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

measuring market risk – value at risk (VaR)
measuring risk: value at risk
value at risk (VaR) (I)
• VAR is the maximum loss over a target horizon
   such that there is a low, pre-specified probability
     that the actual loss will be larger
• the answer to: 'How much money might I lose?‘
• provides an estimate of the riskiness of a portfolio
  based on statistical methodology to quantify
  potential financial loss
value at risk (VaR) (II)
• the most commonly used measure of market risk
• useful because of its ability to distill a great deal of
  information into a single number
• based on probabilities and within parameters set by
  the risk manager
• based on one of several different methods
value at risk (VaR) (III)
• creates a distribution of potential outcomes at a
  specified confidence interval
• confidence intervals are typically 95, 97.5, or 99
  percent
• time horizon might be 1 or more days
• largest loss outcome using the confidence level as
  the cut-off is the amount reported as value-at risk
• an example using historical data method:
portfolio A return 10 years time ($m)
2527 observations (trading days)
portfolio A return distribution




The maximum loss over one day is about $47m at the 95% confidence level
VaR examples:
• Q: $3m overnight VAR with 99% confidence level
• A: the loss will be worst than $3m in on average 1
  day out of 100
• Q: 95% dialy VaR of $50m
• A: 95 days out of 100 there should be lose no more
  than $50 million
VaR issues
• VAR does not tell how big the loss might be on the
  95th/97th/100th day
• it is based on historical correlations which can break
  down in times of market stress
• it is based on statistical assumptions - it is estimation
• VAR can really only be used for marked-to-market
  portfolios (revalued every day)
• criticized as unable to forecast real value at risk as
  well as its existence encouraged extensive
  investment                                               10
liquidity risk management

       asset and funding liquidity risk
            LTCM collapse case-study
liquidity
• liquidity (accounting) - ability of a organization to
  pay his debts as and when they fall due
• liquidity (asset) - asset's ability to be sold with
  minimum price movement/loss of value
• liquidity risk is underestimated by many
  organizations
• loss of liquidity the reason for most bankruptcies or
  liquidations in the financial industry
liquidity risk
• it is less amenable to formal analysis than traditional
  market risk
• there is still no commonly accepted measurement /
  solution
• two types of liquidity risk:
   – asset liquidity (also called market/product liquidity risk)
   – funding liquidity risk (also called cash-flow risk)
• these two types of risk interact with each other
asset liquidity risk
• risk of loss due to an inability to sell an asset at
  expected value
• asset liquidity to be a crucial factor
• can be managed by setting limits on certain markets
  or products and by means of diversification
why an asset liquidity issue?
• asset might be too large in relation to the market and
  cannot be sold without moving it
• market might be unable to absorb an asset sale of
  that size
• asset may be so exotic/complex - attracts few buyers
• asset might not be readily transferable without some
  legal effort
• asset might be restricted on convertibility, capital
  withdrawal or regulatory approval
asset liquidity measurement
• tightness - which is a measure of the divergence between
  actual transaction prices
  and quoted mid-market prices
  depth - which is a measure of the volume of trades possible
  without affecting
  prices too much (e.g. at the bid/offer prices), and is in contrast
  to
  resiliency - which is a measure of the speed at which price
  fluctuations from trades
  are dissipated
• illiquid markets are those where transactions can quickly
  affect prices.
asset liquidity exercise
                     • $10,000 cash on bank
                       account
                     • 3 month $20,000 deposit
                     • 100 shares of Apple
                     • 100 shares of
                     • 10 US T-bond
                     • option
                     • OCT structure
asset liquidity management
•   asset maturity profile management
•   portfolio credit quality mix (high/low quality assets)
•   aged assets management (long-term assets)
•   concentrated (large) positions monitoring
funding liquidity risk
• risk of loss due to an inability to fund assets,
  payments and other obligations when required
   – inability to rollover, or renew, maturing financing when
     required
   – inability to access new funding when needed
• can be managed by proper
   – planning of cash-flow needs
   – by setting limits on cash flow gaps
   – by having a robust plan in place for raising fresh funds
• payables, short-term
  notes, repurchase
  agreements,
  commercial paper,
  deposits, long-term
  bonds, convertible
  securities, bank loans
funding liquidity management
•   liability maturity profile management
•   managing funding source concentration
•   credit rating changes awareness
•   using liquid collateral (adequate haircut)
Long Term Capital Management
       market and liquidity risk
Long term capital management
• Long Term Capital Management fund
• a hedge fund created by Salomon Brothers in 1994
• hired two Nobel prize economist: Myron Scholes and Robert
  C. Merton
• using high leverage and complex investment strategies
• has very good returns – on level of 40% annually




                                                              23
LTCM investment strategies
• fixed-income arbitrage
    – inefficiencies in the pricing of bonds
    – using derivatives as IRS (interest rate swaps), MBS (mortgage backed
      securities) and forwards
• statistical arbitrage
    – a heavily quantitative and computational approach to equity trading
    – looking for statistical mispricing of one or more assets based on the
      expected value of these assets
• pairs trading strategies
    – using temporary correlation changes between pair of stocks


• The problem: these strategies brings model risk and short term
  volatility risk
                                                                              24
LTCM downturn (I)
• high profits brings huge money from investors interested in its
  share
• others start to use similar strategies for investment which
  decrease its efficiency
• fund closed for new investors in 1996
• in 1997 huge dividend to remove unmanageable money from
  the fund – but without closing
• adequate risk positions
• style drift from original investment methods

                                                                25
LTCM downturn (II)

• portfolio under pressure of markets after East Asian crisis
  (1997)
• returns down to -6,42% in May 1998 and -10,14% in June –
  total loss of $461m
• in Aug 1998 Russian financial crisis – default of the
  government put pressure on bonds market
• further losses $1,85b which forced liquidation of assets



                                                                26
LTCM performance




                   27
LTCM deal loss example
Royal Dutch Shell
• Royall Dutch Shell – dual-listed at Euronext (Royal Dutch) and
  LSE (Shell)
• stock price premium of 8-10% observed at Royal Dutch
• $2,3b invested: half in long position at Shell, half in short on
  Royal Dutch
• expectation was premium will be gone and 8-10% profit from
  Royal Dutch re-purchase collected
• strategy was cut by forced liquidation – Royal Dutch was re-
  purchase under 22% premium
• deal created $286m loss
                                                                     28
LTCM downturn (III)
• company has performed a flight-to-liquidity
• Sep 1998 LTCM's equity down from $2.3b to $400m
• total liabilities still over $100 billion
• this translated to an effective leverage ratio of more than
  250:1
• due to deals with almos all Wall St big players they there was
  move to prevent fund form collapse




                                                                   29
LTCM downturn (IV)
• 23 Sep 1998 Goldman Sachs, AIG and Warren Buffet offered
  $200m for acquisition (compared to $4.7b starting capital) -
  deal was not done,
• FED organized an bailout and injected $3.65b capital for
  operation form consortium of banks
• by 2000 fund was liquidated and and rescuers paid back
• total loss estimated at $4.6b




                                                                 30
LTCM lessons
•   failures in:
•   1. Model risk
•   2. Breakdown in historical correlations
•   3. The need for stress-testing
•   The value of disclosure 4. and transparency
•   5. The danger of over-generous extension of
•   trading credit
•   6. The woes of investing in star quality

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Rm 09

  • 1. Risk Management University of Economics, Kraków, 2012 Tomasz Aleksandrowicz
  • 2. market risk management measuring market risk – value at risk (VaR)
  • 4. value at risk (VaR) (I) • VAR is the maximum loss over a target horizon such that there is a low, pre-specified probability that the actual loss will be larger • the answer to: 'How much money might I lose?‘ • provides an estimate of the riskiness of a portfolio based on statistical methodology to quantify potential financial loss
  • 5. value at risk (VaR) (II) • the most commonly used measure of market risk • useful because of its ability to distill a great deal of information into a single number • based on probabilities and within parameters set by the risk manager • based on one of several different methods
  • 6. value at risk (VaR) (III) • creates a distribution of potential outcomes at a specified confidence interval • confidence intervals are typically 95, 97.5, or 99 percent • time horizon might be 1 or more days • largest loss outcome using the confidence level as the cut-off is the amount reported as value-at risk • an example using historical data method:
  • 7. portfolio A return 10 years time ($m) 2527 observations (trading days)
  • 8. portfolio A return distribution The maximum loss over one day is about $47m at the 95% confidence level
  • 9. VaR examples: • Q: $3m overnight VAR with 99% confidence level • A: the loss will be worst than $3m in on average 1 day out of 100 • Q: 95% dialy VaR of $50m • A: 95 days out of 100 there should be lose no more than $50 million
  • 10. VaR issues • VAR does not tell how big the loss might be on the 95th/97th/100th day • it is based on historical correlations which can break down in times of market stress • it is based on statistical assumptions - it is estimation • VAR can really only be used for marked-to-market portfolios (revalued every day) • criticized as unable to forecast real value at risk as well as its existence encouraged extensive investment 10
  • 11. liquidity risk management asset and funding liquidity risk LTCM collapse case-study
  • 12. liquidity • liquidity (accounting) - ability of a organization to pay his debts as and when they fall due • liquidity (asset) - asset's ability to be sold with minimum price movement/loss of value • liquidity risk is underestimated by many organizations • loss of liquidity the reason for most bankruptcies or liquidations in the financial industry
  • 13. liquidity risk • it is less amenable to formal analysis than traditional market risk • there is still no commonly accepted measurement / solution • two types of liquidity risk: – asset liquidity (also called market/product liquidity risk) – funding liquidity risk (also called cash-flow risk) • these two types of risk interact with each other
  • 14. asset liquidity risk • risk of loss due to an inability to sell an asset at expected value • asset liquidity to be a crucial factor • can be managed by setting limits on certain markets or products and by means of diversification
  • 15. why an asset liquidity issue? • asset might be too large in relation to the market and cannot be sold without moving it • market might be unable to absorb an asset sale of that size • asset may be so exotic/complex - attracts few buyers • asset might not be readily transferable without some legal effort • asset might be restricted on convertibility, capital withdrawal or regulatory approval
  • 16. asset liquidity measurement • tightness - which is a measure of the divergence between actual transaction prices and quoted mid-market prices depth - which is a measure of the volume of trades possible without affecting prices too much (e.g. at the bid/offer prices), and is in contrast to resiliency - which is a measure of the speed at which price fluctuations from trades are dissipated • illiquid markets are those where transactions can quickly affect prices.
  • 17. asset liquidity exercise • $10,000 cash on bank account • 3 month $20,000 deposit • 100 shares of Apple • 100 shares of • 10 US T-bond • option • OCT structure
  • 18. asset liquidity management • asset maturity profile management • portfolio credit quality mix (high/low quality assets) • aged assets management (long-term assets) • concentrated (large) positions monitoring
  • 19. funding liquidity risk • risk of loss due to an inability to fund assets, payments and other obligations when required – inability to rollover, or renew, maturing financing when required – inability to access new funding when needed • can be managed by proper – planning of cash-flow needs – by setting limits on cash flow gaps – by having a robust plan in place for raising fresh funds
  • 20. • payables, short-term notes, repurchase agreements, commercial paper, deposits, long-term bonds, convertible securities, bank loans
  • 21. funding liquidity management • liability maturity profile management • managing funding source concentration • credit rating changes awareness • using liquid collateral (adequate haircut)
  • 22. Long Term Capital Management market and liquidity risk
  • 23. Long term capital management • Long Term Capital Management fund • a hedge fund created by Salomon Brothers in 1994 • hired two Nobel prize economist: Myron Scholes and Robert C. Merton • using high leverage and complex investment strategies • has very good returns – on level of 40% annually 23
  • 24. LTCM investment strategies • fixed-income arbitrage – inefficiencies in the pricing of bonds – using derivatives as IRS (interest rate swaps), MBS (mortgage backed securities) and forwards • statistical arbitrage – a heavily quantitative and computational approach to equity trading – looking for statistical mispricing of one or more assets based on the expected value of these assets • pairs trading strategies – using temporary correlation changes between pair of stocks • The problem: these strategies brings model risk and short term volatility risk 24
  • 25. LTCM downturn (I) • high profits brings huge money from investors interested in its share • others start to use similar strategies for investment which decrease its efficiency • fund closed for new investors in 1996 • in 1997 huge dividend to remove unmanageable money from the fund – but without closing • adequate risk positions • style drift from original investment methods 25
  • 26. LTCM downturn (II) • portfolio under pressure of markets after East Asian crisis (1997) • returns down to -6,42% in May 1998 and -10,14% in June – total loss of $461m • in Aug 1998 Russian financial crisis – default of the government put pressure on bonds market • further losses $1,85b which forced liquidation of assets 26
  • 28. LTCM deal loss example Royal Dutch Shell • Royall Dutch Shell – dual-listed at Euronext (Royal Dutch) and LSE (Shell) • stock price premium of 8-10% observed at Royal Dutch • $2,3b invested: half in long position at Shell, half in short on Royal Dutch • expectation was premium will be gone and 8-10% profit from Royal Dutch re-purchase collected • strategy was cut by forced liquidation – Royal Dutch was re- purchase under 22% premium • deal created $286m loss 28
  • 29. LTCM downturn (III) • company has performed a flight-to-liquidity • Sep 1998 LTCM's equity down from $2.3b to $400m • total liabilities still over $100 billion • this translated to an effective leverage ratio of more than 250:1 • due to deals with almos all Wall St big players they there was move to prevent fund form collapse 29
  • 30. LTCM downturn (IV) • 23 Sep 1998 Goldman Sachs, AIG and Warren Buffet offered $200m for acquisition (compared to $4.7b starting capital) - deal was not done, • FED organized an bailout and injected $3.65b capital for operation form consortium of banks • by 2000 fund was liquidated and and rescuers paid back • total loss estimated at $4.6b 30
  • 31. LTCM lessons • failures in: • 1. Model risk • 2. Breakdown in historical correlations • 3. The need for stress-testing • The value of disclosure 4. and transparency • 5. The danger of over-generous extension of • trading credit • 6. The woes of investing in star quality