for stock brokers and traders, to trade company stocks and other
securities. Stock exchanges also provide facilities for the issue and redemption of securities,
as well as, other financial instruments and capital events including the payment of income
and dividends. The securities traded on a stock exchange include: shares issued by
companies, unit trusts and other pooled investment products and bonds. To be able to trade a
security on a certain stock exchange, it has to be listed there.
NSE
The National Stock Exchange of India is a Mumbai-based stock exchange. It is largest stock
exchange in India and the 3rd largest in the world in terms of volumes of transactions. NSE is
mutually- owned by a set of leading financial institutions, banks, insurance companies and
other financial intermediaries in India bit its ownership and management operates as a
separate entity. NSE has a market capitalization of around US$1 trillion and over 1652
listings as of July 2012.
17
NSE MISSION
NSE’s mission is setting the agenda for change in the securities market in India.
The NSE was set -up with the main objective of :
 Establishin a nation -wide facility for equities, debt instruments and hybrids,
 Ensuring equal acces to investors all over the counrtry through an appropriate communication
network,
 Providing a fair, efficient and transperent securities market to investors using electronic
trading systems,
 Enabling shorter settlement cycles and book entry settlements systems, and meetings the
current international standards of securities markets.
18
BSE
The Bombay Stock Exchange is the oldest stock exchange in Asia. It is located at Dalal
Street, Mumbai, India.
The BSE was established in 1875. There are around 7000+ companies are listed with the
stock exchange, and have a significant trade volume. The companies listed on BSE Ltd
command a total market capitalization of USD Trillion 1.32of January 2013. The BSE
SENSEX (Sensitive index), also called the ‘’BSE30’’, is a widely used market index in India
and Asia. It is also one of the world’s leading exchanges (3rd largest in December 2012) for
index option trading.
MISSION
To drive sustainable economic growth by providing a gateway for rising for capital and
accessing investment opportunities.
History of financial services in global:
The term ‘’financial services’’ became more prevalent in the United States partly as a result
of the Gramm-Leach-Bliley Act of the late 1990s, which enabled different types of
companies operating in the U.S. financial services industry at the time to merge.
19
3.2Present Financial Industry Status:
The financial sector in India is experiencing swift expansion. The financial sector represents a
mix of banking and non-banking financial companies, pension funds, insurance companies,
mutual funds and all other companies offering financial services and advice to the investors
and clients. The services sector in India is already contributing a lot to the economic
development. Approximately 57 percent of the GDP of India is represented by service sector.
The Government of India is also committed to opt for liberalized policy to boost in further
and motive foreign players to enter in this segment. The Indian market is the one of the most
vibrant financial market of the world.
3.3Future prospects of the industry:
The following are some of the key features of performance of financial sector in India.
1. The banking assets in India are expected to reach USD 28.5 trillion by financial year 2025
2. The investment corpus in the pension sector in India is expected to cross USD 1 trillion by
2025
3. SEBI has given approval to International Finance Centre which will help India to develop as
a financial hub like Dubai and Singapore.
4. Indian finance companies are extending their business across the world and having the
collaboration with all major financial sector performance at world level.
20
CHAPTER -- 4
Organization study
21
4.1 Various departments in the organization
 Marketing department
 Finance department
4.2 Functions of various department:
Marketing department
The marketing is done through both offline and online ways. In online we are using lead
management system and also, we are adopting various digital marketing techniques for the
easy marketing.
In offline we follow peer-peer marketing in which we meet the clients in person and brief
them about the Demat account.
Finance department
Mr. Keshav Reddy, our finance manager takes care of financial activities in the company. He
is the financial head and deals with the all kind s of financial related issues.
22
Chapter-5
Work assigned
23
WORK ASSIGNED:
In the organisation, I am direct associate to my branch Manager Mr. Keshav Reddy who
manages all the activities in the firm. The following are works assigned to me during my
internship.
 Communicating various clients Via Telephone and e-mail.
 Fixing an appointment with the client for the meeting.
 Meeting the clients as per the schedule an appointment time.
 Giving brief presentation about the company and its various services.
 Understanding the client’s requirements.
 Convincing the clients for opening Demat account in Sharekhan.
 Client Assistance if he / she agree for the opening of Demat account or other financial
services like mutual funds we deal accordingly.
 Client documentation
 Analysing the stocks.
5.1 Process followed
Made awareness about
stock marketinvestment
to clients
Discuss advantages of
Demat account in
Sharekhan
Taught the basic and
Usage of website of
Sharekhan
Convince them to
Demat Account
Finally collected the
documentsandverify
and thenopenDemat
Account
24
5.2Results Achieved:
The following are the results that I have achieved by working with Sharekhan as a part of my
internship.
I have met around 22 clients and my child friends. I made them aware about the benefits of
investing in stock market. I have convinced 12 clients for the opening of Demat accounts.
Almost all of them started trading in share market. I have also advised them to invest in IPOs
as well as mutual funds. I could also analyse performance of the stocks.
5.3Conclusion, Learning and Suggestion
5.3.1Learning from the training program:
Sharekhan Limited has reputed name worldwide and it is concentrating more on stock
broking. It has renowned name in finance products distribution.
During my internship, I got know about the following such as:
Client Relationship Management:
In the broking firm, the client and client data base are the asset of the company, the
management such as asset is very important. The client data base keeps on growing if it is
well managed, on addition of the new clients we should not compromise with the service of
the old clients.
1. Client handling skills:
I got an experience of handling almost all type of clients as in this industry. Most of the
clients are rude while others are good
2. Communication skills:
This project has given the opportunity to talk new people and meeting the unknown clients
which helped me in improving the communication skills. And now I am more confident in
talking to new people and am now better able to put my views on the discussions.
3. Familiarity with the trading basics:
In this internship, I came to learn about the basics in stock marketing trading like trading
terminology along with the software, and factors effecting the stock movements.
25
5.3.2Suggestions:
 A low rate brokerage than the existing rate will encourage the existing investors to invest
more and would attract more new clients.
 Providing more in -depth insight of the market to the investors will strengthen their
confidence and help them to take quick decision.
 Introduction of market alerts through SMS and Emails raise satisfaction level clients.
5.3.3Conclusion:
 Everything that rises has to fall in the equity market. There is no solid proof way to determine
the trend of the equity market. Anything could happen to male all of the information collected
to study the trend of the equity market worthies, but we have to at least consider the past
trends and understand that there is a chance the market will behave similarly and will enter a
period of significant decline. Political, social happening and emotions of the investors play a
big role in the equity market.
 That’s why a good and constant study of the market and hoe the equity of various companies
behaves in the market should be studied well and if possible a constant touch with the experts
to helps a long way.
 From the Sharekhan point of view a better marketing of its product and a good advice
regarding investment can go a long way in attracting more investor. As it is a period of staff
competition it is necessary that the instruments of Sharekhan do offer attractive returns.
5.3.4Future possibilities:
As it is a branch office, there is no much scope for finance role. But there is good opportunity
in sales field as a client relationship manager.
26
Chapter -- 6:
Review of Literature
27
Bogdan svrydov: There are many algorithms of forecasting stock price using a time series.
The most popular methods are Autoregressive model (AR), Moving Average model (MA),
Autoregressive Moving Average (ARMA) and Autoregressive Moving Integrated Average
(ARIMA).
AR model based its predictions on the historical stock price, as against to MA model that
riles on historical error terms. ARMA is a combination of the previous two models. It
predicts future values according to the linear relationship of the past error term and stock
prices.
Ayodele A. Adebiy: Prediction will continue to be an interesting area of research making
researchers in the domain field always desiring to improve existing predictive models. The
reason is that institutions and individuals are empowered to make investment decisions and
ability to plan and develop effective strategy about their daily and future endevours. Stock
price prediction is regarded as one of most difficult task to accomplish in financial
forecasting due to complex nature of stock market. The desire of many investors is to lay
hold of any forecasting method that could guarantee easy profiting and minimize investment
risk from the stock market. This remains a motivating factor for researchers to evolve and
develop new predictive models.
Charles K. Ayo: ARIMA models are from statistical models perspectives. Generally, it is
reported in literature that prediction can be done from two perspectives: statistical and
artificial intelligence techniques. ARIMA models are known to be robust and efficient in
financial time series forecasting especially short term prediction than even the most popular
ANNs techniques. It has been extensively used in field of economics and finance. Other
statistics models are regression method, exponential smoothing, generalized autoregressive
conditional heteroskedasticity (GARCH). Few related works that has engaged ARIMA model
for forecasting includes.
28
Chapter -- 7:
Research Methodology
29
Box and Jenkins in 1970 introduced the ARIMA model. It also referred to as Box-Jenkins
methodology composed of set of activities for identifying, estimating and diagnosing ARIMA
models with time series data. The model is most prominent methods in financial forecasting.
ARIMA models have shown efficient capability to generate short-term forecasts. It constantly
outperformed complex structural models in short-term prediction. In ARIMA model, the
future value of a variable is a linear combination of past values and past errors.
The method used in this study to develop ARIMA model for stock price forecasting is
explained in detail in subsections below. The tool used for implementation is Eviews
software version 5. Stock data used in this research work are historical daily stock prices
obtained from two countries stock exchanged. The data composed of four elements, namely:
open price, low price, high price and close price respectively. In this research the closing
price is chosen to represent the price of the index to be predicted. Closing price is chosen
because it reflects all the activities of the index in a trading day. To determine the best
ARIMA model among several experiments performed, the following criteria are used in this
study for each stock index.
 Correlogram show that there is no significant pattern left in the autocorrelation
functions (ACFs).
 A D F (Augmented Dickey-Fuller)
 Relatively small of BIC (Bayesian or Schwarz Information Criterion)
 Forecast helps to find the Predicted Values of share price.
I had selected top five cement companies in India for Predicted Values of share price by
using ARIMA Model in E-views software. The top five companies are following;
9 UltraTech Cement
10 Shree Cements
11 Ambuja Cements
12 ACC
13 J. K. Cement
30
Chapter -- 8:
Data Analysis and Interpretation
31
The following data is raw data (secondary data) which is collected from different sources and
the contains of following:
 Date.
 Opening price of the day. (Open)
 Highest price of the day. (High)
 Lowest price of day. (Low)
 Closing price of the day. (Close)
UltraTech Cement
Date Open High Low Close
01-Apr-19 4,021.25 4,142.00 4,015.00 4,041.95
02-Apr-19 4,050.00 4,084.95 3,989.95 4,021.05
03-Apr-19 4,030.00 4,068.55 3,985.05 4,002.30
04-Apr-19 4,015.00 4,111.30 4,015.00 4,079.90
05-Apr-19 4,120.00 4,205.00 4,097.10 4,186.55
08-Apr-19 4,206.00 4,229.25 4,140.00 4,158.95
09-Apr-19 4,160.00 4,173.10 4,110.00 4,164.65
10-Apr-19 4,159.95 4,164.65 4,118.35 4,126.60
11-Apr-19 4,101.00 4,164.90 4,095.50 4,151.30
12-Apr-19 4,150.00 4,196.50 4,137.10 4,165.15
15-Apr-19 4,170.00 4,234.80 4,159.75 4,222.40
16-Apr-19 4,225.00 4,279.55 4,212.05 4,254.00
18-Apr-19 4,255.90 4,273.45 4,220.95 4,250.55
22-Apr-19 4,250.00 4,275.00 4,181.05 4,205.00
23-Apr-19 4,202.80 4,226.15 4,183.05 4,203.65
24-Apr-19 4,150.80 4,436.75 4,116.20 4,396.45
25-Apr-19 4,426.00 4,686.30 4,426.00 4,619.95
26-Apr-19 4,632.00 4,636.50 4,561.10 4,613.45
30-Apr-19 4,600.00 4,645.00 4,555.00 4,618.95
Date Open High Low Close
02-May-19 4,630.00 4,635.70 4,578.75 4,623.40
03-May-19 4,623.40 4,628.70 4,557.50 4,573.35
06-May-19 4,517.70 4,550.75 4,488.00 4,517.60
07-May-19 4,518.00 4,558.60 4,514.55 4,527.75
08-May-19 4,528.00 4,552.00 4,493.00 4,510.65
09-May-19 4,470.00 4,519.20 4,455.85 4,481.35
10-May-19 4,488.70 4,497.00 4,426.05 4,434.20
13-May-19 4,407.50 4,425.60 4,314.65 4,342.25
14-May-19 4,343.00 4,459.00 4,289.65 4,419.65
15-May-19 4,430.00 4,430.00 4,329.95 4,347.50
16-May-19 4,360.00 4,516.75 4,325.65 4,502.80
17-May-19 4,519.95 4,519.95 4,439.00 4,491.90
20-May-19 4,530.10 4,805.00 4,530.10 4,767.15
21-May-19 4,785.05 4,785.10 4,620.00 4,648.60
22-May-19 4,648.60 4,674.95 4,593.00 4,646.95
23-May-19 4,670.00 4,880.00 4,646.00 4,673.05
24-May-19 4,708.55 4,805.50 4,663.00 4,796.35
27-May-19 4,799.00 4,903.90 4,766.10 4,837.45
28-May-19 4,850.10 4,867.20 4,760.10 4,785.25
29-May-19 4,788.00 4,788.00 4,705.15 4,719.55
30-May-19 4,721.00 4,784.90 4,706.00 4,756.90
31-May-19 4,765.00 4,779.60 4,666.35 4,757.65
.
Table 8.1 raw data of UltraTech Cement
32
Shree Cements
Date Open High Low Close
01-
Apr-19
18,80
0.00
18,97
7.80
18,65
2.30
18,78
0.80
02-
Apr-19
18,70
0.00
18,70
0.00
18,45
0.00
18,50
5.10
03-
Apr-19
18,55
0.00
18,70
5.10
18,50
7.10
18,62
1.40
04-
Apr-19
18,53
0.00
19,22
5.80
18,53
0.00
18,81
5.80
05-
Apr-19
18,81
0.00
19,10
0.00
18,81
0.00
19,05
7.60
08-
Apr-19
19,22
0.30
19,22
0.30
18,75
0.10
18,84
6.60
09-
Apr-19
18,75
0.00
19,03
6.20
18,55
7.20
18,95
6.60
10-
Apr-19
19,00
5.00
19,03
8.90
18,81
5.40
18,96
1.30
11-
Apr-19
18,96
1.30
19,00
0.00
18,85
2.70
18,90
4.60
12-
Apr-19
19,05
0.00
19,16
4.10
18,99
8.10
19,03
5.30
15-
Apr-19
19,19
8.90
19,44
3.20
19,10
4.80
19,37
9.10
16-
Apr-19
19,45
0.00
19,64
9.30
19,41
5.00
19,58
7.40
18-
Apr-19
19,52
8.20
19,82
5.00
19,28
2.90
19,65
6.30
22-
Apr-19
19,50
0.00
19,77
4.10
19,26
5.80
19,45
1.10
23-
Apr-19
19,39
3.80
19,61
0.00
19,22
0.00
19,35
7.50
24-
Apr-19
19,20
7.30
19,54
4.90
18,97
4.60
19,46
9.70
25-
Apr-19
19,40
0.00
20,10
3.20
19,29
9.20
19,89
3.80
26-
Apr-19
19,95
9.00
20,07
4.80
19,89
0.20
19,99
9.90
30-
Apr-19
20,05
9.20
20,19
9.90
19,46
9.00
19,73
8.20
Date Open High Low Close
02-
May-19
19,61
6.00
19,98
5.30
19,61
6.00
19,81
8.20
03-
May-19
19,85
0.00
20,10
0.00
19,79
4.90
19,87
8.80
06-
May-19
19,79
9.90
19,84
4.70
19,66
6.40
19,74
8.00
07-
May-19
19,75
7.30
19,95
0.00
19,63
6.80
19,73
1.00
08-
May-19
19,70
0.00
19,80
0.00
19,50
0.90
19,75
7.10
09-
May-19
19,75
7.10
19,75
7.10
19,20
4.20
19,28
5.60
10-
May-19
19,25
0.00
19,29
6.30
18,91
8.20
18,98
9.90
13-
May-19
18,90
5.80
19,53
7.40
18,57
5.00
18,81
6.40
14-
May-19
18,79
6.60
19,20
0.00
18,58
3.20
18,98
6.20
15-
May-19
19,12
1.60
19,19
5.10
18,87
0.70
19,00
0.60
16-
May-19
19,09
4.30
19,55
5.30
18,73
5.80
19,41
2.80
17-
May-19
19,08
3.20
19,72
7.70
18,74
1.30
19,33
2.10
20-
May-19
19,90
0.00
20,62
5.30
19,83
1.30
20,33
2.90
21-
May-19
20,36
6.40
20,92
5.80
20,10
4.80
20,45
5.20
22-
May-19
20,68
0.00
20,68
0.00
20,02
1.00
20,19
1.40
23-
May-19
20,59
1.60
21,26
4.90
20,59
1.60
20,81
9.70
24-
May-19
21,01
6.90
21,01
6.90
20,77
4.60
20,91
8.70
27-
May-19
20,78
6.40
21,59
9.80
20,78
6.40
21,53
5.60
28-
May-19
21,30
0.00
21,79
9.90
21,30
0.00
21,66
6.30
29-
May-19
21,52
5.00
21,70
0.00
21,40
6.10
21,61
1.60
30-
May-19
21,51
3.50
21,89
9.80
21,29
1.80
21,42
1.10
31-
May-19
21,52
6.20
21,75
0.00
21,42
6.20
21,56
1.70
.
Table 8.2 raw data of Shree Cements
33
Ambuja Cements
Date Open High Low Close
01-Apr-
19 237 244
233.4
5
234.5
5
02-Apr-
19 235 236.5 228.8
229.9
5
03-Apr-
19 231 235.9
225.9
5
226.7
5
04-Apr-
19
226.7
5
229.3
5
222.0
5 222.6
05-Apr-
19 224.7 227.9
222.5
5 224
08-Apr-
19
227.7
5 228.9
224.4
5 225.6
09-Apr-
19 225.6
227.9
5 221.8
227.1
5
10-Apr-
19 226.5
227.6
5
223.0
5 223.9
11-Apr-
19
224.0
5 228.8 222.6 227.2
12-Apr-
19 227.1 230.9 226.7
229.1
5
15-Apr-
19 230.2
230.3
5 226.9
227.4
5
16-Apr-
19 228.4 233
227.6
5 232
18-Apr-
19 232
235.2
5 230 233.4
22-Apr-
19 231.5 232.1 225.1 226.1
23-Apr-
19
226.4
5
228.8
5 225.6 226.8
24-Apr-
19 223
226.3
5
216.0
5 224.1
25-Apr-
19
222.3
5
229.8
5 219.5
220.5
5
26-Apr-
19 223
226.5
5
221.7
5 226
30-Apr-
19 227 227.7 217.6 220.5
Date Open High Low Close
02-May-
19 219.5
225.9
5
218.0
5
221.0
5
03-May-
19 221.5 223.3
220.1
5 221.7
06-May-
19
220.2
5
221.2
5
218.0
5 219.7
07-May-
19
221.2
5
222.4
5 217.5 218.2
08-May-
19
218.2
5 219.1 212.4
213.3
5
09-May-
19 212.5
214.7
5
210.5
5
213.9
5
10-May-
19
213.9
5 215.9 213.1
214.7
5
13-May-
19 214.1 215.7
208.9
5 210
14-May-
19 209.9
214.9
5
208.0
5 213.1
15-May-
19
213.1
5
213.9
5
208.7
5
209.7
5
16-May-
19 208.6
216.9
5 208.2
215.2
5
17-May-
19
214.4
5 220 213.2 219
20-May-
19 224
228.8
5 220 224.2
21-May-
19 225.1
227.0
5
219.1
5
220.4
5
22-May-
19 220.5 223.1 218.7
220.5
5
23-May-
19
224.3
5 230.8 221.6
222.5
5
24-May-
19 223.2 232.8
222.5
5
231.6
5
27-May-
19 233 239.9
231.1
5
239.1
5
28-May-
19 238
240.2
5 235.7 238.4
29-May-
19 238.2 238.4
233.1
5
233.8
5
30-May-
19 233.9
235.2
5 232.1 233
31-May-
19
234.9
5 235 228 230.6
.
Table 8.3 raw data of Ambuja Cements
34
ACC
Date Open High Low Close
01-
Apr-19
1,673
.00
1,723
.40
1,637
.65
1,646
.90
02-
Apr-19
1,648
.90
1,669
.00
1,609
.00
1,617
.35
03-
Apr-19
1,627
.90
1,645
.00
1,615
.70
1,624
.60
04-
Apr-19
1,629
.90
1,652
.15
1,616
.75
1,628
.85
05-
Apr-19
1,635
.00
1,670
.00
1,634
.40
1,664
.45
08-
Apr-19
1,675
.00
1,680
.00
1,636
.00
1,640
.40
09-
Apr-19
1,639
.00
1,658
.45
1,620
.00
1,654
.30
10-
Apr-19
1,652
.60
1,655
.90
1,630
.00
1,636
.65
11-
Apr-19
1,645
.00
1,681
.25
1,636
.05
1,675
.90
12-
Apr-19
1,675
.90
1,685
.55
1,653
.00
1,656
.40
15-
Apr-19
1,664
.00
1,680
.00
1,658
.30
1,673
.35
16-
Apr-19
1,680
.00
1,711
.50
1,677
.00
1,703
.00
18-
Apr-19
1,705
.80
1,709
.75
1,680
.00
1,699
.45
22-
Apr-19
1,693
.00
1,695
.80
1,660
.00
1,663
.00
23-
Apr-19
1,672
.00
1,682
.95
1,652
.20
1,661
.65
24-
Apr-19
1,625
.00
1,625
.00
1,570
.00
1,606
.00
25-
Apr-19
1,606
.00
1,664
.75
1,603
.00
1,623
.00
26-
Apr-19
1,628
.00
1,641
.40
1,623
.35
1,635
.35
30-
Apr-19
1,640
.00
1,649
.30
1,601
.05
1,632
.05
Date Open High Low Close
02-
May-19
1,628.
00
1,644.
15
1,606.
20
1,613.
10
03-
May-19
1,619.
90
1,637.
85
1,610.
65
1,633.
90
06-
May-19
1,617.
25
1,628.
15
1,606.
30
1,620.
40
07-
May-19
1,624.
15
1,637.
90
1,590.
15
1,596.
90
08-
May-19
1,601.
00
1,606.
95
1,563.
55
1,593.
20
09-
May-19
1,589.
00
1,604.
85
1,566.
10
1,596.
35
10-
May-19
1,595.
00
1,614.
95
1,592.
40
1,602.
35
13-
May-19
1,602.
70
1,613.
50
1,575.
00
1,583.
00
14-
May-19
1,577.
00
1,587.
80
1,564.
75
1,572.
30
15-
May-19
1,582.
90
1,583.
00
1,542.
35
1,554.
50
16-
May-19
1,552.
05
1,589.
45
1,541.
00
1,583.
35
17-
May-19
1,575.
50
1,614.
65
1,570.
10
1,606.
60
20-
May-19
1,635.
00
1,682.
25
1,633.
00
1,662.
95
21-
May-19
1,670.
00
1,681.
00
1,595.
50
1,609.
85
22-
May-19
1,620.
80
1,634.
50
1,607.
05
1,615.
00
23-
May-19
1,638.
75
1,680.
20
1,621.
55
1,639.
80
24-
May-19
1,651.
95
1,709.
35
1,638.
00
1,704.
90
27-
May-19
1,706.
00
1,765.
20
1,700.
00
1,759.
80
28-
May-19
1,758.
00
1,769.
05
1,738.
75
1,750.
70
29-
May-19
1,739.
50
1,745.
25
1,711.
80
1,721.
55
30-
May-19
1,717.
90
1,732.
90
1,701.
20
1,708.
15
31-
May-19
1,714.
00
1,719.
45
1,670.
00
1,686.
00
.
Table 8.4 raw data of ACC
35
J. K. Cement
Date Open High Low Close
01-
Apr-19 873 885 842.5 851.5
02-
Apr-19 851
874.8
5
844.5
5 859.9
03-
Apr-19 855
865.9
5
827.2
5 838.4
04-
Apr-19
826.8
5 860
826.8
5 851.3
05-
Apr-19 859.7 864.5 853 860
08-
Apr-19 864.1 874 861
866.6
5
09-
Apr-19 860 872 848 865
10-
Apr-19
860.1
5 874.2 850.3 870.1
11-
Apr-19 867.9 889.2 864.9
873.9
5
12-
Apr-19 880 887.4 874
875.0
5
15-
Apr-19 870
898.5
5 870
886.1
5
16-
Apr-19
882.1
5 901.2 880
885.8
5
18-
Apr-19 880 891 877 884
22-
Apr-19 879.3
883.4
5
862.2
5
869.9
5
23-
Apr-19 869 881
851.3
5 868.7
24-
Apr-19 860 890
841.1
5 876.3
25-
Apr-19 875 924 875
905.3
5
26-
Apr-19 907
918.9
5 876.6 892.4
30-
Apr-19 892 914
872.5
5
903.3
5
Date Open High Low Close
02-
May-19 895 912.3
885.5
5 904.4
03-
May-19 900
904.0
5 870 872.2
06-
May-19 861 869.4 841.6
849.7
5
07-
May-19
858.0
5 861.8 839
845.6
5
08-
May-19
838.4
5 852.7
824.1
5 846.3
09-
May-19 840
847.9
5
831.1
5
840.3
5
10-
May-19 833.8 856 833.8
844.3
5
13-
May-19 850 860 830
839.3
5
14-
May-19 840 852.9 826 845.7
15-
May-19
858.3
5 860 847 851.4
16-
May-19 853.3
855.8
5
843.9
5
845.3
5
17-
May-19 847.4
853.1
5 827
840.2
5
20-
May-19
893.2
5 919
870.3
5
910.8
5
21-
May-19 918 995
902.9
5
947.9
5
22-
May-19 948 989.9 935
964.4
5
23-
May-19 995
1,019.
90
966.2
5
989.9
5
24-
May-19 988
1,046.
05
987.9
5
1,039.
05
27-
May-19
1,049.
95
1,074.
75
1,013.
80
1,029.
80
28-
May-19
1,035.
00
1,075.
00
1,035.
00
1,068.
15
29-
May-19
1,070.
00
1,071.
05
1,029.
00
1,035.
05
30-
May-19
1,024.
60
1,050.
00
1,010.
00
1,021.
85
31-
May-19
1,023.
05
1,059.
00
1,023.
05
1,043.
00
.
Table 8.5 raw data of J. K. Cement
36
ARIMA Model for UltraTech Cement
 Correlogram of UltraTech Cement closing price
Figure 8.1: The correlogram of UltraTech Cement closing price
Figure 8.1 is the correlogram of UltraTech Cement closing price. From the ACF dies
down extremely slowly this simply means that the time series is nonstationary. If the
series is not stationary, it is converted to a stationary series by differencing. After the
first difference, the series “DCLOSE” of UltraTech Cement stock index becomes
stationary as shown in figure 8.2 correlogram respectively.
Figer 8.2
37
 Augmented Dickey-Fuller Root Test on Dclose
Figer 8.3 ADF test on DClose
In figure 4 the model checking was done with Augmented Dickey Fuller (ADF) unit root test
on “DCLOSE” of UltraTech Cement stock index. The result confirms that the series becomes
stationary after the first-difference of the series.
38
 ARIMA Model for UltraTech Cement
Figers 8.4 & 8.5 ARIMA Model for UltraTech Cement
 Figers 5 & 6 shows the different among the several ARIMA model experimented
upon. ARIMA (0, 0) (0, 0) is considered the best for UltraTech Cement stock index as
shown in figure 6. The model returned the smallest Bayesian or Schwarz information
criterion of 11.842 shown in figure 6.
14 As shown in the above process I had did for reaming four companies also (Shree
Cements, Ambuja Cements, ACC, J. K. Cement).
39
Chapter-9:
Findings, suggestion& Conclusions
40
Findings
UltraTech Cement
Date Actual Values Predicted Values Date Actual Values Predicted Values
01/04/2019 4041.95 4004.32 02/05/2019 4623.40 4554.32
02/04/2019 4021.05 3985.65 03/05/2019 4573.35 4498.80
03/04/2019 4002.30 4062.92 06/05/2019 4517.60 4508.91
04/04/2019 4079.90 4169.13 07/05/2019 4527.75 4491.88
05/04/2019 4186.55 4141.65 08/05/2019 4510.65 4462.70
08/04/2019 4158.95 4147.32 09/05/2019 4481.35 4415.75
09/04/2019 4164.65 4109.43 10/05/2019 4434.20 4324.18
10/04/2019 4126.60 4134.03 13/05/2019 4342.25 4401.26
11/04/2019 4151.30 4147.82 14/05/2019 4419.65 4329.41
12/40/2019 4165.15 4204.83 15/05/2019 4347.50 4484.06
15/04/2019 4222.40 4236.30 16/05/2019 4502.80 4473.21
16/04/2019 4254.00 4232.86 17/05/2019 4491.90 4747.31
18/04/2019 4250.55 4187.50 20/05/2019 4767.15 4629.26
22/04/2019 4205.00 4186.16 21/05/2019 4648.60 4627.61
23/04/2019 4203.65 4378.16 22/05/2019 4646.95 4653.61
24/04/2019 4396.45 4600.73 23/05/2019 4673.05 4776.39
25/04/2019 4619.95 4594.25 24/05/2019 4796.35 4817.32
26/04/2019 4613.45 4599.73 27/05/2019 4837.45 4765.34
30/04/2019 4618.95 4604.16 28/05/2019 4785.25 4699.91
29/05/2019 4719.55 4737.11
30/05/2019 4756.90 4737.85
Table 9.1 final data of UltraTech Cement
Figure 9.1 graph of UltraTech Cement
Here:
CLOSE is Actual Values
CLOSEF is PredictedValues
41
Shree Cements
Date Actual Values Predicted Values Date Actual Values Predicted Values
01/04/2019 18780.8 18436.68 02/05/2019 19818.2 19805.30
02/04/2019 18505.1 18552.55 03/05/2019 19878.8 19674.99
03/04/2019 18621.4 18746.23 06/05/2019 19748.0 19658.05
04/04/2019 18815.8 18987.14 07/05/2019 19731.0 19684.05
05/04/2019 19057.6 18776.92 08/05/2019 19757.1 19214.29
08/04/2019 18846.6 18886.51 09/05/2019 19285.6 18919.69
09/04/2019 18956.6 18891.19 10/05/2019 18989.9 18746.83
10/04/2019 18961.3 18834.70 13/05/2019 18816.4 18916.00
11/04/2019 18904.6 18964.92 14/05/2019 18986.2 18930.35
12/04/2019 19035.3 19307.45 15/05/2019 19000.6 19341.02
15/04/2019 19379.1 19514.98 16/05/2019 19412.8 19260.62
16/04/2019 19587.4 19583.62 17/05/2019 19332.1 20257.72
18/04/2019 19656.3 19379.18 20/05/2019 20332.9 20379.57
22/04/2019 19451.1 19285.93 21/05/2019 20455.2 20116.75
23/04/2019 19357.5 19397.71 22/05/2019 20191.4 20742.72
24/04/2019 19469.7 19820.25 23/05/2019 20819.7 20841.36
25/04/2019 19893.8 19925.95 24/05/2019 20918.7 21455.98
26/04/2019 19999.9 19665.22 27/05/2019 21535.6 21586.19
30/04/2019 19738.2 19744.93 28/05/2019 21666.3 21531.69
29/05/2019 21611.6 21341.90
30/05/2019 21421.1 21481.98
Table 9.2 final data of Shree Cements
Figure 9.2 graph of Shree Cements
Here:
CLOSE is Actual Values
CLOSEF is Predicted Values
42
Ambuja Cements
Date Actual Values Predicted
Values
Date Actual Values Predicted
Values
01/04/2019 234.55 230.02 02/05/2019 221.05 221.76
02/04/2019 229.95 226.82 03/05/2019 221.70 219.76
03/04/2019 226.75 222.67 06/05/2019 219.70 218.26
04/04/2019 222.60 224.07 07/05/2019 218.20 213.41
05/04/2019 224.00 225.67 08/05/2019 213.35 214.01
08/04/2019 225.60 227.22 09/05/2019 213.95 214.81
09/04/2019 227.15 223.97 10/05/2019 214.75 210.06
10/04/2019 223.90 227.27 13/05/2019 210.00 213.16
11/04/2019 227.20 229.22 14/05/2019 213.10 209.81
12/04/2019 229.15 227.52 15/05/2019 209.75 215.31
15/04/2019 227.45 232.07 16/05/2019 215.25 219.06
16/04/2019 232.00 233.47 17/05/2019 219.00 224.27
18/04/2019 233.40 226.17 20/05/2019 224.20 220.51
22/04/2019 226.10 226.87 21/05/2019 220.45 220.61
23/04/2019 226.80 224.17 22/05/2019 220.55 222.62
24/04/2019 224.10 220.61 23/05/2019 222.55 231.72
25/04/2019 220.55 226.07 24/05/2019 231.65 239.22
26/04/2019 226.00 220.56 27/05/2019 239.15 238.47
30/04/2019 226.00 220.56 28/05/2019 238.40 233.92
29/05/2019 233. 85 233.07
30/05/2019 233.00 230.67
Table 9.3 final data of Ambuja Cement
Figure 9.3 graph of Ambuja Cements
Here:
CLOSE is Actual Values
CLOSEF is Predicted Values
43
ACC
Date Actual Values Predicted Values Date Actual Values Predicted Values
01/04/2019 1646.90 1616.14 02/05/2019 1613.10 1632.68
02/04/2019 1617.35 1623.39 03/05/2019 1633.90 1619.19
03/04/2019 1624.60 1627.63 06/05/2019 1620.40 1595.71
04/04/2019 1628.85 1663.21 07/05/2019 1596.90 1592.01
05/04/2019 1664.45 1639.17 08/05/2019 1593.20 1595.16
08/04/2019 1640.40 1653.06 09/05/2019 1596.35 1601.15
09/04/2019 1654.30 1635.43 10/05/2019 1602.35 1581.82
10/04/2019 1636.65 1674.65 13/05/2019 1583.00 1571.13
11/04/2019 1675.90 1655.16 14/05/2019 1572.30 1553.34
12/04/2019 1656.40 1672.10 15/05/2019 1554.50 1582.17
15/04/2019 1673.35 1701.73 16/05/2019 1583.35 1605.40
16/04/2019 1703.00 1698.18 17/05/2019 1606.60 1661.71
18/04/2019 1699.45 1661.76 20/05/2019 1662.95 1608.65
22/04/2019 1663.00 1660.41 21/05/2019 1609.85 1613.79
23/04/2019 1661.65 1604.80 22/05/2019 1615.00 1638.57
24/04/2019 1606.00 1621.79 23/05/2019 1639.80 1703.63
25/04/2019 1623.00 1634.13 24/05/2019 1704.90 1758.49
26/04/2019 1635.35 1630.83 27/05/2019 1759.80 1749.39
30/04/2019 1632.05 1611.89 28/05/2019 1750.70 1720.26
29/05/2019 1721.55 1706.87
30/05/2019 1708.15 1684.74
Table 9.4 final data of ACC
Figure 9.4 graph of ACC
Here:
CLOSE is Actual Values
CLOSEF is Predicted Values
44
J. K. Cement
Date Actual Values Predicted Values Date Actual Values Predicted Values
01/04/2019 851.50 854.88 02/05/2019 904.40 867.11
02/04/2019 859.90 833.51 03/05/2019 872.20 844.79
03/04/2019 838.40 846.33 06/05/2019 849.75 840.72
04/04/2019 851.30 854.98 07/05/2019 845.65 841.36
05/04/2019 860.00 861.59 08/05/2019 846.30 835.45
08/04/2019 866.65 859.95 09/05/2019 840.35 839.42
09/04/2019 865.00 865.02 10/05/2019 844.35 834.45
10/04/2019 870.10 868.85 13/05/2019 839.35 840.77
11/04/2019 873.95 869.95 14/05/2019 845.70 846.43
12/04/2019 875.05 880.98 15/05/2019 851.40 840.42
15/04/2019 886.15 880.68 16/05/2019 845.35 835.35
16/04/2019 885.85 878.84 17/05/2019 840.25 905.54
18/04/2019 884.00 864.88 20/05/2019 910.85 942.42
22/04/2019 869.95 863.63 21/05/2019 947.95 958.82
23/04/2019 868.70 871.19 22/05/2019 964.45 984.18
24/04/2019 876.30 900.07 23/05/2019 989.95 1032.99
25/04/2019 905.35 887.19 24/05/2019 1039.05 1023.79
26/04/2019 892.40 898.08 27/05/2019 1029.80 1061.92
30/04/2019 903.35 899.12 28/05/2019 1068.15 1029.01
29/05/2019 1035.05 1015.89
30/05/2019 1021.85 1036.92
Table 9.5 final data of J. K. Cement
Figure 9.5 graph of J. K. Cement
Here:
CLOSE is Actual Values
CLOSEF is Predicted Values
45
Conclusions
This project presents extensive process of building ARIMA model for stock price prediction.
The experimental results obtained with best ARIMA model demonstrated the potential of
ARIMA models to predict stock prices satisfactory on short-term basis. This could guide
investors in stock market to make profitable investment decisions. With the results obtained
ARIMA models can compete reasonably well with emerging forecasting techniques in short-
term prediction.
Chapter-10
LIMITATIONS:
 The study is confined to a period of 2 months from April 1st 2019 to 30th May 2019.
 The accuracy is limited as the data collection was strictly confined to secondary
sources.
BIBLIOGRAPHY:
 Bogdan svrydov -Forecasting stock price and stock index value in UK market.
 Ayodele A. Adebiyi, Aderemi O. Adewumi, 3Charles - Stock Price Prediction
Using the ARIMA Model.
 www.Sharekhan.com
 www.NSE.com
 www.BSE.com.
 www.Moneycontrol.com
 www.yahoofinance.com

Mais conteúdo relacionado

Mais procurados

Challenges and Prospects of Derivative Market in Nepal
Challenges and Prospects of Derivative Market in NepalChallenges and Prospects of Derivative Market in Nepal
Challenges and Prospects of Derivative Market in Nepal
Karna Lama
 
Project On Derivatives
Project On DerivativesProject On Derivatives
Project On Derivatives
indira 7
 
Commodity market with marwadi shares & finance ltd by rohit parmar
Commodity market with marwadi shares & finance ltd by rohit parmarCommodity market with marwadi shares & finance ltd by rohit parmar
Commodity market with marwadi shares & finance ltd by rohit parmar
Jagriti Sharma
 
internship report
internship reportinternship report
internship report
vikvini1604
 

Mais procurados (20)

A Study of Derivatives Market in India
A Study of Derivatives Market in IndiaA Study of Derivatives Market in India
A Study of Derivatives Market in India
 
Fundamental analysis Intro
Fundamental analysis IntroFundamental analysis Intro
Fundamental analysis Intro
 
ONLINE TRADING IN STOCK MARKET
ONLINE TRADING IN STOCK MARKETONLINE TRADING IN STOCK MARKET
ONLINE TRADING IN STOCK MARKET
 
A study of technical analysis in different sectors stocks
A study of technical analysis in different sectors stocksA study of technical analysis in different sectors stocks
A study of technical analysis in different sectors stocks
 
Technical and fundamental analysis on stock market
Technical and fundamental analysis on stock market Technical and fundamental analysis on stock market
Technical and fundamental analysis on stock market
 
The common stock market ppt @ mba finance
The common stock market ppt @ mba financeThe common stock market ppt @ mba finance
The common stock market ppt @ mba finance
 
Challenges and Prospects of Derivative Market in Nepal
Challenges and Prospects of Derivative Market in NepalChallenges and Prospects of Derivative Market in Nepal
Challenges and Prospects of Derivative Market in Nepal
 
Share market of india
Share market of indiaShare market of india
Share market of india
 
Fundamental and technical analysis @ kotak mahindra mba project report
Fundamental and technical analysis @ kotak mahindra mba project reportFundamental and technical analysis @ kotak mahindra mba project report
Fundamental and technical analysis @ kotak mahindra mba project report
 
Equity Research Methodology
Equity Research MethodologyEquity Research Methodology
Equity Research Methodology
 
Project On Derivatives
Project On DerivativesProject On Derivatives
Project On Derivatives
 
Commodity market with marwadi shares & finance ltd by rohit parmar
Commodity market with marwadi shares & finance ltd by rohit parmarCommodity market with marwadi shares & finance ltd by rohit parmar
Commodity market with marwadi shares & finance ltd by rohit parmar
 
Stock Market
Stock MarketStock Market
Stock Market
 
internship report
internship reportinternship report
internship report
 
Fundamental analysis of pharma sector
Fundamental analysis of pharma sector Fundamental analysis of pharma sector
Fundamental analysis of pharma sector
 
Technical Analysis Project
Technical Analysis ProjectTechnical Analysis Project
Technical Analysis Project
 
A project report on technical analysis at share khan
A project report on technical analysis at share khanA project report on technical analysis at share khan
A project report on technical analysis at share khan
 
Sharekhan
SharekhanSharekhan
Sharekhan
 
Project on equity analysis
Project on equity analysisProject on equity analysis
Project on equity analysis
 
Research project report on investors perception towards derivative market
Research project report on investors perception towards derivative marketResearch project report on investors perception towards derivative market
Research project report on investors perception towards derivative market
 

Semelhante a Analysis of Selected stocks by using ARIMA Model

DERIVATIVES STRATEGIES IN DAILY LIFE
DERIVATIVES STRATEGIES IN DAILY LIFEDERIVATIVES STRATEGIES IN DAILY LIFE
DERIVATIVES STRATEGIES IN DAILY LIFE
pratim roy
 
Final Report - Shameer - July 20
Final Report - Shameer - July 20Final Report - Shameer - July 20
Final Report - Shameer - July 20
SHAMEER C M
 
Final report
Final reportFinal report
Final report
AMSADO
 
Project Report On Reliance PMS
Project Report On Reliance PMSProject Report On Reliance PMS
Project Report On Reliance PMS
saurabhp1988
 
Sagar Working Capital Management Project
Sagar Working Capital Management ProjectSagar Working Capital Management Project
Sagar Working Capital Management Project
Sagar Bora
 
jeyaram1.final report projectdocx
jeyaram1.final report projectdocxjeyaram1.final report projectdocx
jeyaram1.final report projectdocx
jeyaram Rajendran
 

Semelhante a Analysis of Selected stocks by using ARIMA Model (20)

DERIVATIVES STRATEGIES IN DAILY LIFE
DERIVATIVES STRATEGIES IN DAILY LIFEDERIVATIVES STRATEGIES IN DAILY LIFE
DERIVATIVES STRATEGIES IN DAILY LIFE
 
Evaluation of training
Evaluation of trainingEvaluation of training
Evaluation of training
 
SIP REPORT.pdf
SIP REPORT.pdfSIP REPORT.pdf
SIP REPORT.pdf
 
SIGNIFICANCE OF EXTENDED 3 P’S WITH REFERENCE TO SHREEKIPA AUTOMOBILES PVT. L...
SIGNIFICANCE OF EXTENDED 3 P’S WITH REFERENCE TO SHREEKIPA AUTOMOBILES PVT. L...SIGNIFICANCE OF EXTENDED 3 P’S WITH REFERENCE TO SHREEKIPA AUTOMOBILES PVT. L...
SIGNIFICANCE OF EXTENDED 3 P’S WITH REFERENCE TO SHREEKIPA AUTOMOBILES PVT. L...
 
Chapter
ChapterChapter
Chapter
 
Final Report - Shameer - July 20
Final Report - Shameer - July 20Final Report - Shameer - July 20
Final Report - Shameer - July 20
 
2
22
2
 
Final report
Final reportFinal report
Final report
 
ARJUN
ARJUNARJUN
ARJUN
 
mba report
mba reportmba report
mba report
 
Naman-project-file.docx
Naman-project-file.docxNaman-project-file.docx
Naman-project-file.docx
 
MBA Summer Training Project Report
MBA Summer Training Project Report MBA Summer Training Project Report
MBA Summer Training Project Report
 
Final_report
Final_reportFinal_report
Final_report
 
training needs and methods
training needs and methods training needs and methods
training needs and methods
 
training need and various methods
training need and various methodstraining need and various methods
training need and various methods
 
Internship report on Elite paint .pdf
Internship report on Elite paint .pdfInternship report on Elite paint .pdf
Internship report on Elite paint .pdf
 
Dissertation jaro education
Dissertation jaro educationDissertation jaro education
Dissertation jaro education
 
Project Report On Reliance PMS
Project Report On Reliance PMSProject Report On Reliance PMS
Project Report On Reliance PMS
 
Sagar Working Capital Management Project
Sagar Working Capital Management ProjectSagar Working Capital Management Project
Sagar Working Capital Management Project
 
jeyaram1.final report projectdocx
jeyaram1.final report projectdocxjeyaram1.final report projectdocx
jeyaram1.final report projectdocx
 

Último

Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
amitlee9823
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
amitlee9823
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
shivangimorya083
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
amitlee9823
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
MarinCaroMartnezBerg
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
Lars Albertsson
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Riyadh +966572737505 get cytotec
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
shambhavirathore45
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
amitlee9823
 

Último (20)

Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 

Analysis of Selected stocks by using ARIMA Model

  • 1. i “Analysis of Selected stocks by using ARIMA Model” A Summer training report submitted to ISME, Bangalore In partial fulfillment of requirements of the award of POST GRADUATION DIPLOMA IN MANAGEMENT Submitted By Makham Narasimha Rao Reg no: 181250 Under the guidance of Sudindra VR And Sudhakar Reddy International School of Management Excellence Sy. No. 88 Chambanahalli, Near Dommasandra Circle, Sarjapur Road, Banglore-562125 May 2019
  • 2. ii International School of Management Excellence Sy. No. 88, Chembanahalli, Near Dommasandra Circle, Sarjapur Road, Bangalore-562125 CERTIFICATE This is to certify that the Summer Training Report entitled “ANALYSIS OF SELECTED STOCKS BY USING ARIMA MODEL AT SHAREKHAN PVT LTD” in partial fulfillment of the requirements for the award of the Post Graduate Diploma in Management, is a record of original training undergone by Makham Narasimha Rao (181250) during the year 2018-2020 of his study at the International School of Management Excellence, Bangalore. Under my supervision and the report has not formed the basis for the award of any Degree/Fellowship or other similar title to any candidate of any University. Place: Bangalore Signature of Guide Date: Countersigned (Principal) ISME, Bangalore
  • 3. iii CERTIFICATE This is to certify that Mr. Makham Narasimha Rao, a student of Post Graduate Diploma in Management, 2018-2020, International School of Management Excellence, Bangalore bearing Enrolment No. 181250, has undertaken the Summer Internship Training at SHAREKHAN PVT LTD during 01/04/2019 to 31/05/2019 under my supervision & guidance. He has conducted a study & completed the Project on "ANALYSIS OF SELECTED STOCKS BY USING ARIMA Model ". Seal of Organization Signature of the Guide Date: Name of the Guide: Designation: Address:
  • 4. iv DECLARATION I, Makham Narasimha Rao, hereby declare that the Summer Training Report, entitled “ANALYSIS OF SELECTED STOCKS BY USING TECHNICAL ARIMA Model AT SHAREKHAN PVT LTD”, submitted to the International School of Management Excellence, Bangalore, in partial fulfillment of the requirements for the award of the Post Graduate Diploma in Management is a record of original training undergone by me during the period April- May2018. Under the supervision and guidance of Prof. Sudindra, MBA, (Finance Faculty), International School of Management Excellence, Bangaloreandit has not formed the basis for the award of any Degree/Fellowship or other similar title to any candidate of any University Place: Signature of the Student Date:
  • 5. v ACKNOWLEDGEMENT I am extremely thankful to “Mr. Keshav Reddy- Manager for their invaluable support and guidance in the completion of this project. I wish to thank Mr. Nitin Garg, Director, ISME Bangalore, for enabling this endeavor. I wish to express my profound gratitude to our Dean of Academics Dr. Rony G Kurien and our Principal DR. Shampa Nandi for their kind permission to take up this project work. I express my heartfelt thanks to our Col. H. S. Mishra, COC-Placement and his team at ISME, Bangalore who provided all facilities for carrying out this project. I immensely thank our Project Guide Prof.Sudindra, MBA, (Finance Faculty), for his valuable suggestions and for guiding me throughout the work. Makham Narasimha Rao (181220)
  • 6. vi TABLE OF CONTENTS COVER PAGE I CERTIFICATE Ii COMPANT CERTIFICATE Iii DECLARATION Iv ACKNOWLEDGMENT v TABLE OF CONTENTS vi LIST OF FIGURES viii LIST OF TABLES viii Number Topics Pg No CHAPTER-1 INTRODUCTION 1 1.1 INTRODUCTION TO INTERNSHIP 2 1.2 IMPORTANCE OF INTERNSHIP 3 1.3 OBJECTIVES OF INTERNSHIP 3 1.4 SCOPE AND PERIOD OF THE TRAINING AS WELL AS CHAPTARIZATION SCHEME 4 1.5 MEANING OF THE CONCEPT 4 1.6 RATIONALE FOR CHOOSING THE TOPIC/PROBLEM 5 1.7 IMPLEMENTATION STRATEGY OF CONCEPT IN YOUR PRESENT STUDY 6 Number Topics Pg No CHAPTER-2 COMPANY PROFILE 7 2.1 COMPANY PROFILE 8 2.2 AREA OF OPERATION 9 2.3 NATURE OF THE ORGANIZATION AND ITS BUSINESS 10 2.4 PRODUCT OR SERVICE PROFILE 11 2.5 SIZE OF THE ORGANIZATION 11 2.6 ORGANIZATION STRUCTURE OF THE COMPANY 12 2.7 COMPETITOR INFORMATION 13
  • 7. vii Number Topics Pg No CHAPTER-3 INDUSTRY PROFILE 15 3.1 BRIEF PROFILE OF THE INDUSTRY 16 3.2 PRESENT INDUSTRY STATUS 19 3.3 FUTURE PROSPECTS OF THE INDUSTRY 19 Number Topics Pg No CHAPTER-4 ORGANISATION STUDY 20 4.1 VARIOUS DEPARTMENT OF THE ORGANIZATION 21 4.2 FUNCTIONS OF THE DEPARTMENTS 21 Number Topics Pg No CHAPTER-5 WORK ASSIGNED 22 5.1 PROCESS FOLLOWED 23 5.2 RESULTS ACHIEVED 24 5.3 CONCLISION, LEAENING AND SUGGESESTION 24 Number Topics Pg No 6 Review of Literature 26 7 Research methodology 27 8 Data analysis and Interpretation 30 9 Findings & Conclusion 39 10 Limitations 45 BIBLIOGRAPHY 45
  • 8. viii Figure Number LIST OF FIGURES Pg No 2.2.1 AREAS OF OPERATIONS IN INDIA 8 8.1 The correlogram of UltraTech Cement closing price 36 8.2 The correlogram of UltraTech Cement closing price 36 8.3 ADF test on DClose 37 8.4 ARIMA Model for UltraTech Cement 38 8.5 ARIMA Model for UltraTech Cement 38 9.1 graph of UltraTech Cement 40 9.2 graph of Shree Cements 41 9.3 graph of Ambuja Cements 42 9.4 graph of ACC 43 9.5 graph of J. K. Cement 44 Table Number LIST OF TABLES Pg No 8.1 Raw data of UltraTech Cement 31 8.2 Raw data of Shree Cements 32 8.3 Raw data of Ambuja Cements 33 8.4 Raw data of ACC 34 8.5 Raw data of J. K. Cement 35 9.1 Final data of UltraTech Cement 40 9.2 Final data of Shree Cements 41 9.3 Final data of Ambuja Cements 42 9.4 Final data of ACC 43 9.5 Final data of J. K. Cement 44
  • 10. 2 1.1 Introduction to Internship/Summer Training. The internship program is designed to get experience in some work and also understanding the management and its functions. Also provide students engaged in a field experience with an opportunity to share their insights, to explore the links between students' academic preparation and their field work. My Internship Company is share khan. The company is providing Equity, Derivatives, Mutual funds, Currency, Commodity. As more & more people are getting aware about share market and due to various incentives taken by SEBI and GOI for educating people regarding investment avenues in stock markets large number of people are investing their savings in share market where it is shares of the companies or Mutual funds to get good amount of returns from stocks but at same time they have to bear both systematic risk and unsystematic risk of fluctuations in earnings due volatility. So as to minimize the effect of risk various models and theories had been formulated, among them one is ARIMA ANALYSIS. Arima analysis is a tool to study and forecast the stock market movements. It is a method of measuring and evaluating the stocks by observing analyzing the data or statistics provided by market activity. Such as past prices and volume etc. Through it does not measure the securities intrinsic value, but help to understand the signals through charts and others tools. in fact the decision made on the basis of technical analysis is done only after inferring a trend and judging the future movement of the stocks on the basis of the trend study .The study of technical analysis of selected stocks based is significant as it helps in understanding the intrinsic value of shares and to know whether the shares are underpriced or overpriced or correctly priced. It becomes essential to know about the prices of the stocks so that the investments made will be safe and will be duly giving returns. Further it helps in understanding the price movement and pattern of the shares, the signals given by them and the major turning points of the market price.
  • 11. 3 1.2 The Importance of Internship/Summer Training. Internship is great way to apply the knowledge from the classroom to real world experience. Having an internship gives us experience in the career field I want to pursue. Not only does this give individuals an edge over other candidates when applying for job, but also prepares me foe what to expect in my field and increases in my work. Having an internship benefits me in the working environment, and it also builds my professional network. Internship can provide me with the soft skills needed in workplace and in leadership positions. It might seem common sense I am interning to learn skills, after all but don’t forget to purposefully observe others in their job role to learn the ins and outs of different positions. 1.3 Objectives of Internship/Summer Training. The primary objective of the summer internship program was to get awareness about the stock market, its variables and the various factors that govern the stock market.  To provide an over view of share price on selected companies.  To study about mutual funds.  To study about commodity.  To study about IPO.  To identify the growth drivers of banking sectors.  To take buy or sell decisions by interpreting tread.  To show the importance of using ARIMA ANALYSIS method for stock selection.  To study price moments by using different techniques.  To study pattern in stock by using ARIMA analysis.
  • 12. 4 1.4 SCOPE AND PERIOD OF THE TRAINING AS WELL AS CHAPERIZATION SCHME. SCOPE OF INTERNSHIP Internship experience plays a vital role to me to implement my theoretical knowledge and get a practical knowledge from my organization. I can implement this internship experience in my future work area. Share khan ltd gives me opportunity for gathering practical experience and preparation of the report. PERIOD OF INTERNSHIP The company I am working as intern is Sharekhan limited. My internship period is 2 months; I have joined on 1st April 2019 and will be working up to 31st may 2019. CHAPTALIZATION SCHME CHAPTER 1. – ‘INTRODUCTION TO INTERNSHIP’ CHAPTER 2. – ‘STUDY ABOUT THE COMPONY PROFILE’ CHAPTER 3 – ‘STUDY ABOUT THE INDUSTRY PROFILE’ CHAPTER 4 – ‘ORAGANISATION STUDY’ CHAPTER 5 – ‘WORK ASSIGNED’ CHAPTER 6 – ‘LITERSTURE REVIEW’ CHAPTER 7 – ‘RESERECH METHODLOGY’ CHAPTER 8 – ‘DATA ANALYSIS & INTERPRETATION’ CHAPTER 9 – ‘FINDING, SUGGESTIONS & CONLUSIONS’ CHAPTER 10 – ‘LIMITAIONS AND SCOPE FOR THE STUDY’ 1.5 MEANING OF THE CONCEPT:  DEMAT ACCOUNT: A Demat account is an account that allows investors to hold their shares in an electronic form. Stocks in Demat account remain in dematerialized form. Dematerialization is the process of converting physical shares into in electronic format. A Demat account number is required to
  • 13. 5 enable electronic settlements of all the trades. Demat account functions like a bank account.  STOCK EXCHANGE: Stock exchange is a market where shares and securities are bought and sold by members/brokers on behalf of their clients and also on their accounts.  IPO: An initial public offering is referred to as sale of equity of a company to the public by the promoters of the company.  MUTUAL FUNDS: Mutual funds companies collect funds from the investors and invest in a driver’s portfolio. The investments are made in equity, bond, money market instruments, real estate, gold etc  CAPITAL MARKET: Capital market is the part of financial system which is concerned with raising capital funds by dealing in Shares, Bonds, and other long-term investments. The market where Investments instruments like bonds, equities and mortgages are traded is known as the capital market.  MONEY MARKET: Money market is a market where short-term securities are bought and sold. The highly liquid marketable securities are also called as ‘’ MONEY MARKET’’ THE MAJOR PLAYERS IN THE MONEY MARKET: 1. Reserve Bank of India 2. Banks 3. Financial institutions 4. Big corporate houses  PRIMARY MARKET: The market in which new issues of securities are sold to the public.  SECONDORY MARKET: The market in which securities are traded after they have been issued. 1.6 RATIONALE FOR CHOOSING THE TOPIC: As more & more people are getting aware about the share market and due to various incentives taken by SEBI and GOI for educating people regarding investments avenues in stock market. large number of people is investing their surplus money in shares of the companies to get good amount of returns from stocks but at same time they have to bear both
  • 14. 6 systematic risk and unsystematic risk of fluctuations in earning due volatility. So as to minimize the effect of risk various models and theories had been formulated, among them one is ARIMA ANALYSIS. It is a tool to study and forecast the stock market movements. It is a method of measuring and evaluating the stocks by observing, analyzing the data or statistics provided by market activity. 1.7 IMPLEMENTATION STRETARGY FOR CONCEPT IN YOUR PRESENTSTUDY: The main objective of using the analysis tool is to predict the future fluctuations of the securities market and its effectiveness and impact level on market analysis, so for that purpose the following are some of the tools used in analysis process:-  Simple moving average  Exponential moving average  Stationary and non stationary data  Making data to stationary data and apply ARIMA  SIMPLE MOVING AVERAGES: A simple moving average is an arthematic moving averages calculated by adding the closing price of the security for a month of time periods and then dividing this total by the number of time periods.  EXPOTENTIAL MOVING AVEREGES: An exponential moving average is a type of average that is similar to a simple moving average, except that more weight is given to the latest data. It’s also known as the exponential weighted moving averages.  STATIONARY AND NON STATIONARY DATA: A stationary series is one whose statistical properties such as the mean, variance and autocorrelation are all constant over time. Hence, a non-stationary series is one whose statistical properties change over time. Non-stationary data should be first converted into stationary data, so that further statistical analysis can be done on the de-trended stationary data. If the data is non stationary data, make it stationary data and apply ARIMA
  • 16. 8 2.1 ABOUT SHAREKHAN COMPANY: Sharekhan Limited is an online website portal for online trading, investing and stock marketing. This company has eighteen years of experience of brokering business. It was earlier known as SSKI Group. This company now acquired by French Bank BNP paribus. Sharekhan offers its customers a wide range of equity related services including trade execution on BSE, NSE, Derivatives, Depository services, Online trading, Investment advice etc. The firm’s online trading and investment site-www.Sharekhan.com was launched on Feb 8, 2000 by Shripals Morakhiya. It is the largest stock broker portal and has its branches in 575 cities in India. The site gives access to superior content and transaction facility to real customers across the country. Known for its Jargon-free, investor friendly language and high- quality research, the site has a register base of over 4 lakh customers. The number of trading members currently stands at over 03 laths. While online trading currently accounts for just 01% of the daily trading stocks in India, Sharekhan alone accounts of 22% of the volumes traded online. TECHNOLOGY USED BY COMPANY Sharekhan has always believed in investing in technology to build its business. The company has used some of the best-known names in the IT industry, like Sun Microsystems, Oracle, Microsoft, Cambridge technologies, Nexgenix, vignette, Verisign Financial technologies India Ltd, Spider software Pvt Ltd. to build its trading engine and content. SHAREKHAN BUSINES  Brokering Business  White feathering house production. Name of the firm: Sharekhan by BNP Paribas.  Founded: Feb 2008  Headquarter: Mumbai, India  Country of origin: India  CEO: Jaideep Aroura  Industry: Financial Services  Parent: BNP Paribas
  • 17. 9 Contact Address details  Head office: A-206 Phoenix house, 2nd floor, Senapathibapatmarg, Lower panel Mumbai- 400013  Branch Office: Marathalli, Bangalore  Company website: www.Sharekhan.com MISSION, VISION AND OBJECTIVES Vision: “To be the best retail brokering brand in the retail business of stock market” Mission: “To educate and empower the individual investor to make better investment decisions through quality advise and superior service” Objectives of Sharekhan: “02 lakh plus retail customers being serviced through centralized call centre/web solutions” 60 branches, semi branches servicing affluent/aggressive traders through highly skilled financial advisors. 250 independent investment managers/franchises servicing 50 thousand highly valued clients Strong advisory role through fundamental and technical research New initiative-portfolio management services and commodities trading Dealing in mutual funds 2.2 AREA OF OPERATIONS Sharekhan is limited company operates in financial services in national level. Sharekhan head office is located in Mumbai.
  • 18. 10 2.2.1 Branches all over India 2.2.1 Figure showing areas of operations in India. 2.3 Name of the organizationand its business Name of the organization: Sharekhan Ltd Business: Financial services Functions of department  Marketing Department: the marketing is done through Offline and online ways. In the online we are using lead management system. And also, we are adopting various digital marketing techniques for easy marketing. In offline we follow Peer-peer marketing in which we meet the clients in person and briefing them about Demat Accounts.  Finance deportments: Keshav reddy our Branch manager takes care of each and every activity of the company. He is the financial head and deals with the all kinds of financial related issues.
  • 19. 11 2.4 PRODUCTS OF COMPANY:  Sharekhan products and services  Equities and Derivatives trading  Portfolio Management  Fundamental Research  Technical Research  Trade trigger: Ultimate online trading pattern with unifies screen for all exchanges  Share mobile: Mobile app for online trading  Classic account Trade on Sharekhan.com in equities, F&O, commodities, and currency.  Investing in IPOs, Mutual funds, and Bonds.  Share shop: Visit our branches to trade.  Deal-n-Trade: Trade on phone. 2.5 Size of the Organization Organization and position In India, Sharekhan has over 4800+ employees, and is present in over 575 cities through 150 branches, more than 2600 business partners. The company has 1.6 Million clients and on and average, executes more than 4lakh trades per day. Position of the company Sharekhan is the largest standalone retail brokerage in the country and third largest in terms of customer based of ICICI Direct and HDFC securities.
  • 20. 12 2.6 Organization Structure: As it is one of the branches of Sharekhan all the activities in the company are organized and monitored under the survey lines of our manager keshav reddy. Sharekhan follows line organization structure where the flow of authority and decision flows from top to bottom below. Line organization structure Sales Side Dealings Side Trainees Junior Dealers Super Trainees Dealers Sales executives Relationship Manager Senior Sales executives Senior Relationship Manger Business Development executives Equity Advisor Assistant Sales Manger Assistant Branch Manger Deputy Manager Branch Manger Territory Manager Cluster Head Area Sales Manager Directors Regional Sales Manger CEO Regional Head Vice President Directors CEO Branch Manger Relationshipmanager Assistant Branch Manager Sales executives & Student Interns
  • 21. 13 2.7 Competitor Information: 1. Angel Broking: Angel broking is one of the Sharekhan’s Top Competitors Angel Broking’s Headquarters is in Mumbai, and it was founded in 1987. Angel Broking Competes in the diversified financial service industry. Angel broking generates 35% of Sharekhan’s revenue. 2. Karvy: It is one of Sharekhan’s top rival, it was founded in 1979 and its headquarters is in Hyderabad, Telangana. It competes in the diversified Financial Services filed. It has 5350 more employees than Sharekhan. 3. Motilal Oswal: It is the Sharekhan’s 3rd rival. It is a public company that was founded in 1987 in Mumbai, Maharashtra. It operates in the bank industry. Compare to Sharekhan it has 5364 more employees. Comparative Analysis of Stock Brokers in Bangalore Region  Sharekhan  ICICI Direct  Angel Broking  Indian Bulls. 2.7.1 On the Basis of Brokerages There are 2 types of transactions 1. Intraday, 2. Delivery. ICICI Direct Sharekhan Indian Bulls Angel Broking Ltd A/C Opening fees 750 0 900 749 Recruiting fees for Trading A/c 0 0 0 0 Demat A/C 500 0 0 0 Delivery 75p 50p 50p 50p
  • 22. 14 Brokerage Intraday Brokerage 0.15 0.10 0.10 0.5 Initial Margin Required 0 0 0 Rs.5000 2.7.2 On the Basis of Account Opening Charges: 1. Angel Broking Account Opening charges are as follows Rs.749 But there is no AMC in it. 2. Sharekhan There are no Account opening charges. 3. ICICI Direct A onetime charge of Rs 750 AT the time of Account Opening will be charged. You may later upgrade your invest account to an ICICI Direct.com. Share trading Account when you desire to trade in Equity. 4. Indian Bulls Account Opening charges are Rs.900 there is no AMC and no margin money is required. Comment: Indian Bulls Charge Maximum account opening charges but there are no such charges in Sharekhan Pvt Ltd. 2.7.3 On the basis of facilities Basis difference Sharekhan Ltd Angel Broking ICICI direct Indian Bulls Share trading Yes Yes Yes Yes Commodity trading Yes Yes Yes Yes Demat Opening Rights Yes No Yes Yes
  • 24. 16 3.1 Brief profile of the Industry Financial services are the economic services provided by the finance industry, the financial industry, or financial services industry, includes a wide range of companies and institutions involved with money, including business providing money management, lending, investing, insuring and securities issuance and trading services. The following institutions are a part of the financial industry:  Banking  Insurance companies  Mutual funds  Securities exchanges  Payment Banks / Payment Processing companies like paytm  Housing Financing Companies like HDFC, LIC Housing, etc.  Investment Banking  Stock broking services  Financial planners. STOCK EXCHANGE: A stock exchange, share market or bourse is a corporation or mutual fund organization which provides facilitates for stock brokers and traders, to trade company stocks and other securities. Stock exchanges also provide facilities for the issue and redemption of securities, as well as, other financial instruments and capital events including the payment of income and dividends. The securities traded on a stock exchange include: shares issued by companies, unit trusts and other pooled investment products and bonds. To be able to trade a security on a certain stock exchange, it has to be listed there. NSE The National Stock Exchange of India is a Mumbai-based stock exchange. It is largest stock exchange in India and the 3rd largest in the world in terms of volumes of transactions. NSE is mutually- owned by a set of leading financial institutions, banks, insurance companies and other financial intermediaries in India bit its ownership and management operates as a separate entity. NSE has a market capitalization of around US$1 trillion and over 1652 listings as of July 2012.
  • 25. 17 NSE MISSION NSE’s mission is setting the agenda for change in the securities market in India. The NSE was set -up with the main objective of :  Establishin a nation -wide facility for equities, debt instruments and hybrids,  Ensuring equal acces to investors all over the counrtry through an appropriate communication network,  Providing a fair, efficient and transperent securities market to investors using electronic trading systems,  Enabling shorter settlement cycles and book entry settlements systems, and meetings the current international standards of securities markets.
  • 26. 18 BSE The Bombay Stock Exchange is the oldest stock exchange in Asia. It is located at Dalal Street, Mumbai, India. The BSE was established in 1875. There are around 7000+ companies are listed with the stock exchange, and have a significant trade volume. The companies listed on BSE Ltd command a total market capitalization of USD Trillion 1.32of January 2013. The BSE SENSEX (Sensitive index), also called the ‘’BSE30’’, is a widely used market index in India and Asia. It is also one of the world’s leading exchanges (3rd largest in December 2012) for index option trading. MISSION To drive sustainable economic growth by providing a gateway for rising for capital and accessing investment opportunities. History of financial services in global: The term ‘’financial services’’ became more prevalent in the United States partly as a result of the Gramm-Leach-Bliley Act of the late 1990s, which enabled different types of companies operating in the U.S. financial services industry at the time to merge.
  • 27. 19 3.2Present Financial Industry Status: The financial sector in India is experiencing swift expansion. The financial sector represents a mix of banking and non-banking financial companies, pension funds, insurance companies, mutual funds and all other companies offering financial services and advice to the investors and clients. The services sector in India is already contributing a lot to the economic development. Approximately 57 percent of the GDP of India is represented by service sector. The Government of India is also committed to opt for liberalized policy to boost in further and motive foreign players to enter in this segment. The Indian market is the one of the most vibrant financial market of the world. 3.3Future prospects of the industry: The following are some of the key features of performance of financial sector in India. 1. The banking assets in India are expected to reach USD 28.5 trillion by financial year 2025 2. The investment corpus in the pension sector in India is expected to cross USD 1 trillion by 2025 3. SEBI has given approval to International Finance Centre which will help India to develop as a financial hub like Dubai and Singapore. 4. Indian finance companies are extending their business across the world and having the collaboration with all major financial sector performance at world level.
  • 29. 21 4.1 Various departments in the organization  Marketing department  Finance department 4.2 Functions of various department: Marketing department The marketing is done through both offline and online ways. In online we are using lead management system and also, we are adopting various digital marketing techniques for the easy marketing. In offline we follow peer-peer marketing in which we meet the clients in person and brief them about the Demat account. Finance department Mr. Keshav Reddy, our finance manager takes care of financial activities in the company. He is the financial head and deals with the all kind s of financial related issues.
  • 31. 23 WORK ASSIGNED: In the organisation, I am direct associate to my branch Manager Mr. Keshav Reddy who manages all the activities in the firm. The following are works assigned to me during my internship.  Communicating various clients Via Telephone and e-mail.  Fixing an appointment with the client for the meeting.  Meeting the clients as per the schedule an appointment time.  Giving brief presentation about the company and its various services.  Understanding the client’s requirements.  Convincing the clients for opening Demat account in Sharekhan.  Client Assistance if he / she agree for the opening of Demat account or other financial services like mutual funds we deal accordingly.  Client documentation  Analysing the stocks. 5.1 Process followed Made awareness about stock marketinvestment to clients Discuss advantages of Demat account in Sharekhan Taught the basic and Usage of website of Sharekhan Convince them to Demat Account Finally collected the documentsandverify and thenopenDemat Account
  • 32. 24 5.2Results Achieved: The following are the results that I have achieved by working with Sharekhan as a part of my internship. I have met around 22 clients and my child friends. I made them aware about the benefits of investing in stock market. I have convinced 12 clients for the opening of Demat accounts. Almost all of them started trading in share market. I have also advised them to invest in IPOs as well as mutual funds. I could also analyse performance of the stocks. 5.3Conclusion, Learning and Suggestion 5.3.1Learning from the training program: Sharekhan Limited has reputed name worldwide and it is concentrating more on stock broking. It has renowned name in finance products distribution. During my internship, I got know about the following such as: Client Relationship Management: In the broking firm, the client and client data base are the asset of the company, the management such as asset is very important. The client data base keeps on growing if it is well managed, on addition of the new clients we should not compromise with the service of the old clients. 1. Client handling skills: I got an experience of handling almost all type of clients as in this industry. Most of the clients are rude while others are good 2. Communication skills: This project has given the opportunity to talk new people and meeting the unknown clients which helped me in improving the communication skills. And now I am more confident in talking to new people and am now better able to put my views on the discussions. 3. Familiarity with the trading basics: In this internship, I came to learn about the basics in stock marketing trading like trading terminology along with the software, and factors effecting the stock movements.
  • 33. 25 5.3.2Suggestions:  A low rate brokerage than the existing rate will encourage the existing investors to invest more and would attract more new clients.  Providing more in -depth insight of the market to the investors will strengthen their confidence and help them to take quick decision.  Introduction of market alerts through SMS and Emails raise satisfaction level clients. 5.3.3Conclusion:  Everything that rises has to fall in the equity market. There is no solid proof way to determine the trend of the equity market. Anything could happen to male all of the information collected to study the trend of the equity market worthies, but we have to at least consider the past trends and understand that there is a chance the market will behave similarly and will enter a period of significant decline. Political, social happening and emotions of the investors play a big role in the equity market.  That’s why a good and constant study of the market and hoe the equity of various companies behaves in the market should be studied well and if possible a constant touch with the experts to helps a long way.  From the Sharekhan point of view a better marketing of its product and a good advice regarding investment can go a long way in attracting more investor. As it is a period of staff competition it is necessary that the instruments of Sharekhan do offer attractive returns. 5.3.4Future possibilities: As it is a branch office, there is no much scope for finance role. But there is good opportunity in sales field as a client relationship manager.
  • 34. 26 Chapter -- 6: Review of Literature
  • 35. 27 Bogdan svrydov: There are many algorithms of forecasting stock price using a time series. The most popular methods are Autoregressive model (AR), Moving Average model (MA), Autoregressive Moving Average (ARMA) and Autoregressive Moving Integrated Average (ARIMA). AR model based its predictions on the historical stock price, as against to MA model that riles on historical error terms. ARMA is a combination of the previous two models. It predicts future values according to the linear relationship of the past error term and stock prices. Ayodele A. Adebiy: Prediction will continue to be an interesting area of research making researchers in the domain field always desiring to improve existing predictive models. The reason is that institutions and individuals are empowered to make investment decisions and ability to plan and develop effective strategy about their daily and future endevours. Stock price prediction is regarded as one of most difficult task to accomplish in financial forecasting due to complex nature of stock market. The desire of many investors is to lay hold of any forecasting method that could guarantee easy profiting and minimize investment risk from the stock market. This remains a motivating factor for researchers to evolve and develop new predictive models. Charles K. Ayo: ARIMA models are from statistical models perspectives. Generally, it is reported in literature that prediction can be done from two perspectives: statistical and artificial intelligence techniques. ARIMA models are known to be robust and efficient in financial time series forecasting especially short term prediction than even the most popular ANNs techniques. It has been extensively used in field of economics and finance. Other statistics models are regression method, exponential smoothing, generalized autoregressive conditional heteroskedasticity (GARCH). Few related works that has engaged ARIMA model for forecasting includes.
  • 37. 29 Box and Jenkins in 1970 introduced the ARIMA model. It also referred to as Box-Jenkins methodology composed of set of activities for identifying, estimating and diagnosing ARIMA models with time series data. The model is most prominent methods in financial forecasting. ARIMA models have shown efficient capability to generate short-term forecasts. It constantly outperformed complex structural models in short-term prediction. In ARIMA model, the future value of a variable is a linear combination of past values and past errors. The method used in this study to develop ARIMA model for stock price forecasting is explained in detail in subsections below. The tool used for implementation is Eviews software version 5. Stock data used in this research work are historical daily stock prices obtained from two countries stock exchanged. The data composed of four elements, namely: open price, low price, high price and close price respectively. In this research the closing price is chosen to represent the price of the index to be predicted. Closing price is chosen because it reflects all the activities of the index in a trading day. To determine the best ARIMA model among several experiments performed, the following criteria are used in this study for each stock index.  Correlogram show that there is no significant pattern left in the autocorrelation functions (ACFs).  A D F (Augmented Dickey-Fuller)  Relatively small of BIC (Bayesian or Schwarz Information Criterion)  Forecast helps to find the Predicted Values of share price. I had selected top five cement companies in India for Predicted Values of share price by using ARIMA Model in E-views software. The top five companies are following; 9 UltraTech Cement 10 Shree Cements 11 Ambuja Cements 12 ACC 13 J. K. Cement
  • 38. 30 Chapter -- 8: Data Analysis and Interpretation
  • 39. 31 The following data is raw data (secondary data) which is collected from different sources and the contains of following:  Date.  Opening price of the day. (Open)  Highest price of the day. (High)  Lowest price of day. (Low)  Closing price of the day. (Close) UltraTech Cement Date Open High Low Close 01-Apr-19 4,021.25 4,142.00 4,015.00 4,041.95 02-Apr-19 4,050.00 4,084.95 3,989.95 4,021.05 03-Apr-19 4,030.00 4,068.55 3,985.05 4,002.30 04-Apr-19 4,015.00 4,111.30 4,015.00 4,079.90 05-Apr-19 4,120.00 4,205.00 4,097.10 4,186.55 08-Apr-19 4,206.00 4,229.25 4,140.00 4,158.95 09-Apr-19 4,160.00 4,173.10 4,110.00 4,164.65 10-Apr-19 4,159.95 4,164.65 4,118.35 4,126.60 11-Apr-19 4,101.00 4,164.90 4,095.50 4,151.30 12-Apr-19 4,150.00 4,196.50 4,137.10 4,165.15 15-Apr-19 4,170.00 4,234.80 4,159.75 4,222.40 16-Apr-19 4,225.00 4,279.55 4,212.05 4,254.00 18-Apr-19 4,255.90 4,273.45 4,220.95 4,250.55 22-Apr-19 4,250.00 4,275.00 4,181.05 4,205.00 23-Apr-19 4,202.80 4,226.15 4,183.05 4,203.65 24-Apr-19 4,150.80 4,436.75 4,116.20 4,396.45 25-Apr-19 4,426.00 4,686.30 4,426.00 4,619.95 26-Apr-19 4,632.00 4,636.50 4,561.10 4,613.45 30-Apr-19 4,600.00 4,645.00 4,555.00 4,618.95 Date Open High Low Close 02-May-19 4,630.00 4,635.70 4,578.75 4,623.40 03-May-19 4,623.40 4,628.70 4,557.50 4,573.35 06-May-19 4,517.70 4,550.75 4,488.00 4,517.60 07-May-19 4,518.00 4,558.60 4,514.55 4,527.75 08-May-19 4,528.00 4,552.00 4,493.00 4,510.65 09-May-19 4,470.00 4,519.20 4,455.85 4,481.35 10-May-19 4,488.70 4,497.00 4,426.05 4,434.20 13-May-19 4,407.50 4,425.60 4,314.65 4,342.25 14-May-19 4,343.00 4,459.00 4,289.65 4,419.65 15-May-19 4,430.00 4,430.00 4,329.95 4,347.50 16-May-19 4,360.00 4,516.75 4,325.65 4,502.80 17-May-19 4,519.95 4,519.95 4,439.00 4,491.90 20-May-19 4,530.10 4,805.00 4,530.10 4,767.15 21-May-19 4,785.05 4,785.10 4,620.00 4,648.60 22-May-19 4,648.60 4,674.95 4,593.00 4,646.95 23-May-19 4,670.00 4,880.00 4,646.00 4,673.05 24-May-19 4,708.55 4,805.50 4,663.00 4,796.35 27-May-19 4,799.00 4,903.90 4,766.10 4,837.45 28-May-19 4,850.10 4,867.20 4,760.10 4,785.25 29-May-19 4,788.00 4,788.00 4,705.15 4,719.55 30-May-19 4,721.00 4,784.90 4,706.00 4,756.90 31-May-19 4,765.00 4,779.60 4,666.35 4,757.65 . Table 8.1 raw data of UltraTech Cement
  • 40. 32 Shree Cements Date Open High Low Close 01- Apr-19 18,80 0.00 18,97 7.80 18,65 2.30 18,78 0.80 02- Apr-19 18,70 0.00 18,70 0.00 18,45 0.00 18,50 5.10 03- Apr-19 18,55 0.00 18,70 5.10 18,50 7.10 18,62 1.40 04- Apr-19 18,53 0.00 19,22 5.80 18,53 0.00 18,81 5.80 05- Apr-19 18,81 0.00 19,10 0.00 18,81 0.00 19,05 7.60 08- Apr-19 19,22 0.30 19,22 0.30 18,75 0.10 18,84 6.60 09- Apr-19 18,75 0.00 19,03 6.20 18,55 7.20 18,95 6.60 10- Apr-19 19,00 5.00 19,03 8.90 18,81 5.40 18,96 1.30 11- Apr-19 18,96 1.30 19,00 0.00 18,85 2.70 18,90 4.60 12- Apr-19 19,05 0.00 19,16 4.10 18,99 8.10 19,03 5.30 15- Apr-19 19,19 8.90 19,44 3.20 19,10 4.80 19,37 9.10 16- Apr-19 19,45 0.00 19,64 9.30 19,41 5.00 19,58 7.40 18- Apr-19 19,52 8.20 19,82 5.00 19,28 2.90 19,65 6.30 22- Apr-19 19,50 0.00 19,77 4.10 19,26 5.80 19,45 1.10 23- Apr-19 19,39 3.80 19,61 0.00 19,22 0.00 19,35 7.50 24- Apr-19 19,20 7.30 19,54 4.90 18,97 4.60 19,46 9.70 25- Apr-19 19,40 0.00 20,10 3.20 19,29 9.20 19,89 3.80 26- Apr-19 19,95 9.00 20,07 4.80 19,89 0.20 19,99 9.90 30- Apr-19 20,05 9.20 20,19 9.90 19,46 9.00 19,73 8.20 Date Open High Low Close 02- May-19 19,61 6.00 19,98 5.30 19,61 6.00 19,81 8.20 03- May-19 19,85 0.00 20,10 0.00 19,79 4.90 19,87 8.80 06- May-19 19,79 9.90 19,84 4.70 19,66 6.40 19,74 8.00 07- May-19 19,75 7.30 19,95 0.00 19,63 6.80 19,73 1.00 08- May-19 19,70 0.00 19,80 0.00 19,50 0.90 19,75 7.10 09- May-19 19,75 7.10 19,75 7.10 19,20 4.20 19,28 5.60 10- May-19 19,25 0.00 19,29 6.30 18,91 8.20 18,98 9.90 13- May-19 18,90 5.80 19,53 7.40 18,57 5.00 18,81 6.40 14- May-19 18,79 6.60 19,20 0.00 18,58 3.20 18,98 6.20 15- May-19 19,12 1.60 19,19 5.10 18,87 0.70 19,00 0.60 16- May-19 19,09 4.30 19,55 5.30 18,73 5.80 19,41 2.80 17- May-19 19,08 3.20 19,72 7.70 18,74 1.30 19,33 2.10 20- May-19 19,90 0.00 20,62 5.30 19,83 1.30 20,33 2.90 21- May-19 20,36 6.40 20,92 5.80 20,10 4.80 20,45 5.20 22- May-19 20,68 0.00 20,68 0.00 20,02 1.00 20,19 1.40 23- May-19 20,59 1.60 21,26 4.90 20,59 1.60 20,81 9.70 24- May-19 21,01 6.90 21,01 6.90 20,77 4.60 20,91 8.70 27- May-19 20,78 6.40 21,59 9.80 20,78 6.40 21,53 5.60 28- May-19 21,30 0.00 21,79 9.90 21,30 0.00 21,66 6.30 29- May-19 21,52 5.00 21,70 0.00 21,40 6.10 21,61 1.60 30- May-19 21,51 3.50 21,89 9.80 21,29 1.80 21,42 1.10 31- May-19 21,52 6.20 21,75 0.00 21,42 6.20 21,56 1.70 . Table 8.2 raw data of Shree Cements
  • 41. 33 Ambuja Cements Date Open High Low Close 01-Apr- 19 237 244 233.4 5 234.5 5 02-Apr- 19 235 236.5 228.8 229.9 5 03-Apr- 19 231 235.9 225.9 5 226.7 5 04-Apr- 19 226.7 5 229.3 5 222.0 5 222.6 05-Apr- 19 224.7 227.9 222.5 5 224 08-Apr- 19 227.7 5 228.9 224.4 5 225.6 09-Apr- 19 225.6 227.9 5 221.8 227.1 5 10-Apr- 19 226.5 227.6 5 223.0 5 223.9 11-Apr- 19 224.0 5 228.8 222.6 227.2 12-Apr- 19 227.1 230.9 226.7 229.1 5 15-Apr- 19 230.2 230.3 5 226.9 227.4 5 16-Apr- 19 228.4 233 227.6 5 232 18-Apr- 19 232 235.2 5 230 233.4 22-Apr- 19 231.5 232.1 225.1 226.1 23-Apr- 19 226.4 5 228.8 5 225.6 226.8 24-Apr- 19 223 226.3 5 216.0 5 224.1 25-Apr- 19 222.3 5 229.8 5 219.5 220.5 5 26-Apr- 19 223 226.5 5 221.7 5 226 30-Apr- 19 227 227.7 217.6 220.5 Date Open High Low Close 02-May- 19 219.5 225.9 5 218.0 5 221.0 5 03-May- 19 221.5 223.3 220.1 5 221.7 06-May- 19 220.2 5 221.2 5 218.0 5 219.7 07-May- 19 221.2 5 222.4 5 217.5 218.2 08-May- 19 218.2 5 219.1 212.4 213.3 5 09-May- 19 212.5 214.7 5 210.5 5 213.9 5 10-May- 19 213.9 5 215.9 213.1 214.7 5 13-May- 19 214.1 215.7 208.9 5 210 14-May- 19 209.9 214.9 5 208.0 5 213.1 15-May- 19 213.1 5 213.9 5 208.7 5 209.7 5 16-May- 19 208.6 216.9 5 208.2 215.2 5 17-May- 19 214.4 5 220 213.2 219 20-May- 19 224 228.8 5 220 224.2 21-May- 19 225.1 227.0 5 219.1 5 220.4 5 22-May- 19 220.5 223.1 218.7 220.5 5 23-May- 19 224.3 5 230.8 221.6 222.5 5 24-May- 19 223.2 232.8 222.5 5 231.6 5 27-May- 19 233 239.9 231.1 5 239.1 5 28-May- 19 238 240.2 5 235.7 238.4 29-May- 19 238.2 238.4 233.1 5 233.8 5 30-May- 19 233.9 235.2 5 232.1 233 31-May- 19 234.9 5 235 228 230.6 . Table 8.3 raw data of Ambuja Cements
  • 42. 34 ACC Date Open High Low Close 01- Apr-19 1,673 .00 1,723 .40 1,637 .65 1,646 .90 02- Apr-19 1,648 .90 1,669 .00 1,609 .00 1,617 .35 03- Apr-19 1,627 .90 1,645 .00 1,615 .70 1,624 .60 04- Apr-19 1,629 .90 1,652 .15 1,616 .75 1,628 .85 05- Apr-19 1,635 .00 1,670 .00 1,634 .40 1,664 .45 08- Apr-19 1,675 .00 1,680 .00 1,636 .00 1,640 .40 09- Apr-19 1,639 .00 1,658 .45 1,620 .00 1,654 .30 10- Apr-19 1,652 .60 1,655 .90 1,630 .00 1,636 .65 11- Apr-19 1,645 .00 1,681 .25 1,636 .05 1,675 .90 12- Apr-19 1,675 .90 1,685 .55 1,653 .00 1,656 .40 15- Apr-19 1,664 .00 1,680 .00 1,658 .30 1,673 .35 16- Apr-19 1,680 .00 1,711 .50 1,677 .00 1,703 .00 18- Apr-19 1,705 .80 1,709 .75 1,680 .00 1,699 .45 22- Apr-19 1,693 .00 1,695 .80 1,660 .00 1,663 .00 23- Apr-19 1,672 .00 1,682 .95 1,652 .20 1,661 .65 24- Apr-19 1,625 .00 1,625 .00 1,570 .00 1,606 .00 25- Apr-19 1,606 .00 1,664 .75 1,603 .00 1,623 .00 26- Apr-19 1,628 .00 1,641 .40 1,623 .35 1,635 .35 30- Apr-19 1,640 .00 1,649 .30 1,601 .05 1,632 .05 Date Open High Low Close 02- May-19 1,628. 00 1,644. 15 1,606. 20 1,613. 10 03- May-19 1,619. 90 1,637. 85 1,610. 65 1,633. 90 06- May-19 1,617. 25 1,628. 15 1,606. 30 1,620. 40 07- May-19 1,624. 15 1,637. 90 1,590. 15 1,596. 90 08- May-19 1,601. 00 1,606. 95 1,563. 55 1,593. 20 09- May-19 1,589. 00 1,604. 85 1,566. 10 1,596. 35 10- May-19 1,595. 00 1,614. 95 1,592. 40 1,602. 35 13- May-19 1,602. 70 1,613. 50 1,575. 00 1,583. 00 14- May-19 1,577. 00 1,587. 80 1,564. 75 1,572. 30 15- May-19 1,582. 90 1,583. 00 1,542. 35 1,554. 50 16- May-19 1,552. 05 1,589. 45 1,541. 00 1,583. 35 17- May-19 1,575. 50 1,614. 65 1,570. 10 1,606. 60 20- May-19 1,635. 00 1,682. 25 1,633. 00 1,662. 95 21- May-19 1,670. 00 1,681. 00 1,595. 50 1,609. 85 22- May-19 1,620. 80 1,634. 50 1,607. 05 1,615. 00 23- May-19 1,638. 75 1,680. 20 1,621. 55 1,639. 80 24- May-19 1,651. 95 1,709. 35 1,638. 00 1,704. 90 27- May-19 1,706. 00 1,765. 20 1,700. 00 1,759. 80 28- May-19 1,758. 00 1,769. 05 1,738. 75 1,750. 70 29- May-19 1,739. 50 1,745. 25 1,711. 80 1,721. 55 30- May-19 1,717. 90 1,732. 90 1,701. 20 1,708. 15 31- May-19 1,714. 00 1,719. 45 1,670. 00 1,686. 00 . Table 8.4 raw data of ACC
  • 43. 35 J. K. Cement Date Open High Low Close 01- Apr-19 873 885 842.5 851.5 02- Apr-19 851 874.8 5 844.5 5 859.9 03- Apr-19 855 865.9 5 827.2 5 838.4 04- Apr-19 826.8 5 860 826.8 5 851.3 05- Apr-19 859.7 864.5 853 860 08- Apr-19 864.1 874 861 866.6 5 09- Apr-19 860 872 848 865 10- Apr-19 860.1 5 874.2 850.3 870.1 11- Apr-19 867.9 889.2 864.9 873.9 5 12- Apr-19 880 887.4 874 875.0 5 15- Apr-19 870 898.5 5 870 886.1 5 16- Apr-19 882.1 5 901.2 880 885.8 5 18- Apr-19 880 891 877 884 22- Apr-19 879.3 883.4 5 862.2 5 869.9 5 23- Apr-19 869 881 851.3 5 868.7 24- Apr-19 860 890 841.1 5 876.3 25- Apr-19 875 924 875 905.3 5 26- Apr-19 907 918.9 5 876.6 892.4 30- Apr-19 892 914 872.5 5 903.3 5 Date Open High Low Close 02- May-19 895 912.3 885.5 5 904.4 03- May-19 900 904.0 5 870 872.2 06- May-19 861 869.4 841.6 849.7 5 07- May-19 858.0 5 861.8 839 845.6 5 08- May-19 838.4 5 852.7 824.1 5 846.3 09- May-19 840 847.9 5 831.1 5 840.3 5 10- May-19 833.8 856 833.8 844.3 5 13- May-19 850 860 830 839.3 5 14- May-19 840 852.9 826 845.7 15- May-19 858.3 5 860 847 851.4 16- May-19 853.3 855.8 5 843.9 5 845.3 5 17- May-19 847.4 853.1 5 827 840.2 5 20- May-19 893.2 5 919 870.3 5 910.8 5 21- May-19 918 995 902.9 5 947.9 5 22- May-19 948 989.9 935 964.4 5 23- May-19 995 1,019. 90 966.2 5 989.9 5 24- May-19 988 1,046. 05 987.9 5 1,039. 05 27- May-19 1,049. 95 1,074. 75 1,013. 80 1,029. 80 28- May-19 1,035. 00 1,075. 00 1,035. 00 1,068. 15 29- May-19 1,070. 00 1,071. 05 1,029. 00 1,035. 05 30- May-19 1,024. 60 1,050. 00 1,010. 00 1,021. 85 31- May-19 1,023. 05 1,059. 00 1,023. 05 1,043. 00 . Table 8.5 raw data of J. K. Cement
  • 44. 36 ARIMA Model for UltraTech Cement  Correlogram of UltraTech Cement closing price Figure 8.1: The correlogram of UltraTech Cement closing price Figure 8.1 is the correlogram of UltraTech Cement closing price. From the ACF dies down extremely slowly this simply means that the time series is nonstationary. If the series is not stationary, it is converted to a stationary series by differencing. After the first difference, the series “DCLOSE” of UltraTech Cement stock index becomes stationary as shown in figure 8.2 correlogram respectively. Figer 8.2
  • 45. 37  Augmented Dickey-Fuller Root Test on Dclose Figer 8.3 ADF test on DClose In figure 4 the model checking was done with Augmented Dickey Fuller (ADF) unit root test on “DCLOSE” of UltraTech Cement stock index. The result confirms that the series becomes stationary after the first-difference of the series.
  • 46. 38  ARIMA Model for UltraTech Cement Figers 8.4 & 8.5 ARIMA Model for UltraTech Cement  Figers 5 & 6 shows the different among the several ARIMA model experimented upon. ARIMA (0, 0) (0, 0) is considered the best for UltraTech Cement stock index as shown in figure 6. The model returned the smallest Bayesian or Schwarz information criterion of 11.842 shown in figure 6. 14 As shown in the above process I had did for reaming four companies also (Shree Cements, Ambuja Cements, ACC, J. K. Cement).
  • 48. 40 Findings UltraTech Cement Date Actual Values Predicted Values Date Actual Values Predicted Values 01/04/2019 4041.95 4004.32 02/05/2019 4623.40 4554.32 02/04/2019 4021.05 3985.65 03/05/2019 4573.35 4498.80 03/04/2019 4002.30 4062.92 06/05/2019 4517.60 4508.91 04/04/2019 4079.90 4169.13 07/05/2019 4527.75 4491.88 05/04/2019 4186.55 4141.65 08/05/2019 4510.65 4462.70 08/04/2019 4158.95 4147.32 09/05/2019 4481.35 4415.75 09/04/2019 4164.65 4109.43 10/05/2019 4434.20 4324.18 10/04/2019 4126.60 4134.03 13/05/2019 4342.25 4401.26 11/04/2019 4151.30 4147.82 14/05/2019 4419.65 4329.41 12/40/2019 4165.15 4204.83 15/05/2019 4347.50 4484.06 15/04/2019 4222.40 4236.30 16/05/2019 4502.80 4473.21 16/04/2019 4254.00 4232.86 17/05/2019 4491.90 4747.31 18/04/2019 4250.55 4187.50 20/05/2019 4767.15 4629.26 22/04/2019 4205.00 4186.16 21/05/2019 4648.60 4627.61 23/04/2019 4203.65 4378.16 22/05/2019 4646.95 4653.61 24/04/2019 4396.45 4600.73 23/05/2019 4673.05 4776.39 25/04/2019 4619.95 4594.25 24/05/2019 4796.35 4817.32 26/04/2019 4613.45 4599.73 27/05/2019 4837.45 4765.34 30/04/2019 4618.95 4604.16 28/05/2019 4785.25 4699.91 29/05/2019 4719.55 4737.11 30/05/2019 4756.90 4737.85 Table 9.1 final data of UltraTech Cement Figure 9.1 graph of UltraTech Cement Here: CLOSE is Actual Values CLOSEF is PredictedValues
  • 49. 41 Shree Cements Date Actual Values Predicted Values Date Actual Values Predicted Values 01/04/2019 18780.8 18436.68 02/05/2019 19818.2 19805.30 02/04/2019 18505.1 18552.55 03/05/2019 19878.8 19674.99 03/04/2019 18621.4 18746.23 06/05/2019 19748.0 19658.05 04/04/2019 18815.8 18987.14 07/05/2019 19731.0 19684.05 05/04/2019 19057.6 18776.92 08/05/2019 19757.1 19214.29 08/04/2019 18846.6 18886.51 09/05/2019 19285.6 18919.69 09/04/2019 18956.6 18891.19 10/05/2019 18989.9 18746.83 10/04/2019 18961.3 18834.70 13/05/2019 18816.4 18916.00 11/04/2019 18904.6 18964.92 14/05/2019 18986.2 18930.35 12/04/2019 19035.3 19307.45 15/05/2019 19000.6 19341.02 15/04/2019 19379.1 19514.98 16/05/2019 19412.8 19260.62 16/04/2019 19587.4 19583.62 17/05/2019 19332.1 20257.72 18/04/2019 19656.3 19379.18 20/05/2019 20332.9 20379.57 22/04/2019 19451.1 19285.93 21/05/2019 20455.2 20116.75 23/04/2019 19357.5 19397.71 22/05/2019 20191.4 20742.72 24/04/2019 19469.7 19820.25 23/05/2019 20819.7 20841.36 25/04/2019 19893.8 19925.95 24/05/2019 20918.7 21455.98 26/04/2019 19999.9 19665.22 27/05/2019 21535.6 21586.19 30/04/2019 19738.2 19744.93 28/05/2019 21666.3 21531.69 29/05/2019 21611.6 21341.90 30/05/2019 21421.1 21481.98 Table 9.2 final data of Shree Cements Figure 9.2 graph of Shree Cements Here: CLOSE is Actual Values CLOSEF is Predicted Values
  • 50. 42 Ambuja Cements Date Actual Values Predicted Values Date Actual Values Predicted Values 01/04/2019 234.55 230.02 02/05/2019 221.05 221.76 02/04/2019 229.95 226.82 03/05/2019 221.70 219.76 03/04/2019 226.75 222.67 06/05/2019 219.70 218.26 04/04/2019 222.60 224.07 07/05/2019 218.20 213.41 05/04/2019 224.00 225.67 08/05/2019 213.35 214.01 08/04/2019 225.60 227.22 09/05/2019 213.95 214.81 09/04/2019 227.15 223.97 10/05/2019 214.75 210.06 10/04/2019 223.90 227.27 13/05/2019 210.00 213.16 11/04/2019 227.20 229.22 14/05/2019 213.10 209.81 12/04/2019 229.15 227.52 15/05/2019 209.75 215.31 15/04/2019 227.45 232.07 16/05/2019 215.25 219.06 16/04/2019 232.00 233.47 17/05/2019 219.00 224.27 18/04/2019 233.40 226.17 20/05/2019 224.20 220.51 22/04/2019 226.10 226.87 21/05/2019 220.45 220.61 23/04/2019 226.80 224.17 22/05/2019 220.55 222.62 24/04/2019 224.10 220.61 23/05/2019 222.55 231.72 25/04/2019 220.55 226.07 24/05/2019 231.65 239.22 26/04/2019 226.00 220.56 27/05/2019 239.15 238.47 30/04/2019 226.00 220.56 28/05/2019 238.40 233.92 29/05/2019 233. 85 233.07 30/05/2019 233.00 230.67 Table 9.3 final data of Ambuja Cement Figure 9.3 graph of Ambuja Cements Here: CLOSE is Actual Values CLOSEF is Predicted Values
  • 51. 43 ACC Date Actual Values Predicted Values Date Actual Values Predicted Values 01/04/2019 1646.90 1616.14 02/05/2019 1613.10 1632.68 02/04/2019 1617.35 1623.39 03/05/2019 1633.90 1619.19 03/04/2019 1624.60 1627.63 06/05/2019 1620.40 1595.71 04/04/2019 1628.85 1663.21 07/05/2019 1596.90 1592.01 05/04/2019 1664.45 1639.17 08/05/2019 1593.20 1595.16 08/04/2019 1640.40 1653.06 09/05/2019 1596.35 1601.15 09/04/2019 1654.30 1635.43 10/05/2019 1602.35 1581.82 10/04/2019 1636.65 1674.65 13/05/2019 1583.00 1571.13 11/04/2019 1675.90 1655.16 14/05/2019 1572.30 1553.34 12/04/2019 1656.40 1672.10 15/05/2019 1554.50 1582.17 15/04/2019 1673.35 1701.73 16/05/2019 1583.35 1605.40 16/04/2019 1703.00 1698.18 17/05/2019 1606.60 1661.71 18/04/2019 1699.45 1661.76 20/05/2019 1662.95 1608.65 22/04/2019 1663.00 1660.41 21/05/2019 1609.85 1613.79 23/04/2019 1661.65 1604.80 22/05/2019 1615.00 1638.57 24/04/2019 1606.00 1621.79 23/05/2019 1639.80 1703.63 25/04/2019 1623.00 1634.13 24/05/2019 1704.90 1758.49 26/04/2019 1635.35 1630.83 27/05/2019 1759.80 1749.39 30/04/2019 1632.05 1611.89 28/05/2019 1750.70 1720.26 29/05/2019 1721.55 1706.87 30/05/2019 1708.15 1684.74 Table 9.4 final data of ACC Figure 9.4 graph of ACC Here: CLOSE is Actual Values CLOSEF is Predicted Values
  • 52. 44 J. K. Cement Date Actual Values Predicted Values Date Actual Values Predicted Values 01/04/2019 851.50 854.88 02/05/2019 904.40 867.11 02/04/2019 859.90 833.51 03/05/2019 872.20 844.79 03/04/2019 838.40 846.33 06/05/2019 849.75 840.72 04/04/2019 851.30 854.98 07/05/2019 845.65 841.36 05/04/2019 860.00 861.59 08/05/2019 846.30 835.45 08/04/2019 866.65 859.95 09/05/2019 840.35 839.42 09/04/2019 865.00 865.02 10/05/2019 844.35 834.45 10/04/2019 870.10 868.85 13/05/2019 839.35 840.77 11/04/2019 873.95 869.95 14/05/2019 845.70 846.43 12/04/2019 875.05 880.98 15/05/2019 851.40 840.42 15/04/2019 886.15 880.68 16/05/2019 845.35 835.35 16/04/2019 885.85 878.84 17/05/2019 840.25 905.54 18/04/2019 884.00 864.88 20/05/2019 910.85 942.42 22/04/2019 869.95 863.63 21/05/2019 947.95 958.82 23/04/2019 868.70 871.19 22/05/2019 964.45 984.18 24/04/2019 876.30 900.07 23/05/2019 989.95 1032.99 25/04/2019 905.35 887.19 24/05/2019 1039.05 1023.79 26/04/2019 892.40 898.08 27/05/2019 1029.80 1061.92 30/04/2019 903.35 899.12 28/05/2019 1068.15 1029.01 29/05/2019 1035.05 1015.89 30/05/2019 1021.85 1036.92 Table 9.5 final data of J. K. Cement Figure 9.5 graph of J. K. Cement Here: CLOSE is Actual Values CLOSEF is Predicted Values
  • 53. 45 Conclusions This project presents extensive process of building ARIMA model for stock price prediction. The experimental results obtained with best ARIMA model demonstrated the potential of ARIMA models to predict stock prices satisfactory on short-term basis. This could guide investors in stock market to make profitable investment decisions. With the results obtained ARIMA models can compete reasonably well with emerging forecasting techniques in short- term prediction. Chapter-10 LIMITATIONS:  The study is confined to a period of 2 months from April 1st 2019 to 30th May 2019.  The accuracy is limited as the data collection was strictly confined to secondary sources. BIBLIOGRAPHY:  Bogdan svrydov -Forecasting stock price and stock index value in UK market.  Ayodele A. Adebiyi, Aderemi O. Adewumi, 3Charles - Stock Price Prediction Using the ARIMA Model.  www.Sharekhan.com  www.NSE.com  www.BSE.com.  www.Moneycontrol.com  www.yahoofinance.com