FRM Part I · FRM Exam Part I · Measures of Financial Risk
A risk manager reviews four properties that a risk measure may satisfy: monotonicity, translation invariance, homogeneity, and subadditivity. Under the standard definition, a risk measure is coherent only if it satisfies all four. Which of the following statements about Value at Risk (VaR) is correct?
VaR is not a coherent risk measure because it can fail subadditivity for some distributions. It does satisfy monotonicity, translation invariance and homogeneity, but the VaR of a combined portfolio can exceed the sum of the stand-alone VaRs, which contradicts diversification logic.
- AVaR is coherent because it satisfies subadditivity for all return distributions
- BVaR is not coherent because it can fail subadditivity for some distributionsCorrect
- CVaR is not coherent because it fails monotonicity
- DVaR is not coherent because it fails translation invariance
Explanation
VaR satisfies monotonicity, translation invariance and homogeneity, but it can violate subadditivity when losses are non-normal, for example with discrete or skewed credit-type payoffs. So the combined VaR of two portfolios can exceed the sum of the individual VaRs. The other options attribute failures to properties VaR does satisfy.
Did you get it right without looking?
One question tells you little. A timed set on Measures of Financial Risk shows your real accuracy, how long you take and where you lose marks.
More Measures of Financial Risk questions
- A risk committee wants a risk measure that is coherent and gives more weight to larger losses by weighting quantiles. Which approach matches…
- A portfolio has a current risk measure of USD 20 million. The firm adds USD 5 million of risk-free cash to the portfolio. If the risk measur…
- A risk manager estimates the one-day 95% VaR of a portfolio at USD 2.0 million. Which statement about the one-day 95% expected shortfall (ES…
- Which statement about VaR as a risk measure is correct?
- A portfolio's daily profit and loss is normally distributed with a mean of zero and a standard deviation of USD 2.0 million. Using a z-value…
- Which statement about estimating VaR and expected shortfall (ES) from a finite sample is most accurate?