Skip to content

FRM Part I · FRM Exam Part I · Measuring Return, Volatility, and Correlation

A risk manager finds that monthly returns on a portfolio have first-order autocorrelation of +0.30, while the monthly standard deviation is 4%. Which statement best describes the effect on volatility estimation if she annualizes using 4% x sqrt(12) = 13.86%?

The true annual volatility is likely higher than 13.86%. Multiperiod variance includes autocovariance terms, and positive autocorrelation makes them positive, adding to variance. The square-root-of-time rule assumes no serial correlation, so it understates risk in this case.

  1. AThe true annual volatility is likely higher, because positive autocorrelation makes the square-root-of-time rule understate riskCorrect
  2. BThe true annual volatility is likely lower, because positive autocorrelation reduces the variance of multiperiod returns
  3. CThe square-root-of-time rule remains exact, because it only requires a constant mean
  4. DThe true annual volatility is unchanged, but the annual mean return is biased

Explanation

The multiperiod variance equals the sum of single-period variances plus twice the sum of autocovariances. Positive autocovariances add to variance, so the sqrt(T) rule understates volatility. The rule is exact only when returns are uncorrelated over time.

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