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    RiskRisk--adjusted Performance Measurementadjusted Performance Measurement

    Alpha to OmegaAlpha to OmegaDownside to DrawdownDownside to Drawdown

    Appraisal to PainAppraisal to Pain

    Carl Bacon

    Zurich6th February 2008

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    Risk ManagementRisk Management

    Risk Managers Front Office

    Paid to take risk

    Risk is good Risk Controllers

    Middle office

    Paid to monitor/reduce risk Risk is bad

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    Risk MeasuresRisk Measures

    Ex-Post

    Risk after the event

    Historical

    Ex-Ante

    Risk before the event

    Prospective

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    Simple Risk MeasuresSimple Risk Measures

    Absolute Variability, Sharpe Ratio

    Relative Tracking Error, Information Ratio

    Regression

    ,

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    VariabilityVariability

    mean

    r

    = [ri-mean]2

    n

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    6.4

    6.6

    6.8

    7.0

    7.2

    7.4

    7.6

    7.8

    8.0

    A B Benchmark

    Portfolio ReturnsPortfolio Returns

    7.9%

    6.9%

    7.5%

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    Portfolio RiskPortfolio Risk

    0.0

    1.0

    2.0

    3.0

    4.0

    5.0

    6.0

    A B Benchmark

    5.50%

    3.20%

    4.50%

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    Sharpe RatioSharpe Ratio

    0%

    1%

    2%

    3%

    4%

    5%

    6%

    7%

    8%

    9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    Risk

    Retur

    n

    B ABenchmark

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    MM22

    0%1%

    2%

    3%

    4%5%

    6%

    7%

    8%9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    Risk

    Return

    B

    A

    Benchmark

    Return adjusted

    to risk M2 for B

    Return adjusted

    to risk M2 for A

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    Risk Adjusted ReturnsRisk Adjusted Returns

    Sharpe

    Ratio P

    FP rrSR

    =

    P = P o r t f o l i o R i s k M = M a r k e t R i s k R P = P o r t f o l i o R e t u r nR F = R i s k F r e e R a t e

    or

    ( )pMP SRrM +=

    2

    ( ) FP

    MFP rrrM +=

    2

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    Modigliani Excess ReturnModigliani Excess Return

    4.5%

    B

    Return adjusted for

    Risk M2= 8.9%

    M2 (Excess) =8.9% - 7.5% = 1.4%

    Risk adjusted excess return

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    Tracking errorTracking error

    Tracking Error

    Standard Deviation of excess return

    Measures consistency of excess return

    Ex-Post or Ex-ante Normally annualised

    Information RatioAnnualised Excess Return

    Annualised Tracking Error

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    Information RatioInformation Ratio

    Excess

    Return

    Tracking Error

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    Information RatioInformation Ratio

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1.41.6

    Q1

    97

    Q3

    97

    Q1

    98

    Q3

    98

    Q1

    99

    Q3

    99

    Information ratio

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    Risk Efficiency RatioRisk Efficiency Ratio

    Risk Efficiency Ratio

    or

    Measures the quality of the tracking error forecast

    Observed Tracking ErrorForecast Tracking Error

    Ex-Post Tracking ErrorEx-Ante Tracking Error

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    Regression EquationRegression EquationR

    B

    =0.1

    xx x

    xx x

    x

    x x

    xx

    x

    x x

    x

    x =1.0

    R = + (B-RF) +

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    Bull & Bear BetasBull & Bear BetasR

    B

    xx x

    xx

    xx

    x x

    xx

    x

    xx

    xx+ =1.1

    =0.9

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    Regression EquationRegression Equation

    Regression Equation

    Beta Gradient of the regression equation

    Jensens Alpha Intercept of the Regression Equation

    ( )

    ( )

    ++= )( FMFp rrrr

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    Regression StatisticsRegression Statistics

    Correlation ( r or ) =

    Coefficient of =

    Determination (R2)

    Systematic RiskPortfolio Risk

    Systematic VariancePortfolio Variance

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    Treynor RatioTreynor Ratio

    0%

    1%2%

    3%

    4%

    5%

    6%

    7%

    8%

    9%

    10%

    0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6

    Beta

    Return

    B

    A Benchmark

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    Risk MeasuresRisk Measures

    Treynor Ratio

    Systematic Risk

    Appraisal Ratio

    ms =

    FPrr

    TR

    =

    Modified Jensen

    =

    RiskSpecific

    AlphasJensen'

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    FamaFama DecompositionDecomposition

    Early form of performance attribution Return above risk free rate decomposed into two

    components:

    Systematic Risk Investors risk

    Managers risk

    Selectivity ( Jensens alpha) Diversification

    Net selectivity

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    FamaFama DecompositionDecomposition

    Return

    Total

    Excess

    Return

    Return

    from

    Selectivity

    Return from

    Managers Risk

    Return from

    Investors risk

    Diversification

    Net Selectivity

    A1

    Benchmark

    A3

    A2

    I P F

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    FamaFama Decomposition: Systematic riskDecomposition: Systematic risk

    Return due to systematic risk

    Return due to investors systematic risk

    Return due to managers systematic risk

    ( )FMPp rrr =

    ( )FMII rrr =

    ( ) ( )FMIPM rrr =

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    FamaFama DecompositionDecomposition

    Fama Equivalent F

    Diversification (d) (Return required to justified specific risk taken)

    Net Selectivity (s)

    M

    PF

    =

    ds =

    )()(FMP

    F rrd =

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    GH 1 ( Graham & Harvey)GH 1 ( Graham & Harvey)

    0%

    1%

    2%

    3%

    4%

    5%

    6%

    7%

    8%

    9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    Risk

    Retur

    C

    D

    Benchmark

    GH1 C

    GH1 D

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    GH2 ( Graham & Harvey) for MGH2 ( Graham & Harvey) for M22

    0%

    1%2%

    3%

    4%

    5%

    6%

    7%

    8%9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    Risk

    Retu

    r

    C

    D

    Benchmark

    GH2 C

    GH2 D

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    Hedge FundsHedge Funds

    A hedge fund constitutes an investment programwhereby the managers or partners seek absolute

    returns by exploiting investment opportunities

    while protecting principal from potential financialloss

    Ineichen (2003)

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    RiskRisk

    --adjusted Performance for Hedge Fundsadjusted Performance for Hedge Funds

    Investment returns are not normal

    Particularly hedge funds

    Skewness

    Kurtosis

    Excess Kurtosis

    n

    rrS

    P

    i 13

    =

    =

    n

    rrK

    p

    i 14

    31

    4

    =

    n

    rrK

    p

    iE

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    KurtosisKurtosis

    Kurtosis >3

    Kurtosis

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    SkewnessSkewness

    Positive Skew Negative Skew

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    BeraBera--Jarque TestJarque Test

    Test for normality

    Reject if exceeds 5.99 (95%)

    Reject if exceeds 9.21 (99%)

    +=

    46

    22 EKS

    nBJ

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    Adjusted Sharpe RatioAdjusted Sharpe Ratio

    +=

    2

    24

    3

    6

    1 SRK

    SRS

    SRASR

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    Downside RiskDownside Risk

    D=Downside semi-standard deviation

    Fewer data points

    Less information Does upside dispersion matter?

    down

    TP rr

    =RatioSortino

    Tr =Mimimum acceptable (or Target) return

    [ ]

    =

    =

    n

    i

    Ti

    D

    n

    rr

    1

    20),(min

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    Sortino RatioSortino Ratio

    0%

    1%

    2%

    3%

    4%5%

    6%

    7%

    8%

    9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    Downside Risk

    Retur

    B

    A

    Benchmark

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    MM

    22 (for downside risk)

    0%

    1%

    2%

    3%

    4%5%

    6%

    7%

    8%

    9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    Downside Risk

    Retur

    B

    A

    Benchmark

    M2 for downside risk

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    Upside Potential Ratio (Discrete)Upside Potential Ratio (Discrete)

    UPR= Upside Potential

    Downside Risk

    ( )

    D

    ni

    iTi nrr

    UPR

    =

    = =

    10,max

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    OmegaOmega

    Gain-Loss Ratio ( Bernardo & Ledoit )

    Omega-Sharpe Ratio

    1=

    =

    =

    =

    ni

    iiT

    TP

    rrn

    rr

    1

    )0,max(1

    0=Tr

    PotentialDownside

    PotentialUpside

    )0,max(

    1

    )0,max(1

    1 =

    =

    =

    =

    iT

    ni

    i

    Ti

    rrn

    rrn

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    Prospect RatioProspect Ratio

    Penalises loss greater than gain Based on Prospect Theory

    ( ) ( )( )

    D

    T

    ni

    i

    ii rrMinrMaxn

    +=

    =

    =10,25.20,

    1

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    Value at Risk (VaR)Value at Risk (VaR)

    Maximum loss in cash terms over a finite period

    given a certain level of confidence (say 95%)

    Typically ex-ante

    Volatility is an input - not an output Similar to ex-ante tracking error

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    VaRVaR

    Historical Simulation Re-organises actual historical returns

    Monte Carlo Simulation

    Multiple hypothetical trials Variance- Co-variance

    Assumes normality

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    Return on VaRReturn on VaR

    Return on VaR

    (%)VaR

    rrR FPVaR

    =

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    Return on VaRReturn on VaR

    0%

    1%

    2%

    3%

    4%

    5%

    6%

    7%

    8%9%

    10%

    0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% 5.5% 6.0%

    VaR

    Retur

    BA

    Benchmark

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    Conditional VaR (Conditional VaR (E x p e c t e d S h o r t f a l l E x p e c t e d S h o r t f a l l ))

    Conditional

    VaR

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    Conditional Sharpe RatioConditional Sharpe Ratio

    Conditional Sharpe RatioCVaR

    FP rr =

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    Modified VaModified VaRR

    VaR modified for Kurtosis & Skewness

    Cornish-Fisher expansion

    +

    ++=

    2332

    36

    52

    24

    3

    6

    1MVa S

    zzK

    zzS

    zzrR

    ccE

    ccccp

    =cz -1.96 with 95% confidence=cz -2.33 with 99% confidence

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    Modified Sharpe RatioModified Sharpe Ratio

    Modified Sharpe RatioMVaR

    FP rr =

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    DrawdownDrawdown

    MaximumDrawdown

    Time

    D1

    D2

    D3

    Recovery time

    Cumulativereturn

    St li C l & B k R tiSt li C l & B k R ti

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    Sterling, Calmar & Burke RatiosSterling, Calmar & Burke Ratios

    Sterling Ratio

    Calmar Ratio

    Burke ratio

    Drawdown = losing period

    Max

    D

    F

    r

    rr=

    =2

    Dj

    F

    r

    rr

    =D

    R

    =DjR

    =Max

    DR

    Average Drawdown

    Maximum Drawdown

    Drawdown j

    D

    F

    r

    rr=

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    Versions of the Sterling RatioVersions of the Sterling Ratio

    Multiple Variations

    Original (Deanne Sterling Jones)

    Average or Largest Individual Drawdown (say 3

    or 5)

    Average annual Maximum Drawdown

    %10+

    D

    p

    r

    r

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    SterlingSterling--Calmar RatioCalmar Ratio

    Max

    D

    Fp

    r

    rr Sterling-Calmar Ratio =

    Combines concepts in Calmar & Sterling Ratios

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    Pain & Ulcer IndexesPain & Ulcer Indexes

    Reflect pain & worry since high water mark

    Pain Index

    Ulcer Index =

    =

    !=

    ni

    i

    i

    n

    DUI

    1

    2

    =

    =

    !=

    ni

    i

    i

    n

    DPI

    1

    iperiodinpeakpervioussincedrawdown=!i

    D

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    Pain & Martin RatiosPain & Martin Ratios

    Sharpe type ratios

    Pain Ratio

    Martin Ratio(or Ulcer Performance Ratio)

    =

    =

    !

    =

    ni

    i

    i

    FP

    n

    D

    rrMR

    1

    2

    =

    =

    !

    =mi

    i

    i

    FP

    n

    D

    rrPR

    1

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    DurationDuration

    Duration is a Fixed Income Risk Measure Macaulay Duration

    Macaulay-Weil Duration

    Modified Duration

    Effective Duration

    It measures price sensitivity to changes in interest

    rates

    B

    P

    DDDuration =

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    Hurst IndexHurst Index

    Where:

    Between 0.5 and 1 - Persistent

    Around 0.5 - Totally Random

    Between 0 and 0.5 - Anti-Persistent

    ( )

    ( )n

    mH

    log

    log=

    ( ) ( )

    P

    ii PPm

    minmax =

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    Risk Adjusted Attribution

    ( )FMF RRRR +=

    Ri k Adj t d Att ib ti

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    Risk Adjusted Attribution

    Portfolio Benchmark Portfolio Index Weight Weight Return Return

    UK 40% 40% 20.0 10.0 1.3

    Japan 30% 20% -5.0 -4.0 1.0

    US 30% 40% 6.0 8.0 0.8

    Total 100% 100% 8.3 6.4 1.1

    Total Excess Return =1.79

    Risk Adjusted Attribution (Asset Allocation)

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    Risk Adjusted Attribution (Asset Allocation)

    Portfolio Benchmark Portfolio Index Semi-

    Weight Weight Return Return Notional

    UK 40% 40% 20.0 10.0 10.0

    Japan 30% 20% -5.0 -4.0 -4.0US 30% 40% 6.0 8.0 8.0

    Total 100% 100% 8.3 6.4 5.2

    Total Excess Return -1= 1.79

    Asset (or country) Allocation

    1.083

    1.064

    [ ] 01064.1

    10.1%40%40 =

    [ ] 97.01064.1

    96.0%20%30 =

    [ ] 15.01064.1

    08.1%40%30 =

    13.11064.1

    052.1=

    UK

    JAPAN

    US

    TOTAL 0 - 0.97 - 0.15 = -1.13 or alternatively

    S t ti Ri kS t ti Ri k

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    Portfolio Benchmark Portfolio Index Risk-

    Weight Weight Return Return adjusted

    UK 40% 40% 20.0 10.0 12.7

    Japan 30% 20% -5.0 -4.0 -4.0US 30% 40% 6.0 8.0 6.4

    Total 100% 100% 8.3 6.4 5.8

    Systematic Risk

    03.1052.1

    10.1110.1

    127.1%]40[ =

    0.0052.1

    96.01

    96.0

    96.0%]30[ =

    44.0052.1

    08.11

    08.1

    0644.1%]30[ =

    58.01052.1

    0581.1=

    UK

    JAPAN

    US

    TOTAL 1.03 +0.0 - 0.44 = 0.58

    Systematic RiskSystematic Risk

    or alternatively

    S l ti itS l ti it

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    Portfolio Benchmark Portfolio Index Risk-

    Weight Weight Return Return adjusted

    UK 40% 40% 20.0 10.0 12.7

    Japan 30% 20% -5.0 -4.0 -4.0US 30% 40% 6.0 8.0 6.4

    Total 100% 100% 8.3 6.4 5.8

    76.20581.1

    127.11127.1

    20.1%]40[ =

    28.00581.1

    96.01

    96.0

    95.0%]30[ =

    12.00581.1

    0644.11

    0644.1

    06.1%]30[ =

    35.210581.1

    083.1=

    UK

    JAPAN

    US

    TOTAL 2.76 - 0.28 - 0.12 = 2.35

    SelectivitySelectivity (or Adjusted Stock Selection)(or Adjusted Stock Selection)

    or alternatively

    C l di R kC l di R k

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    Concluding RemarksConcluding Remarks

    Risk like beauty is in the eye of the

    beholder The basic structure of all composite risk measures

    is the same:

    Get it wrong and youre in trouble

    RiskReward

    U ilUnile er M illMerrill

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    UnileverUnilever -- MerrillMerrill

    Financial Times

    1st October 2001

    AppendixAppendix Excel FunctionsExcel Functions

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    AppendixAppendix -- Excel FunctionsExcel Functions

    Sample excess Kurtosis

    Sample Skewness

    ( )

    ( ) ( ) ( )

    ( )

    ( ) ( )32

    13

    321

    12

    4

    +

    =

    nn

    n

    nnn

    nnrr

    p

    i

    ( ) ( )21

    3

    = nn nrr P

    i