CFA Level I · CFA Level I Exam · Statistical Characteristics of Asset Returns
The sample standard deviation of Asset M's returns is 12% and that of Asset N's returns is 5%. The correlation between the two is -0.40. If every return of Asset M is doubled while Asset N is unchanged, the new covariance in squared percent units is closest to:
The new covariance is -48. The original covariance is -0.40 times 12 times 5, or -24. Doubling one series scales covariance by two, giving -48, while correlation is unaffected by the change of scale and remains -0.40.
- A-48Correct
- B-24
- C-12
Explanation
Original covariance = -0.40 × 12 × 5 = -24. Doubling M's returns doubles its deviations, so covariance doubles to -48. The correlation stays at -0.40 because it is scale-free; using the original covariance (-24) ignores the scaling.
Did you get it right without looking?
One question tells you little. A timed set on Statistical Characteristics of Asset Returns shows your real accuracy, how long you take and where you lose marks.
More Statistical Characteristics of Asset Returns questions
- A risk analyst compares a histogram of daily returns with a Q-Q plot against the normal distribution. The plotted points curve upward above …
- The covariance between the returns of Asset A and Asset B is 0.0048. The standard deviation of Asset A is 8% and that of Asset B is 10%. The…
- The covariance between the returns of Asset X and Asset Y is 0.0060. The standard deviation of X returns is 0.20 and the standard deviation …
- An analyst compares the dispersion of two funds' annual returns. Fund X has a mean return of 8% and a standard deviation of 12%. Fund Y has …
- A data set of monthly returns for a small-cap fund contains a few extremely large positive outliers. Compared with the arithmetic mean, the …
- An analyst sorts 200 monthly fund returns from lowest to highest. The return at the 150th position is most likely the: