FRM Part I · FRM Exam Part I · Measuring Return, Volatility, and Correlation
Daily log returns of an equity index are assumed to be independent with mean 0.04% and standard deviation 1.10%. Using 25 trading days in the period, what are the mean and standard deviation of the 25-day log return?
The 25-day log return has mean 25 x 0.04% = 1.00% and standard deviation 1.10% x 5 = 5.50%. Means grow linearly with time, while volatility grows with the square root of time when returns are independent.
- AMean 1.00%, standard deviation 5.50%Correct
- BMean 1.00%, standard deviation 27.50%
- CMean 0.04%, standard deviation 5.50%
- DMean 0.04%, standard deviation 1.10%
Explanation
For independent log returns, the mean scales with time: 25 x 0.04% = 1.00%. The standard deviation scales with the square root of time: 1.10% x sqrt(25) = 5.50%. Option B scales volatility linearly, an error. Options C and D fail to scale the mean.
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 asset has a monthly log return of 2.00% in month 1 and a monthly log return of -3.00% in month 2. Which statement about the two-month sim…
- Two assets have return volatilities of 10% and 20%. A portfolio is 60% in the first and 40% in the second, and the portfolio volatility is e…
- A risk analyst examines a long daily return series for an equity index and finds that the sample kurtosis is 7.5, while the sample skewness …
- Which statement about a return distribution with negative skewness is correct?
- The VIX closes at 16 on Monday and 20 on Tuesday. Treating these as annualized volatilities in percent, what is the percentage change in the…
- An analyst compares the VIX with the subsequent realized volatility of S&P 500 returns over many years. Which finding is most consistent wit…