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Risk Management
University of Economics, Kraków, 2012
              Tomasz Aleksandrowicz
market risk management

   techniques: hedging & diversification
measuring market risk: value at risk (VaR)
derivatives summary matrix
hedging
hedging
• investment position intended to offset potential losses
Hedgeing (I)

   transaction to reduce or eliminate an exposure to risk
•    an investment position intended to offset potential losses of
     other investment
•    the idea is to protects assets against unfavourable movements
     in value of the underlying asset
•    hedging on stock, industry, market, country level
•    hedging is wiedly using derivatives


                                                                 6
Hedgeing (II)

• crucial element is negative correlation of assets
• financial instruments bought as a hedge transfer risk to
  different party
• tend to has opposite-value movements to the underlying
• It can reduce the variability of the asset value changes / cash
  flow




                                                                    7
Hedging tools / methods

•   short selling
•   options
•   features/forwards
•   swaps
•   other derivatives




                          8
Short selling
• long position vs short position
• short selling is selling of borrowed assets
• profit is difference between price at borrow date and price of
  re-purchase
• short selling is widely treated as speculative technique
• short selling is regulated by financial regulators




                                                                   9
stock price hedgeing
• Two companies from same industry as trader is interested in
  Asset A and want to hedge industry risk
• Day1: trader creates a portfolio
   – Asset A price: $5, position of 100 = $5000
   – Asset B price: $10, short position of 50 = $5000




                                                                10
stock price hedgeing
• Two companies from same industry as trader is interested in
  Asset A and want to hedge industry risk
• Day1: trader creates a portfolio
   – Asset A price: $5, position of 100 = $5000
   – Asset B price: $10, short position of 50 = $5000
• Day 2: industry good news
   – Asset A price: $6, value $6000, profit $1000
   – Asset B price: $12, value $5500, loss $600




                                                                11
stock price hedgeing
• Two companies from same industry as trader is interested in
  Asset A and want to hedge industry risk
• Day1: trader creates a portfolio
   – Asset A price: $5, position of 100 = $5000
   – Asset B price: $10, short position of 50 = $5000
• Day 2: industry good news
   – Asset A price: $6, value $6000, profit $1000
   – Asset B price: $12, value $5500, loss $600
• Day3: industry crash
   – Asset A price: $3, value $3000, loss $2000
   – Asset B price: $6, value $3000, profit $2000
                                                                12
hedging issues


• usual high brokerage fees and commissions
• complexity of the derivatives – risk of misunderstanding or
  misconduct
• complexities associated with the tax and accounting
  consequences
• combined with leverage is so-called ‘weapon of mass
  destruction



                                                                13
hedging
diversification
modern portfolio theory

• portfolio - collection of securities that together
  provide an investor with an attractive trade-off
  between risk and return

• portfolio theory - concept of making security choices
  based on portfolio expected returns and risks (risk-
  return trade-off)

                                                       16
portfolio creation process




                             17
portfolio types
• market portfolio – all tradable assets on market
• main index portfolio – all main index assets
• efficient portfolio – portfolio with:
   – maximum expected return for a given level of risk
   – minimum risk for a given expected return
• optimal portfolio – collection of securities that
  provides an investor with the highest level of
  expected return
• zero-risk portfolio - constant return portfolio
                                                         18
diversification (I)
• diversification means reducing risk by investing in a
  variety of assets
• it means: don't put all your eggs in one basket
• diversified portfolio will have less risk than the
  weighted average risk of its elements
• often less risk than the least risky of its parts
• crucial element is selection of assets with low
  correlation
• correlation values:[-1,1]
                                                          19
two assets portfolio




                       20
two assets portfolio




                       21
divrsification (II)
• specific risk and systematic risk
• individual, specific securities are much more risky
  than the market
• specific risk can be lowered by diversification
• systematic risk is a limit for diversification efficiency –
  can not be eliminated by diversification



                                                            22
Diversification (III)




                        23
Asset specific risk – variance / sd
• specicfic risk could be measured by variance and standard
  deviation of the asset
• sd and var how far a set of numbers are spread out from each
  other (from mean/expected value)
• variance:




• standard deviation (sq root ov variance):

                                                             24
Assets historical return and sd

Based on annual returns from 1926-2004

                    Avg. Return          SD
Small Stocks        17.5%                33.1%
Large Co. Stocks    12.4%                20.3%
L-T Corp Bonds      6.2%                 8.6%
L-T Govt. Bonds     5.8%                 9.3%
U.S. T-Bills        3.8%                 3.1%
                                                 25
Asset systematic risk - beta factor

• systematic risk can be measured as the sensitivity of a stock’s return to
  fluctuations in returns on the market portfolio
• the systematic risk is measured by the beta coefficient, or β.
• variation in asset/portfolio return depends on return of market portfolio




                           % change in asset return
         b=               % change in market return
                                                                              26
Beta Factor Interpretation
• if b = 0
   – asset is risk free
• if b = 1
   – asset return = market return
• if b > 1
   – asset is riskier than market index
 if b < 1
   – asset is less risky than market index
                                             27
Beta Factor Sample (5 yr)

Stock                 Beta
Amazon                3.30
DellComputer          2.14
GE                    1.18
Ford                  1.05
Delta Airlines        1.00
PepsiCo               .67
McDonald's            .66
Pfizer                .57
ExxonMobil            .41
H.J.Heinz             .31

                             28
measuring risk: value at risk
VaR (I)
• Market risk not much in Basel II scope
• VaR (Value-at-Risk) – standard market risk method
• In its simplest form: market VAR takes the banks’s market risks
  and estimates how much they might lose over a given time
  period
• Example: if bank has a one-day, 99% VaR of $50 million, then
  99 days out of 100 it should not expect to lose more than $50
  million.



                                                                31
VaR (II)
• The volatility of the underlying asset
   – e.g. equity or bond price, currency rate
• A matrix of correlations
   – e.g. the historical price relationships between equities, interest rates,
     currencies, credit spreads, and so on);
• A liquidation period
   – e.g. one day, one week, one month or however long a firm thinks it
     will take to unwind or neutralize its risk
• A statistical confidence level
   – e.g. 95% or 99%

                                                                                 32
VaR problems
• VAR does not tell how big the loss might be on the 100th day
• it is based on historical correlations which can break down in
  times of market stress,
• it is based on statistical assumptions (which may or may not
  become true)
• VAR can really only be used for marked-to-market portfolios
  (revalued every day)




                                                                   33
Rm 8

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Rm 8

  • 1. Risk Management University of Economics, Kraków, 2012 Tomasz Aleksandrowicz
  • 2. market risk management techniques: hedging & diversification measuring market risk: value at risk (VaR)
  • 5. hedging • investment position intended to offset potential losses
  • 6. Hedgeing (I)  transaction to reduce or eliminate an exposure to risk • an investment position intended to offset potential losses of other investment • the idea is to protects assets against unfavourable movements in value of the underlying asset • hedging on stock, industry, market, country level • hedging is wiedly using derivatives 6
  • 7. Hedgeing (II) • crucial element is negative correlation of assets • financial instruments bought as a hedge transfer risk to different party • tend to has opposite-value movements to the underlying • It can reduce the variability of the asset value changes / cash flow 7
  • 8. Hedging tools / methods • short selling • options • features/forwards • swaps • other derivatives 8
  • 9. Short selling • long position vs short position • short selling is selling of borrowed assets • profit is difference between price at borrow date and price of re-purchase • short selling is widely treated as speculative technique • short selling is regulated by financial regulators 9
  • 10. stock price hedgeing • Two companies from same industry as trader is interested in Asset A and want to hedge industry risk • Day1: trader creates a portfolio – Asset A price: $5, position of 100 = $5000 – Asset B price: $10, short position of 50 = $5000 10
  • 11. stock price hedgeing • Two companies from same industry as trader is interested in Asset A and want to hedge industry risk • Day1: trader creates a portfolio – Asset A price: $5, position of 100 = $5000 – Asset B price: $10, short position of 50 = $5000 • Day 2: industry good news – Asset A price: $6, value $6000, profit $1000 – Asset B price: $12, value $5500, loss $600 11
  • 12. stock price hedgeing • Two companies from same industry as trader is interested in Asset A and want to hedge industry risk • Day1: trader creates a portfolio – Asset A price: $5, position of 100 = $5000 – Asset B price: $10, short position of 50 = $5000 • Day 2: industry good news – Asset A price: $6, value $6000, profit $1000 – Asset B price: $12, value $5500, loss $600 • Day3: industry crash – Asset A price: $3, value $3000, loss $2000 – Asset B price: $6, value $3000, profit $2000 12
  • 13. hedging issues • usual high brokerage fees and commissions • complexity of the derivatives – risk of misunderstanding or misconduct • complexities associated with the tax and accounting consequences • combined with leverage is so-called ‘weapon of mass destruction 13
  • 16. modern portfolio theory • portfolio - collection of securities that together provide an investor with an attractive trade-off between risk and return • portfolio theory - concept of making security choices based on portfolio expected returns and risks (risk- return trade-off) 16
  • 18. portfolio types • market portfolio – all tradable assets on market • main index portfolio – all main index assets • efficient portfolio – portfolio with: – maximum expected return for a given level of risk – minimum risk for a given expected return • optimal portfolio – collection of securities that provides an investor with the highest level of expected return • zero-risk portfolio - constant return portfolio 18
  • 19. diversification (I) • diversification means reducing risk by investing in a variety of assets • it means: don't put all your eggs in one basket • diversified portfolio will have less risk than the weighted average risk of its elements • often less risk than the least risky of its parts • crucial element is selection of assets with low correlation • correlation values:[-1,1] 19
  • 22. divrsification (II) • specific risk and systematic risk • individual, specific securities are much more risky than the market • specific risk can be lowered by diversification • systematic risk is a limit for diversification efficiency – can not be eliminated by diversification 22
  • 24. Asset specific risk – variance / sd • specicfic risk could be measured by variance and standard deviation of the asset • sd and var how far a set of numbers are spread out from each other (from mean/expected value) • variance: • standard deviation (sq root ov variance): 24
  • 25. Assets historical return and sd Based on annual returns from 1926-2004 Avg. Return SD Small Stocks 17.5% 33.1% Large Co. Stocks 12.4% 20.3% L-T Corp Bonds 6.2% 8.6% L-T Govt. Bonds 5.8% 9.3% U.S. T-Bills 3.8% 3.1% 25
  • 26. Asset systematic risk - beta factor • systematic risk can be measured as the sensitivity of a stock’s return to fluctuations in returns on the market portfolio • the systematic risk is measured by the beta coefficient, or β. • variation in asset/portfolio return depends on return of market portfolio % change in asset return b= % change in market return 26
  • 27. Beta Factor Interpretation • if b = 0 – asset is risk free • if b = 1 – asset return = market return • if b > 1 – asset is riskier than market index  if b < 1 – asset is less risky than market index 27
  • 28. Beta Factor Sample (5 yr) Stock Beta Amazon 3.30 DellComputer 2.14 GE 1.18 Ford 1.05 Delta Airlines 1.00 PepsiCo .67 McDonald's .66 Pfizer .57 ExxonMobil .41 H.J.Heinz .31 28
  • 29.
  • 31. VaR (I) • Market risk not much in Basel II scope • VaR (Value-at-Risk) – standard market risk method • In its simplest form: market VAR takes the banks’s market risks and estimates how much they might lose over a given time period • Example: if bank has a one-day, 99% VaR of $50 million, then 99 days out of 100 it should not expect to lose more than $50 million. 31
  • 32. VaR (II) • The volatility of the underlying asset – e.g. equity or bond price, currency rate • A matrix of correlations – e.g. the historical price relationships between equities, interest rates, currencies, credit spreads, and so on); • A liquidation period – e.g. one day, one week, one month or however long a firm thinks it will take to unwind or neutralize its risk • A statistical confidence level – e.g. 95% or 99% 32
  • 33. VaR problems • VAR does not tell how big the loss might be on the 100th day • it is based on historical correlations which can break down in times of market stress, • it is based on statistical assumptions (which may or may not become true) • VAR can really only be used for marked-to-market portfolios (revalued every day) 33