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Formulas Risk Management

Essay by   •  December 3, 2015  •  Course Note  •  620 Words (3 Pages)  •  861 Views

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Chapter 7: How traders manage their risks

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ΔP: Change PF value

ΔS: Change variable value

Δσ: Change in volatility 

Δr: Change interest rate

[pic 4]

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Delta-neutral Portfolio

[pic 6]

Chapter 8: Interest rate risk

Parallel yield curve shifts

One interest-dependent instrument

Duration

[pic 7]

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ci: cash flow at ti

y: yield

Dollar duration

[pic 9]

Δy: Change yield

Key relationship

[pic 10]

Modified duration

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m: compounding frequency

Convexity

[pic 13]

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Dollar duration

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Portfolio interest-dependent instruments

Small parallel shift

[pic 16]

Duration

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Xi: PV ith asset

P: PV all assets

Dollar duration

[pic 19]

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Nonparallel yield curve shifts

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Chapter 9: VaR

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Impact of autocorrelation

[pic 25]

VaR conversion

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Incremental VaR: VaR = ∑iVaR

 [pic 28]

xi = invested ith subportfolio

Aggregating VaRs

[pic 29]

Backtesting

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Kupiec’s Two-Tailed Test

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n: Trials

m: # of exceptions

p: prob of exception

Chapter 10: Volatility

Simplified variance

[pic 35]

Power Law

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[pic 37]

K,a: constants

ARCH model

[pic 38]

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a: weight observation i

Volatility weighting schemes

EMWA

[pic 40]

GARCH (1,1)

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VL: Long-run variance rate

: Weight VL[pic 44]

Ljung-Box statistic

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m: # of observations

ck: autocorrelation for a lag of k

K: # of lags

Volatility forecast GARCH (1,1)

[pic 47]

Volatility term structures

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V(0): σ2n

Impact of volatility changes

[pic 50]

Chapter 11: Correlations and Copulas

Correlation two variables

[pic 51]

V1: Variable 1

V2: Variable 2

Covariance

Cov(V1,V2) = E(V1V2)-E(V1)E(V2)

Monitoring correlations between 2 variables:

Xi=(Xi-Xi-1)/Xi-1        Yi=(Yi-Yi-1)/Yi-1

 [pic 52]

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EMWA

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Garch(1,1)

 [pic 56]

Variance-Covariance Matrix

[pic 57]

Bivariate Normal Distribution

V1, V2 normal with mean:

 [pic 58]

 [pic 59]

Multivariate Normal Distribution

Generating random sample:

  [pic 60]

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Factor Models

One factor: [pic 63]

Multifactor:

[pic 64]

[pic 65]

Factor Copula Model

[pic 66][pic 67]

Vasicek’s Model

 [pic 68]

 [pic 69]

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Q: Probability Default Time T

X: Confidence Level (0.999)

Possible loss:

Investment * WCDR*(1-recovery rate)

Chapter 12: Basel I, II and Solvency II

Cook ratio

[pic 73]

Derivatives

[pic 74]

Netting

Without netting

[pic 75]

With netting

[pic 76]

Net replacement ratio (NRR)

[pic 77]

Credit equivalent amount

[pic 78]

1996 Amendment

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Total capital = (credit risk RWA + Market risk RWA) *0.08

Basel II

Total capital required = 0.08*(credit risk RWA + market risk RWA + operational risk RWA)

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