FRM Part I · FRM Exam Part I · Measuring Return, Volatility, and Correlation
During a market crisis, a risk manager observes that the correlation between two equity portfolios rises sharply compared with calm periods. Which implication is most consistent with this finding for risk measurement?
Diversification benefits measured with average, full-sample correlations probably overstate protection during stress. Correlations tend to rise in crises, which increases portfolio variance and VaR relative to estimates built mostly from calm periods, so stress-conditional correlations should be considered.
- ADiversification benefits estimated from full-sample correlation likely overstate protection in stress periodsCorrect
- BDiversification benefits are larger in stress periods than in calm periods
- CCorrelation is constant, so the observed change must be sampling error
- DPortfolio VaR must fall because higher correlation reduces variance
Explanation
Correlations tend to increase in stressed markets, so a full-sample estimate dominated by calm periods understates joint downside risk. Higher correlation raises portfolio variance, not lowers it, so VaR based on average correlation is too low in crises.
Did you get it right without looking?
One question tells you little. A timed set on Measuring Return, Volatility, and Correlation shows your real accuracy, how long you take and where you lose marks.
More Measuring Return, Volatility, and Correlation questions
- An analyst finds that a stock's 30-day implied volatility is persistently above subsequently realized volatility, with the average gap of ab…
- Asset A has a daily return volatility of 2% and asset B has 3%. The covariance of their daily returns is 0.00045. A portfolio holds equal we…
- A risk manager finds that monthly returns on a portfolio have first-order autocorrelation of +0.30, while the monthly standard deviation is …
- An analyst observes five daily log returns for a stock: 1%, -2%, 3%, 0%, and 3%. Using the unbiased sample variance estimator (dividing by n…
- An analyst finds that the Pearson correlation between daily returns of two equity indices is 0.05, and concludes the two indices are indepen…
- A risk analyst estimates that the daily log-return volatility of an equity index is 1.20%. Assuming returns are independent and identically …