Market Risk Flashcards

1
Q

what is market risk

A

the risk of losses due to movements in market prices including default risk, interest rate risk, credit spread risk, equity risk, foreign exchange risk and commodities risk.

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2
Q

what are 2 properties of risk limits

A
  • Hierarchical
  • Sub-additive.
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3
Q

what are 3 tail risk measures

A

VaR
stressed VaR
expected shortfall

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4
Q

what are the 5 sensitivities and define each

A
  • Delta: change in price with respect to the underlying price.
  • Rho: change in price with respect to the interest rate.
  • Theta: change in price with respect to time.
  • Gamma: change in delta with respect to the underlying price.
  • Vega: change in price with respect to volatility.
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5
Q

what is P&L attribution

A

the amount of the P&L that comes from a certain variable

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6
Q

what is the formula for calculating P&L attribution

A

δ_1=V(α_2,β_1,ϕ_1,ψ_1 )-V(α_1,β_1,ϕ_1,ψ_1 )

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7
Q

what is a stress test

A

a test to see the impact of a hypothetical event on the value of a portfolio.

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8
Q

what two characteristics should a stress test have

A

they should be severe and probable

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9
Q

what are the 3 types of stress tests

A

o Single factor shock.
o Historical scenarios.
o Hypothetical scenarios.

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10
Q

what is reverse stress testing

A

seeing what the most probable scenarios are that lead to a certain amount of loss.

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11
Q

what are the 4 axioms of a coherent risk measure

A
  1. Normalization: a portfolio with no positions has no risk
  2. Translation invariance: adding cash to a portfolio reduces its risk.
  3. Positive homogeneity: doubling a portfolio doubles its risk.
  4. Subadditivity: diversification decreases the risk in a portfolio.
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12
Q

what is value at risk (VaR)

A

the potential loss a portfolio can suffer for a given time horizon and confidence level.

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13
Q

what are 3 advantages of VaR

A

o Easy to understand
o Fairly robust to outliers
o Well established back testing procedures.

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14
Q

what are three disadvantages of using VaR

A

o A single number summary of the entire loss distribution.
o Model risk: you can badly mis-specify the loss distribution.
o Not sub-additive.

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15
Q

when is VaR subadditive

A

when the distribution of the entire portfolio is elliptical (multivariate normal, t, logistical)

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16
Q

what are 3 ways VaR can be computed

A
  1. historical simulation
  2. analytically
  3. using a Monte Carlo simulation
17
Q

what are the steps in the construction a historical simulation to compute VaR

A

 Construct a set of losses using the valuation function for the portfolio.
 Assign each a value an equal probability.
 Order the losses from smallest to largest.
 VaR is the [(n+1)(1-α)]th largest loss

18
Q

what are 3 ways to deal with volatility when doing a historical simulation

A
  1. Assume a constant volatility for each σ(K,T).
  2. Let σ(K,T) be its own risk factor.
  3. Choose a parameterization of σ(K,T) and use those as risk factors.
19
Q

how is VaR computed using the analytical approach

A

by assuming some loss distribution

20
Q

what is an advantage and disadvantage of the analytical method

A

advantage: good estimates
disadvantages: not very realistic.

21
Q

what are 2 advantages and 1 disadvantage of using the Monte Carlo method to compute VaR

A

advantages: introduces new scenarios and not just historical ones, variance reduction techniques improve estimates
disadvantage: only as good as the model used to generate the samples

22
Q

what does expected shortfall do

A

considers the entire tail of losses beyond a specified quantile

23
Q

what is an advantage and disadvantage of ES

A

advantage: sub-additive
disadvantages: sensitive to all scenarios in the tail

24
Q

what are two methods that companies compute capital

A
  1. standardized method
  2. internal model-based approach
25
Q

what are the 3 components in the standardized method

A
  1. Sensitivity based capital charge
  2. Default risk capital charge
  3. Residual risk add-on