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Managing Market Risk Under The Basel IV Framework
Copyright © 2016 CapitaLogic Limited
Chapter 8
Equity Risk
Management
Managing Market Risk Under The Basel IV Framework
The Presentation Slides
Website : https://sites.google.com/site/quanrisk
E-mail : quanrisk@gmail.com
Copyright © 2016 CapitaLogic Limited 2
Declaration
Copyright © 2016 CapitaLogic Limited.
All rights reserved. No part of this presentation file may be
reproduced, in any form or by any means, without written
permission from CapitaLogic Limited.
Authored by Dr. LAM Yat-fai (林日林日林日林日辉辉辉辉),
Principal, Structured Products Analytics, CapitaLogic Limited,
Adjunct Professor of Finance, City University of Hong Kong,
Doctor of Business Administration (Finance),
CFA, CAIA, FRM, PRM.
Copyright © 2016 CapitaLogic Limited 3
Equity investments
Equity risk identification
Equity risk measurement
Equity risk monitoring
Equity risk mitigation
Outline
Copyright © 2016 CapitaLogic Limited 4
Functional purposes
DividendIncome
Short to medium term
down trend of equity
price
Short to medium term
up trend of equity price
Speculation
Medium to longer term
up trend of equity price
Capital
appreciation
ShortLongPosition
Copyright © 2016 CapitaLogic Limited 5
Cash flows
- Dividend+ DividendInterim
- Equity price+ Equity priceClosing
+ Equity price- Equity priceEntering
ShortLongPosition
Copyright © 2016 CapitaLogic Limited 6
Valuation
Single equity portfolio
Single currency, multiple equity portfolio
International equity portfolio
M
k k
k=1
M
k k k
k=1
Value = Quantity × Equity price
Value = FX rate × Quantity × Equity price
Value = Quantity × FX rate × Equity price
∑
∑
Copyright © 2016 CapitaLogic Limited 7
Expected shortfall
Specification
At the end of a T-day holding period (10-day)
At the qth percentile confidence level (97.5th percentile)
Worst case value
The minimum potential portfolio value at the end of the holding period with
the lowest (1 - q%) situations excluded
Tail value
The average of potential portfolio values when the potential portfolio values
are below the worst case value
Expected value
The average of all potential portfolio values at the end of the holding period
Expected shortfall (“ES”)
The average of unexpected loss relative to the expected value during the
worst (1 - q%) situations
Tail value - Expected value
Copyright © 2016 CapitaLogic Limited 8
Expected shortfall at T-day
qth percentile confidence level
Value0
0
Worst case value
Expected value
Expected shortfall
1 - q%
q%
T days
ValueT
Tail value
Copyright © 2016 CapitaLogic Limited 9
Expected shortfall at 10-day
97.5th percentile confidence level
Value0
0
Worst case value
Expected value
Expected shortfall
2.5%
97.5%
10 days
ValueT
Tail value
Copyright © 2016 CapitaLogic Limited 10
Value-at-risk vs expected shortfall
NormSInv(1 - q%)
Percentile(Values,
1 - q%)
Worst case value
99th percentile
Value-at-risk
NormDist(Critical value,
0, 1, False) /(1 - q%)
Variance-covariance
method
AverageIF(Values <
Worst case value)
Historical simulation/
Monte Carlo simulation
Tail valueExtremity
97.5th percentileConfidence level (q)
Expected shortfall
Examples 8a
Copyright © 2016 CapitaLogic Limited 11
Variance-covariance method
Equity price in a normal distribution
Critical value
[ ]( )
( )
0S 1 + µT + σ T × Normal 0,1
NormSInv 1 - q%
Copyright © 2016 CapitaLogic Limited 12
Variance-covariance method
Tail equity price
Expected equity price
Expected shortfall
( )
( )
( )
0
0
0
NormDist CV,0,1,False
S 1 + µT + σ T × -
1 - q%
S 1 + µT
NormDist CV,0,1,False
- nS σ T ×
1 - q%
   
  
   
Copyright © 2016 CapitaLogic Limited 13
Expected shortfall under Basel IV
Adopted by Basel IV
To be implemented in 2019
Taking into account the loss beyond the worst
case value
Not a robust market risk measure
Very sensitive to data error in the tail area
Back testing methodology has not be well
developed
Copyright © 2016 CapitaLogic Limited 14
Equity investments
Equity risk identification
Equity risk measurement
Equity risk monitoring
Equity risk mitigation
Outline
Copyright © 2016 CapitaLogic Limited 15
International equity portfolio
A collection of investments
in many equities
listed on stock exchanges in different countries
denominated in different currencies
Copyright © 2016 CapitaLogic Limited 16
Historical equity prices
and equity index values
Yahoo finance
http://finance.yahoo.com
Google finance
https://www.google.com/finance
Stooq.com
http://stooq.com
Copyright © 2016 CapitaLogic Limited 17
Equity risk factors
for international equity portfolio
Equity risk
Value
Quantity
Holding period
dispersion
Equity price
Standard
deviation
Holding period
Diversification
effect
Concentration
of equities
% change
dependency
FX rate Examples 8b
Copyright © 2016 CapitaLogic Limited 18
Equity risk
Total equity risk
The risk of losses arising from movements in equity
prices
Systematic equity risk
The risk of losses arising from movements in equity index
levels
The majority of equity risk in a well diversified equity
portfolio
Specific equity risk
The equity risk not captured by the systematic equity risk
Minimize through diversification
Copyright © 2016 CapitaLogic Limited 19
Equity index portfolio
A collection of investments
in many well diversified equities
listed on the same stock exchange
subject to the same equity index
denominated in the same currency
Copyright © 2016 CapitaLogic Limited 20
Systematic equity risk
( ) ( )
Today
E
Yesterday
Today
I
Yesterday
E I
E I I E I
Equity price
µ = - 1 × 100%
Equity price
Index level
µ = - 1 × 100%
Index level
µ = βµ + α + Residual error
= Slope µ , µ × µ + Intercept µ , µ + Resi
 
  
 
 
  
 
I
dual error
Systematic % change = βµ
For each equity
Copyright © 2016 CapitaLogic Limited 21
Weighted average Beta
Value of index portfolio
Average % change of index portfolio
S.D. % change of index portfolio
Equity index risk
( )
( ) ( )
( ) ( )
M
k k k M
k=1
k kM
k=1
k k
k=1
T+1 T I
β n S
β = Value = n S
n S
Value = Value 1 + βµ
Average Index portfolio % changes = β × Average Index % changes
S.D. Index portfolio % changes = β × S.D. Index % changes
∑
∑
∑
Copyright © 2016 CapitaLogic Limited 22
Equity index risk factors
Equity index risk
Index portfolio value
Equity value
Holding period
dispersion
FX rate
Index standard
deviation
Beta
Holding period
Copyright © 2016 CapitaLogic Limited 23
Systematic equity risk factors
for international equity portfolio
Systematic
equity risk
Index portfolio
value
Equity value
Holding period
dispersion
FX rate
Standard
deviation
Beta
Diversification
effect
Concentration
of indices
% change
dependency
Holding period
Copyright © 2016 CapitaLogic Limited 24
Equity investments
Equity risk identification
Equity risk measurement
Equity risk monitoring
Equity risk mitigation
Outline
Copyright © 2016 CapitaLogic Limited 25
Expected shortfall methodologies
Historical simulation
Monte Carlo simulation
Variance-covariance method
Marginal expected shortfall
Component expected shortfall
Copyright © 2016 CapitaLogic Limited 26
Modelling equity index value
For each equity index
S0: Current index level
ST: Index value in T trading days
µT: T-day % change of index level
I0: Current index portfolio value
IT: Index portfolio value in T trading days
Copyright © 2016 CapitaLogic Limited 27
Multivariate historical simulation
For k = 1 to 500
For each index portfolio
Portfolio value in T-days
Value-at-risk
T
T
T
k
k
k
Worset case value = Percentile(All Value s, 1 - q%)
Tail value = AverageIf(Value < Worst case value)
Expected value = Average(All Value s)
ES = Tail value - Expected value
( )
T T
k
k k k
T T 0 Tk-T
k k
β
S
µ = - 1 I = I 1 + µ
S
Value = I∑
Example 8d.4
Example 8c.4
Copyright © 2016 CapitaLogic Limited 28
Modelling index portfolio value
For each equity index
S0: Current index level
ST: Index value in T trading days
µ: % change of index level
σ: Standard deviation of index level
T: Holding period
Normal[µ,σ]: A random number drawn from a normal distribution
with
Average = µ
Standard deviation = σ
= µ + σ × Normal[0,1]
I0: Current index portfolio value
IT: Index portfolio value in T trading days
Copyright © 2016 CapitaLogic Limited 29
Three index portfolios
Index portfolio 1
Index portfolio 2
Index portfolio 3
[ ]( )
[ ]( )
[ ]( )
1 T 1 0 1 1 1
12
2 T 2 0 2 2 2 31
23
3 T 3
1
0 3 3 3
1
2 2
3 3
β β
β β
I = I 1 + µ T + σ T × Normal 0,1
ρ
I = I 1 + µ T + σ T × Normal 0,1 ρ
ρ
I = I 1 + µ T + σ T × Norm 0β ,β al 1
↑
↓
↑
↓
Copyright © 2016 CapitaLogic Limited 30
Multivariate Monte Carlo simulation
For k = 1 to 1,000
For each index potfolio
Portfolio value
Expected shortfall
[ ]( )T
T T
k k
0
k k
I = I 1 + µT + σ T × MultiVarNormal 0,1
Value = I
β β
∑
T
T
T
k
k
k
Worset case value = Percentile(All Value s, 1 - q%)
Tail value = AverageIf(Value < Worst case value)
Expected value = Average(All Value s)
ES = Tail value - Expected value
Example 8d.5
Example 8c.5
Copyright © 2016 CapitaLogic Limited 31
Variance-covariance method
For each index portfolio
( )
( )
0
CV = NormSInv 1 - q%
NormDist CV,0,1,False
ES = - I βσ T ×
1 - q%
Example 8c.6
Copyright © 2016 CapitaLogic Limited 32
M index portfolios
[ ]
[ ]
[ ]( )
1 2 3 M
12 13 1M 1
21 2
31 3
M1 M
Q = ES ES ES ... ES
1 ρ ρ ... ρ ES
ρ 1 . ... . ES
CorrelMatrix = Tran
[Ctrl]-[Shift]-[En
spose Q =ρ . 1 ... . ES
: : : ... : :
ρ . . ... 1 ES
Λ = Sum Q × CorrelMatrix × Transpose Q
E
ter]
S
   
   
   
   
   
   
      
( )0
=
Expected value = Value 1+
- Λ
βµT∑ Example 8d.6
Copyright © 2016 CapitaLogic Limited 33
Component expected shortfall
For an index portfolio with value I
ES Plus
Portfolio ES with value I + 0.5
ES Minus
Portfolio ES with value I - 0.5
Marginal ES
ES Plus - ES Minus
Component ES
I × Marginal ES
The ES of individual index portfolio with the diversification
effect incorporated
Euler’s theorem
Portfolio ES = Component ES∑
Example 8b.7 Example 8d.7
Example 8b.8 Example 8d.8
Example 8b.9 Example 8d.9
Copyright © 2016 CapitaLogic Limited 34
Tips for Monet Carlo simulation
for component expected shortfall
Frozen random numbers
Select columns of random numbers
Home, Copy, Paste special, Values
Data table
Data, Data Tools, What-If Analysis, Data Table
Copyright © 2016 CapitaLogic Limited 35
Equity investments
Equity risk identification
Equity risk measurement
Equity risk monitoring
Equity risk mitigation
Outline
Copyright © 2016 CapitaLogic Limited 36
Equity risk monitoring
Systematic risk Specific risk from large exposures
Copyright © 2016 CapitaLogic Limited 37
Equity risk monitoring
FX rates monitoring
Equity indices monitoring
Large exposures monitoring
Diversification monitoring
Unrealized loss monitoring
Copyright © 2016 CapitaLogic Limited 38
Daily percentage changes
Early detection with % changes
What is today’s percentage change relative to the
most recent 500 trading days?
Emergency – extremities (+1%)
Warning – wing regions (+1% to +5%)
Attention – side regions (+5% to +10%)
Normal – middle region (-10% to 10%)
Applicable to
FX rates
Equity indices
Large exposures Example 8e.4
Copyright © 2016 CapitaLogic Limited 39
Daily percentage changes
80% = 400 days
Copyright © 2016 CapitaLogic Limited 40
Concentration of equity value
( )
M
2
k
k=1
2M
k
k=1
M
2
k k k
k=1
2M
k k k
k=1
Value
HHI =
Value
Quantity × FX rate × Equity price
=
Quantity × FX rate × Equity price
 
 
 
 
 
 
∑
∑
∑
∑
Example 8e.3
Copyright © 2016 CapitaLogic Limited 41
Unrealized loss monitoring
Portfolio value
Acquisition cost
Portfolio value at origination
Unrealized loss
Latest portfolio value - Acquisition cost
M
k k k
k=1
Value = Quantity × FX rate × Equity price∑
Example 8e.5
Copyright © 2016 CapitaLogic Limited 42
Equity investments
Equity risk identification
Equity risk measurement
Equity risk monitoring
Equity risk mitigation
Outline
Copyright © 2016 CapitaLogic Limited 43
Equity risk mitigation
Controlled by investor
Quantity ↓
Beta ↓
Holding period ↓
Concentration ↓
Re-balancing
Not controlled by investor
FX rate
Equity price
Standard deviation
% change dependency
Derivatives
Copyright © 2016 CapitaLogic Limited 44
Equity derivatives
Equity futures
A standardized equity forward with exchange as
counterparty
European equity options
Call and put which can be exercised at maturity
only
American equity options
Call and put which can be exercised at any time
on or before maturity
Copyright © 2016 CapitaLogic Limited 45
Equity index derivatives
Equity index futures
A standardized equity index forward with
exchange as counterparty
European equity index options
Call and put which can be exercised at maturity
only
Copyright © 2016 CapitaLogic Limited 46
Equity risk mitigation
Specific equity risk
Minimized through re-balancing
Equity index risk
Hedged with equity index derivatives
FX risk
Hedged with FX derivatives

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Mais de Quan Risk

Chapter 1 the fatf's initiatives on aml
Chapter 1   the fatf's initiatives on amlChapter 1   the fatf's initiatives on aml
Chapter 1 the fatf's initiatives on aml
Quan Risk
 
Chapter 10 control self-assessment
Chapter 10   control self-assessmentChapter 10   control self-assessment
Chapter 10 control self-assessment
Quan Risk
 
Chapter 9 private banking
Chapter 9   private bankingChapter 9   private banking
Chapter 9 private banking
Quan Risk
 
Chapter 8 career and professional development
Chapter 8   career and professional developmentChapter 8   career and professional development
Chapter 8 career and professional development
Quan Risk
 
Chapter 7 regulatory technology
Chapter 7   regulatory technologyChapter 7   regulatory technology
Chapter 7 regulatory technology
Quan Risk
 
Chapter 6 aml compliance programme
Chapter 6   aml compliance programmeChapter 6   aml compliance programme
Chapter 6 aml compliance programme
Quan Risk
 
Chapter 5 internal investigation
Chapter 5   internal investigationChapter 5   internal investigation
Chapter 5 internal investigation
Quan Risk
 
Chapter 4 supsicious transactions
Chapter 4   supsicious transactionsChapter 4   supsicious transactions
Chapter 4 supsicious transactions
Quan Risk
 
Chapter 3 know your customer
Chapter 3   know your customerChapter 3   know your customer
Chapter 3 know your customer
Quan Risk
 
Chapter 2 the regulatory framework of aml
Chapter 2   the regulatory framework of amlChapter 2   the regulatory framework of aml
Chapter 2 the regulatory framework of aml
Quan Risk
 
Chapter 6 career and professional development
Chapter 6   career and professional developmentChapter 6   career and professional development
Chapter 6 career and professional development
Quan Risk
 
Chapter 5 financial compliance programme
Chapter 5   financial compliance programmeChapter 5   financial compliance programme
Chapter 5 financial compliance programme
Quan Risk
 
Chapter 4 securities and futures regulations
Chapter 4   securities and futures regulationsChapter 4   securities and futures regulations
Chapter 4 securities and futures regulations
Quan Risk
 
Chapter 3 insurance regulations
Chapter 3   insurance regulationsChapter 3   insurance regulations
Chapter 3 insurance regulations
Quan Risk
 
Chapter 2 banking regulations
Chapter 2   banking regulationsChapter 2   banking regulations
Chapter 2 banking regulations
Quan Risk
 
Chapter 1 financial regulations in hong kong
Chapter 1   financial regulations in hong kongChapter 1   financial regulations in hong kong
Chapter 1 financial regulations in hong kong
Quan Risk
 
Chapter 10 aml technologies
Chapter 10   aml technologiesChapter 10   aml technologies
Chapter 10 aml technologies
Quan Risk
 
Chapter 9 anti-money laundering
Chapter 9   anti-money launderingChapter 9   anti-money laundering
Chapter 9 anti-money laundering
Quan Risk
 
Chapter 7 algo trading and back testing
Chapter 7   algo trading and back testingChapter 7   algo trading and back testing
Chapter 7 algo trading and back testing
Quan Risk
 
Chapter 6 corporate lending
Chapter 6   corporate lendingChapter 6   corporate lending
Chapter 6 corporate lending
Quan Risk
 

Mais de Quan Risk (20)

Chapter 1 the fatf's initiatives on aml
Chapter 1   the fatf's initiatives on amlChapter 1   the fatf's initiatives on aml
Chapter 1 the fatf's initiatives on aml
 
Chapter 10 control self-assessment
Chapter 10   control self-assessmentChapter 10   control self-assessment
Chapter 10 control self-assessment
 
Chapter 9 private banking
Chapter 9   private bankingChapter 9   private banking
Chapter 9 private banking
 
Chapter 8 career and professional development
Chapter 8   career and professional developmentChapter 8   career and professional development
Chapter 8 career and professional development
 
Chapter 7 regulatory technology
Chapter 7   regulatory technologyChapter 7   regulatory technology
Chapter 7 regulatory technology
 
Chapter 6 aml compliance programme
Chapter 6   aml compliance programmeChapter 6   aml compliance programme
Chapter 6 aml compliance programme
 
Chapter 5 internal investigation
Chapter 5   internal investigationChapter 5   internal investigation
Chapter 5 internal investigation
 
Chapter 4 supsicious transactions
Chapter 4   supsicious transactionsChapter 4   supsicious transactions
Chapter 4 supsicious transactions
 
Chapter 3 know your customer
Chapter 3   know your customerChapter 3   know your customer
Chapter 3 know your customer
 
Chapter 2 the regulatory framework of aml
Chapter 2   the regulatory framework of amlChapter 2   the regulatory framework of aml
Chapter 2 the regulatory framework of aml
 
Chapter 6 career and professional development
Chapter 6   career and professional developmentChapter 6   career and professional development
Chapter 6 career and professional development
 
Chapter 5 financial compliance programme
Chapter 5   financial compliance programmeChapter 5   financial compliance programme
Chapter 5 financial compliance programme
 
Chapter 4 securities and futures regulations
Chapter 4   securities and futures regulationsChapter 4   securities and futures regulations
Chapter 4 securities and futures regulations
 
Chapter 3 insurance regulations
Chapter 3   insurance regulationsChapter 3   insurance regulations
Chapter 3 insurance regulations
 
Chapter 2 banking regulations
Chapter 2   banking regulationsChapter 2   banking regulations
Chapter 2 banking regulations
 
Chapter 1 financial regulations in hong kong
Chapter 1   financial regulations in hong kongChapter 1   financial regulations in hong kong
Chapter 1 financial regulations in hong kong
 
Chapter 10 aml technologies
Chapter 10   aml technologiesChapter 10   aml technologies
Chapter 10 aml technologies
 
Chapter 9 anti-money laundering
Chapter 9   anti-money launderingChapter 9   anti-money laundering
Chapter 9 anti-money laundering
 
Chapter 7 algo trading and back testing
Chapter 7   algo trading and back testingChapter 7   algo trading and back testing
Chapter 7 algo trading and back testing
 
Chapter 6 corporate lending
Chapter 6   corporate lendingChapter 6   corporate lending
Chapter 6 corporate lending
 

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Chapter 8 equity risk management

  • 1. Managing Market Risk Under The Basel IV Framework Copyright © 2016 CapitaLogic Limited Chapter 8 Equity Risk Management Managing Market Risk Under The Basel IV Framework The Presentation Slides Website : https://sites.google.com/site/quanrisk E-mail : quanrisk@gmail.com
  • 2. Copyright © 2016 CapitaLogic Limited 2 Declaration Copyright © 2016 CapitaLogic Limited. All rights reserved. No part of this presentation file may be reproduced, in any form or by any means, without written permission from CapitaLogic Limited. Authored by Dr. LAM Yat-fai (林日林日林日林日辉辉辉辉), Principal, Structured Products Analytics, CapitaLogic Limited, Adjunct Professor of Finance, City University of Hong Kong, Doctor of Business Administration (Finance), CFA, CAIA, FRM, PRM.
  • 3. Copyright © 2016 CapitaLogic Limited 3 Equity investments Equity risk identification Equity risk measurement Equity risk monitoring Equity risk mitigation Outline
  • 4. Copyright © 2016 CapitaLogic Limited 4 Functional purposes DividendIncome Short to medium term down trend of equity price Short to medium term up trend of equity price Speculation Medium to longer term up trend of equity price Capital appreciation ShortLongPosition
  • 5. Copyright © 2016 CapitaLogic Limited 5 Cash flows - Dividend+ DividendInterim - Equity price+ Equity priceClosing + Equity price- Equity priceEntering ShortLongPosition
  • 6. Copyright © 2016 CapitaLogic Limited 6 Valuation Single equity portfolio Single currency, multiple equity portfolio International equity portfolio M k k k=1 M k k k k=1 Value = Quantity × Equity price Value = FX rate × Quantity × Equity price Value = Quantity × FX rate × Equity price ∑ ∑
  • 7. Copyright © 2016 CapitaLogic Limited 7 Expected shortfall Specification At the end of a T-day holding period (10-day) At the qth percentile confidence level (97.5th percentile) Worst case value The minimum potential portfolio value at the end of the holding period with the lowest (1 - q%) situations excluded Tail value The average of potential portfolio values when the potential portfolio values are below the worst case value Expected value The average of all potential portfolio values at the end of the holding period Expected shortfall (“ES”) The average of unexpected loss relative to the expected value during the worst (1 - q%) situations Tail value - Expected value
  • 8. Copyright © 2016 CapitaLogic Limited 8 Expected shortfall at T-day qth percentile confidence level Value0 0 Worst case value Expected value Expected shortfall 1 - q% q% T days ValueT Tail value
  • 9. Copyright © 2016 CapitaLogic Limited 9 Expected shortfall at 10-day 97.5th percentile confidence level Value0 0 Worst case value Expected value Expected shortfall 2.5% 97.5% 10 days ValueT Tail value
  • 10. Copyright © 2016 CapitaLogic Limited 10 Value-at-risk vs expected shortfall NormSInv(1 - q%) Percentile(Values, 1 - q%) Worst case value 99th percentile Value-at-risk NormDist(Critical value, 0, 1, False) /(1 - q%) Variance-covariance method AverageIF(Values < Worst case value) Historical simulation/ Monte Carlo simulation Tail valueExtremity 97.5th percentileConfidence level (q) Expected shortfall Examples 8a
  • 11. Copyright © 2016 CapitaLogic Limited 11 Variance-covariance method Equity price in a normal distribution Critical value [ ]( ) ( ) 0S 1 + µT + σ T × Normal 0,1 NormSInv 1 - q%
  • 12. Copyright © 2016 CapitaLogic Limited 12 Variance-covariance method Tail equity price Expected equity price Expected shortfall ( ) ( ) ( ) 0 0 0 NormDist CV,0,1,False S 1 + µT + σ T × - 1 - q% S 1 + µT NormDist CV,0,1,False - nS σ T × 1 - q%           
  • 13. Copyright © 2016 CapitaLogic Limited 13 Expected shortfall under Basel IV Adopted by Basel IV To be implemented in 2019 Taking into account the loss beyond the worst case value Not a robust market risk measure Very sensitive to data error in the tail area Back testing methodology has not be well developed
  • 14. Copyright © 2016 CapitaLogic Limited 14 Equity investments Equity risk identification Equity risk measurement Equity risk monitoring Equity risk mitigation Outline
  • 15. Copyright © 2016 CapitaLogic Limited 15 International equity portfolio A collection of investments in many equities listed on stock exchanges in different countries denominated in different currencies
  • 16. Copyright © 2016 CapitaLogic Limited 16 Historical equity prices and equity index values Yahoo finance http://finance.yahoo.com Google finance https://www.google.com/finance Stooq.com http://stooq.com
  • 17. Copyright © 2016 CapitaLogic Limited 17 Equity risk factors for international equity portfolio Equity risk Value Quantity Holding period dispersion Equity price Standard deviation Holding period Diversification effect Concentration of equities % change dependency FX rate Examples 8b
  • 18. Copyright © 2016 CapitaLogic Limited 18 Equity risk Total equity risk The risk of losses arising from movements in equity prices Systematic equity risk The risk of losses arising from movements in equity index levels The majority of equity risk in a well diversified equity portfolio Specific equity risk The equity risk not captured by the systematic equity risk Minimize through diversification
  • 19. Copyright © 2016 CapitaLogic Limited 19 Equity index portfolio A collection of investments in many well diversified equities listed on the same stock exchange subject to the same equity index denominated in the same currency
  • 20. Copyright © 2016 CapitaLogic Limited 20 Systematic equity risk ( ) ( ) Today E Yesterday Today I Yesterday E I E I I E I Equity price µ = - 1 × 100% Equity price Index level µ = - 1 × 100% Index level µ = βµ + α + Residual error = Slope µ , µ × µ + Intercept µ , µ + Resi               I dual error Systematic % change = βµ For each equity
  • 21. Copyright © 2016 CapitaLogic Limited 21 Weighted average Beta Value of index portfolio Average % change of index portfolio S.D. % change of index portfolio Equity index risk ( ) ( ) ( ) ( ) ( ) M k k k M k=1 k kM k=1 k k k=1 T+1 T I β n S β = Value = n S n S Value = Value 1 + βµ Average Index portfolio % changes = β × Average Index % changes S.D. Index portfolio % changes = β × S.D. Index % changes ∑ ∑ ∑
  • 22. Copyright © 2016 CapitaLogic Limited 22 Equity index risk factors Equity index risk Index portfolio value Equity value Holding period dispersion FX rate Index standard deviation Beta Holding period
  • 23. Copyright © 2016 CapitaLogic Limited 23 Systematic equity risk factors for international equity portfolio Systematic equity risk Index portfolio value Equity value Holding period dispersion FX rate Standard deviation Beta Diversification effect Concentration of indices % change dependency Holding period
  • 24. Copyright © 2016 CapitaLogic Limited 24 Equity investments Equity risk identification Equity risk measurement Equity risk monitoring Equity risk mitigation Outline
  • 25. Copyright © 2016 CapitaLogic Limited 25 Expected shortfall methodologies Historical simulation Monte Carlo simulation Variance-covariance method Marginal expected shortfall Component expected shortfall
  • 26. Copyright © 2016 CapitaLogic Limited 26 Modelling equity index value For each equity index S0: Current index level ST: Index value in T trading days µT: T-day % change of index level I0: Current index portfolio value IT: Index portfolio value in T trading days
  • 27. Copyright © 2016 CapitaLogic Limited 27 Multivariate historical simulation For k = 1 to 500 For each index portfolio Portfolio value in T-days Value-at-risk T T T k k k Worset case value = Percentile(All Value s, 1 - q%) Tail value = AverageIf(Value < Worst case value) Expected value = Average(All Value s) ES = Tail value - Expected value ( ) T T k k k k T T 0 Tk-T k k β S µ = - 1 I = I 1 + µ S Value = I∑ Example 8d.4 Example 8c.4
  • 28. Copyright © 2016 CapitaLogic Limited 28 Modelling index portfolio value For each equity index S0: Current index level ST: Index value in T trading days µ: % change of index level σ: Standard deviation of index level T: Holding period Normal[µ,σ]: A random number drawn from a normal distribution with Average = µ Standard deviation = σ = µ + σ × Normal[0,1] I0: Current index portfolio value IT: Index portfolio value in T trading days
  • 29. Copyright © 2016 CapitaLogic Limited 29 Three index portfolios Index portfolio 1 Index portfolio 2 Index portfolio 3 [ ]( ) [ ]( ) [ ]( ) 1 T 1 0 1 1 1 12 2 T 2 0 2 2 2 31 23 3 T 3 1 0 3 3 3 1 2 2 3 3 β β β β I = I 1 + µ T + σ T × Normal 0,1 ρ I = I 1 + µ T + σ T × Normal 0,1 ρ ρ I = I 1 + µ T + σ T × Norm 0β ,β al 1 ↑ ↓ ↑ ↓
  • 30. Copyright © 2016 CapitaLogic Limited 30 Multivariate Monte Carlo simulation For k = 1 to 1,000 For each index potfolio Portfolio value Expected shortfall [ ]( )T T T k k 0 k k I = I 1 + µT + σ T × MultiVarNormal 0,1 Value = I β β ∑ T T T k k k Worset case value = Percentile(All Value s, 1 - q%) Tail value = AverageIf(Value < Worst case value) Expected value = Average(All Value s) ES = Tail value - Expected value Example 8d.5 Example 8c.5
  • 31. Copyright © 2016 CapitaLogic Limited 31 Variance-covariance method For each index portfolio ( ) ( ) 0 CV = NormSInv 1 - q% NormDist CV,0,1,False ES = - I βσ T × 1 - q% Example 8c.6
  • 32. Copyright © 2016 CapitaLogic Limited 32 M index portfolios [ ] [ ] [ ]( ) 1 2 3 M 12 13 1M 1 21 2 31 3 M1 M Q = ES ES ES ... ES 1 ρ ρ ... ρ ES ρ 1 . ... . ES CorrelMatrix = Tran [Ctrl]-[Shift]-[En spose Q =ρ . 1 ... . ES : : : ... : : ρ . . ... 1 ES Λ = Sum Q × CorrelMatrix × Transpose Q E ter] S                                ( )0 = Expected value = Value 1+ - Λ βµT∑ Example 8d.6
  • 33. Copyright © 2016 CapitaLogic Limited 33 Component expected shortfall For an index portfolio with value I ES Plus Portfolio ES with value I + 0.5 ES Minus Portfolio ES with value I - 0.5 Marginal ES ES Plus - ES Minus Component ES I × Marginal ES The ES of individual index portfolio with the diversification effect incorporated Euler’s theorem Portfolio ES = Component ES∑ Example 8b.7 Example 8d.7 Example 8b.8 Example 8d.8 Example 8b.9 Example 8d.9
  • 34. Copyright © 2016 CapitaLogic Limited 34 Tips for Monet Carlo simulation for component expected shortfall Frozen random numbers Select columns of random numbers Home, Copy, Paste special, Values Data table Data, Data Tools, What-If Analysis, Data Table
  • 35. Copyright © 2016 CapitaLogic Limited 35 Equity investments Equity risk identification Equity risk measurement Equity risk monitoring Equity risk mitigation Outline
  • 36. Copyright © 2016 CapitaLogic Limited 36 Equity risk monitoring Systematic risk Specific risk from large exposures
  • 37. Copyright © 2016 CapitaLogic Limited 37 Equity risk monitoring FX rates monitoring Equity indices monitoring Large exposures monitoring Diversification monitoring Unrealized loss monitoring
  • 38. Copyright © 2016 CapitaLogic Limited 38 Daily percentage changes Early detection with % changes What is today’s percentage change relative to the most recent 500 trading days? Emergency – extremities (+1%) Warning – wing regions (+1% to +5%) Attention – side regions (+5% to +10%) Normal – middle region (-10% to 10%) Applicable to FX rates Equity indices Large exposures Example 8e.4
  • 39. Copyright © 2016 CapitaLogic Limited 39 Daily percentage changes 80% = 400 days
  • 40. Copyright © 2016 CapitaLogic Limited 40 Concentration of equity value ( ) M 2 k k=1 2M k k=1 M 2 k k k k=1 2M k k k k=1 Value HHI = Value Quantity × FX rate × Equity price = Quantity × FX rate × Equity price             ∑ ∑ ∑ ∑ Example 8e.3
  • 41. Copyright © 2016 CapitaLogic Limited 41 Unrealized loss monitoring Portfolio value Acquisition cost Portfolio value at origination Unrealized loss Latest portfolio value - Acquisition cost M k k k k=1 Value = Quantity × FX rate × Equity price∑ Example 8e.5
  • 42. Copyright © 2016 CapitaLogic Limited 42 Equity investments Equity risk identification Equity risk measurement Equity risk monitoring Equity risk mitigation Outline
  • 43. Copyright © 2016 CapitaLogic Limited 43 Equity risk mitigation Controlled by investor Quantity ↓ Beta ↓ Holding period ↓ Concentration ↓ Re-balancing Not controlled by investor FX rate Equity price Standard deviation % change dependency Derivatives
  • 44. Copyright © 2016 CapitaLogic Limited 44 Equity derivatives Equity futures A standardized equity forward with exchange as counterparty European equity options Call and put which can be exercised at maturity only American equity options Call and put which can be exercised at any time on or before maturity
  • 45. Copyright © 2016 CapitaLogic Limited 45 Equity index derivatives Equity index futures A standardized equity index forward with exchange as counterparty European equity index options Call and put which can be exercised at maturity only
  • 46. Copyright © 2016 CapitaLogic Limited 46 Equity risk mitigation Specific equity risk Minimized through re-balancing Equity index risk Hedged with equity index derivatives FX risk Hedged with FX derivatives