Market risk management Flashcards
Definition Risk
Risk is defined as the (unexpected) deviation of a position’s value from its expected value.
The (unexpected) loss (i.e. the unexpected deviation of a price from its expected level) is the
risk faced by individuals, banks, … So it’s all about the loss distribution!
To measure risk means to measure the potential change of the (present/market) value of a
position.
Definition Market Risk
BASEL II: Market risk can be defined as the risk of losses in on and off-balance sheet positions
arising from adverse movements in market prices
Market Risk can be regarded as systematic risk or non-diversifiable risk as opposed to
specific risk, i.e. the idiosyncratic risk of a single asset (see also: CAPM)
Market Risk is a financial risk, a performance risk
Bond value
all bond cash flows are discounted to present with the
respective zero coupon rates
What ist the DV01?
The DV01 (delta value of a basis point) measures the change in the present value of a future cash flow (CF) in case of a one basis point shift (=0.01%) of the relevant zero-coupon rate.
DV01 is a standard sensitivity measure of interest rate risk.
Example: CF in 3 years of CHF 1’000’000; 3y-zero-cpn rate = 5%:
(1 Mio / (1+0.0501)^3) - (1 Mio / (1+0.05)^3) = -246.76
DV01 as IR Measure and Convexity
The impact of a larger shift in interest rates (e.g. 50 basis points) can be derived approximately as:
Change in PV of cash flow = 50 x DV01
∆PV is CHF 114.07 larger (“less” negative) than 50xDV01. This
difference is called “convexity”.
VaR
Value at Risk (VaR) is a risk measure that tries to capture the
unexpected change in value (i.e. loss potential) of big price/rate moves of the analyzed positions in a otherwise well functioning market.
VaR = Worst loss that a position or a portfolio of financial instruments might experience under normal market conditions, during a defined holding period and at a defined confidence level.
Expected Shortfall: Definition
As we have seen VaR only specifies the probability that a loss will not exceed a given amount (i.e. the VaR level) but not the maximum or average size of losses exceeding VaR.
The Expected Shortfall (ES) measures the “average” size of the losses exceeding VaR.
What are the challenges of Market Risk Management?
Modelling Challenges
System & Data Issues
Regulatory Issues
Organizational Culture
Let’s sum it all up
The regulatory authorities (e.g. BASEL I-IV) define market risk “as the risk of losses in on and offbalance sheet positions arising from adverse movements in market prices”
When quantifying market risk, it’s important to understand how the value of financial instruments
behaves in relation to the change of underlying market factors
The assessment of market risk can be done by calculating sensitivities (for small changes), Value at
Risk (for portfolios) or stress scenarios (for large market dislocations)
Under BASEL II, minimum capital requirements for market risk may either be determined by the
Standardized approach or the Internal model approach
BASEL IV will bring many improvements, e.g. better segregation of banking / trading book, more complex
Standardized approach, switch from VaR to ES in Internal model approach
Market risk management is a continuous process with many best practice procedures in place and
many challenges to overcome
Messmethoden zur Berechnung des Value-at-Risk
Variance-Covariance Approach
Historical Simulation Approach
Monte-Carlo Approach
Backtesting
How can the assessment of market risk be done?
The assessment of market risk can be done by calculating sensitivities (for small changes), Value at Risk (for portfolios) or stress scenarios (for large market dislocations)
How are the minimum capital requirements for market risk determined?
Under BASEL II, minimum capital requirements for market risk may either be determined by the Standardized approach or the Internal model approach
Market Risk management: Standardized
approach
Building BlockApproach:
Capital charge captured separately for each risk, then summed. Trading book used for
general and specific IR and EQU risk, both
trading and banking book used for general
FX and COM risk
Briefly explain the Variance/Covariance approach
Var/Cov makes often use of the normal distribution assumption (volatilities and correlations) based on market and /or statistical estimates.
Pros:
This method is very efficient. The position can be calculated easily even for a whole bank
# The risk factor distribution can be described by a variancecovariance matrix (unweighted/weighted)
Cons:
#Risk of fat tails or non-linearities can lead to a dramatic
underestimation of the real risks
# “Fat tails” in a crisis situation are not diversified away but rather
“accumulated”.
Briefly explain the Monte Carlo approach
Monte Carlo simulates a profit & loss distribution based on statistically derived distributions of the risk factors.