This is a data driven investigation on whether the 2007 - 2009 financial crisis was at all oil related or was it mainly housing related. As you will soon find out, it was mainly housing related. Oil had nothing to do with it.
Marketing Sustainability to Businesses: Strategies & Tactics for Influencing ...Mike Walker
Objective: Share practical lessons for marketing energy efficiency and
sustainability initiatives to enterprises
Overview:
1. Common mistakes we make when trying to "sell" sustainability
2. Behavioral science on motivating action
State of the Economy: What happened and when will it come to an end? Christop...ECPA Events
Last year even as the US was already in a recession not only were forecasters saying we weren't in a downturn, they were predicting that the economy would be moving strongly forward by the beginning of 2009.
Marketing Sustainability to Businesses: Strategies & Tactics for Influencing ...Mike Walker
Objective: Share practical lessons for marketing energy efficiency and
sustainability initiatives to enterprises
Overview:
1. Common mistakes we make when trying to "sell" sustainability
2. Behavioral science on motivating action
State of the Economy: What happened and when will it come to an end? Christop...ECPA Events
Last year even as the US was already in a recession not only were forecasters saying we weren't in a downturn, they were predicting that the economy would be moving strongly forward by the beginning of 2009.
The Automotive Industry Consumer LanscapeLevelwing
This Automotive Industry Insights paper provides a high level overview of the US Automotive Consumer Landscape. Featured insights include search demand for automotive parts and services, trends in vehicle ownership and use, research habits of consumers and the role of mobile devices in research and purchase. Visit additional insights and case studies from Levelwing: http://ow.ly/dM4KF
This presentation covers the application of Big Data principles in Customer Experience Management. I present data models to help companies integrate, organize and analyze their disparate data sources (e.g., operational, financial, constituency and customer feedback) to improve the customer experience and customer loyalty.
Tim Pulido, President & CEO with 30 years of restaurant industry experience, presents his outlook for 2012 and the brand strategies necessary to win in the New Normal.
2013 NAR Issues Conference Economists' Panel (February 2013)Nar Res
For those interested in NAR Chief Economist Lawrence Yun’s conversation with Christina Romer and Gregory Mankiw at the 2013 NAR Issues Conference, here is the PPT that was used.
Gold Wars are between governments and gold. This ultimately
restricts the constitutional rights of the people.
Gold is the vital barometer of the health of a nation’s currency.
The suppression of gold by government allows them to mask
the mismanagement of their currency.
Jenny Rebholz and I love talking to, motivating and helping all higher education students. But naturally, we are most passionate about helping interior design graduates succeed in their professional careers. That's why we make time to talk to last year design students about the importance of establishing their Personal Brand.
Discussing the state of industry, the changes the industry has gone through and is still undergoing, and how it all influences the profession of interior design, job opportunities and long-term career goals for young professionals.
The Automotive Industry Consumer LanscapeLevelwing
This Automotive Industry Insights paper provides a high level overview of the US Automotive Consumer Landscape. Featured insights include search demand for automotive parts and services, trends in vehicle ownership and use, research habits of consumers and the role of mobile devices in research and purchase. Visit additional insights and case studies from Levelwing: http://ow.ly/dM4KF
This presentation covers the application of Big Data principles in Customer Experience Management. I present data models to help companies integrate, organize and analyze their disparate data sources (e.g., operational, financial, constituency and customer feedback) to improve the customer experience and customer loyalty.
Tim Pulido, President & CEO with 30 years of restaurant industry experience, presents his outlook for 2012 and the brand strategies necessary to win in the New Normal.
2013 NAR Issues Conference Economists' Panel (February 2013)Nar Res
For those interested in NAR Chief Economist Lawrence Yun’s conversation with Christina Romer and Gregory Mankiw at the 2013 NAR Issues Conference, here is the PPT that was used.
Gold Wars are between governments and gold. This ultimately
restricts the constitutional rights of the people.
Gold is the vital barometer of the health of a nation’s currency.
The suppression of gold by government allows them to mask
the mismanagement of their currency.
Jenny Rebholz and I love talking to, motivating and helping all higher education students. But naturally, we are most passionate about helping interior design graduates succeed in their professional careers. That's why we make time to talk to last year design students about the importance of establishing their Personal Brand.
Discussing the state of industry, the changes the industry has gone through and is still undergoing, and how it all influences the profession of interior design, job opportunities and long-term career goals for young professionals.
Sacramento's population projections for the State of California are already 1.4 million too high only 3 years into the forecast by 2023. The reason is Sacramento's unrealistic migration assumption. This analysis tests in detail how and why this projection went so wrong.
This study analyzes the temperature history of 24 American cities going back to 1895. Using a LOESS model, it forecasts prospective temperature increases over the next 40 years and out to 2100. And, it compares the 2100 forecast with the NOAA model(s). This comparison uncovers serious deficiencies within the NOAA model(s), as it does not fit the historical data well; and it does not differentiate much forecasts between various cities.
Compact Letter Display (CLD). How it worksGaetan Lion
Compact Letter Display (CLD) renders ANOVA & Tukey HSD testing a lot easier to interpret. It readily ranks and differentiate the tested variables. With CLD you can readily identify the variables that are statistically dissimilar vs. the ones that are similar.
This study compares the benefits and the funding for CalPERS pensions vs. Social Security. It also looks in more detail on the financial burden of CalPERS pensions on the Marin Municipal Water District.
This presentation includes two explanatory models to attempt to predict recessions. The first one is a logistic regression. The second one is a deep neural network (DNN). Both use the same set of independent variables: the velocity of money, inflation, the yield curve, and the stock market. As usual, the DNN fits the historical data a bit better than the simpler logistic regression. But, when it comes to testing or predicting, both models are pretty much even.
Objective:
Studying trends in US inequality along several social dimensions including education, ethnicity, percentiles, and work status. We don’t explore gender because it is not disaggregated within the mentioned data that focuses on families (fairly similar to households).
Data source:
US Government Survey of Consumer Finance (SCF) data. The SCF aggregates financial data on US families every three years. And, it discloses a time series from 1989 to 2019.
The model development two objectives are:
1) To explain home prices using demographic explanatory variables; and
2) To benchmark the accuracy of OLS regressions vs. DNN models.
For home prices, we used county level data from Zillow. For the explanatory variables, we used data from GEOFRED.
This analysis focuses on population aging, population age categories in % (age pyramids), and overall population growth. It looks at various geographic units (countries, continents, regions, World) from 1950 to the Present (2019 & 2020). And, it looks at projections out to 2100.
Africa is an outlier to the overall global aging; its population growth (historical & projected) is far faster than for other major regions.
We are going to analyze several of the major cryptocurrencies as an asset class. And, we are going to address several related questions:
Do they provide diversification benefits relative to the stock market (S&P 500)?
How do their diversification benefits compare with Gold’s diversification benefit vs. the stock market?
Do cryptocurrencies provide diversification benefits when you really need it… during market downturns?
Are cryptocurrencies truly “digital Gold”? Do they behave in a similar way given that their supply is constrained (supposedly in a similar way as Gold is)?
We will test whether :
a) Sequential Deep Neural Networks (DNNs) can predict the stock market (S&P 500) better than OLS regression;
b) DNNs using smooth Rectified Linear activation functions perform better than the ones using Sigmoid (Logit) activation functions.
Can Treasury Inflation Protected Securities predict Inflation?Gaetan Lion
We look at the spread between Treasuries and TIPS to figure out how effective such observations were in predicting actual inflation several years down the road.
This analysis focuses on measures much beyond PE ratios. And, it concludes that the Stock Market is actually really cheap vs. bonds. But, it appears quite overvalued when focusing on inflation measures.
The relationship between the Stock Market and Interest RatesGaetan Lion
This is a study of the relationship between the Stock Market and Interest Rates. We review how the Stock Market has reacted when interest rates rise. We also factor the influence of other macroeconomics variables.
This is a study using historical data and forecasts of life expectancy for several countries. The data and forecasts come from the UN - Population Division. While the historical data is most interesting, the forecasts are highly optimistic as they project a linear trend way into the future. Meanwhile, those forecasts should have followed a much more realistic logarithmic curve reflecting slower increase in life expectancy as the life expectancy rises.
Will Stock Markets survive in 200 years?Gaetan Lion
This study uncovers 11 international stock markets that are already running into existing and prospective demographic and economic growth constraints. This study evaluates their respective fragile long term viability and the implications this has for the investors in such countries.
This study answers three questions:
1) Does it make a difference whether you standardize your variables before running your model or standardize the regression coefficients after you run your model?
2) Does the scale of the respective original non-standardized variables affect the resulting standardized coefficients?
3) Does using non-standardized variables vs. standardized variables have an impact when conducting regularization (Ridge Regression, LASSO)?
This analysis compares his track record vs. Manning, Montana, Marino, Brees, Favre, and Elway. At the end of this analysis, it makes extensive use of the binomial distribution to figure out how much of their respective track records are due to randomness vs. skills.
Regularization why you should avoid themGaetan Lion
Regularization models are supposed to reduce model over-fitting and improve forecasting accuracy. Very often they do just the opposite: increase model under-fitting, and decrease model forecasting accuracy. This study explains how Regularization models often fail, and how to resolve model issues with far simpler and more robust methods.
This study reviews the increasing prevalence of 3-shot points within the NBA. It also compares the record of the 5 top players in NBA history in 3-pt shots. It also considers how many good years left Curry may have.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Was 2007 - 2009 a housing crisis or an oil crisis?
1. Was 2007 – 2009 a Housing
crisis or an Oil crisis?
Gaetan Lion
July 11, 2012
1
2. Kunstler believes the recent housing-
financial crisis was really an oil crisis
James Kunstler, the author of
“Too Much Magic”, is one of the
main advocates of this view.
2
3. The Data suggests otherwise…
Home price vs Oil price. Standardized variables
4.00
Home price
3.00 Oil price
2.00
1.00
0.00
-1.00
-2.00
Jan-89
Jan-96
Jan-03
Jan-07
Jan-87
Jan-88
Jan-90
Jan-91
Jan-92
Jan-93
Jan-94
Jan-95
Jan-97
Jan-98
Jan-99
Jan-00
Jan-01
Jan-02
Jan-04
Jan-05
Jan-06
Jan-08
Jan-09
Jan-10
Jan-11
Jan-12
Using a Case Shiller monthly home price series (for 10 major MSAs) going
back to 1987, and using oil prices from the EIA over the same period; we
observe that home prices peaked in July 2006 or a full two years before oil
prices peaked in July 2008. When oil prices crashed from July 2008 to
February 2009, home prices continued crashing too. That’s the opposite
3
direction of what Kunstler and other Peak Oil advocates suggest.
4. Home Price vs Oil Price Scatter Plot
Home Price vs Oil price. Standardized variables
2.50
Home price. Standardized unit
2.00
1.50
1.00
0.50
0.00
-0.50
-1.00
-1.50
-1.50 -1.00 -0.50 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00
Oil price. Standardized unit
The scatter plot shows that when oil prices are low, they have a
positive relationship with oil prices (opposite of Peak oil expectations).
When oil prices are high, they have essentially no relationship with
home prices (also not supporting Kunstler’s opinion). 4
5. Home Price change vs Oil Price change
Home Price vs Oil price. 12 mth change
200%
150%
12 mth Oil price change
100%
50%
0%
-50%
-100%
-25% -20% -15% -10% -5% 0% 5% 10% 15% 20% 25%
12 mth Home price change
The scatter plot focuses on 12 mth change in such prices.
And, the result is essentially random. Focusing on other
change interval (1 mth, 3 mth, 6 mth) generates very similar
randomness. 5
7. Was the 2007 – 2009 Crisis a Housing
Crisis or an Oil Crisis?
Correlation Matrix
R. GDP gr. H. price chg. Oil price chg.
Real GDP growth 1
H. price chg. 0.58 1
Oil price chg. 0.44 0.00 1
This correlation matrix uses the data on the previous slide. Notice
that over this crisis and post crisis period, the correlation between oil
price change and home price change is zero (no relationship
whatsoever). The correlation between oil price change and real GDP
growth is positive (0.44). That is the wrong sign than what Kunstler
and other Peak Oil advocates have in mind. Finally, the relationship
between home price change and real GDP growth is the strongest
and directionally makes sense. This confirms the financial crisis was
strongly housing related. And, it was not oil related (correlation is off
wrong sign.)
7