medium · Frm Part 2 Market Risk
A risk manager uses the Cornish-Fisher expansion to adjust a VaR estimate.
What is the primary purpose of this semi-parametric repair?
- To reduce the dimensionality of a large covariance matrix.
- To adjust the normal distribution quantiles for skewness and kurtosis.
- To model the extreme tail using the Generalized Pareto Distribution.
- To account for time-varying volatility in historical simulation.
Sign up free to see the explanation and track your rank →
More Frm Part 2 Market Risk practice
- A leptokurtic distribution, often modeled by EVT, is characterized by which of the followi
- If a bank records 11 exceptions in a 250-day backtesting window for 99% VaR, what is the r
- In the GPD framework, if the threshold u is chosen too low, what is the most likely error
- In the Kupiec Likelihood Ratio test, what does the null hypothesis (H_0) state?
- The Hill estimator is primarily used to provide a direct estimate of which parameter?
- What happens to the mean of a GPD-distributed variable if the tail index ξ ≥ 1?
- What happens to the VaR estimate if we move from a thin-tailed (Gumbel, ξ = 0) model to a
- What is the base capital multiplier (m) applied to a bank's internal model market risk cap