CFA Level I · CFA Level I Exam · Statistical Characteristics of Asset Returns
In a box-and-whisker plot of annual returns, the box spans 4% to 12%, the median is 6%, and the upper whisker extends to the largest observation within 1.5 times the interquartile range above the third quartile. A single point at 30% is plotted separately. The 30% observation is most likely:
The 30% observation is an outlier beyond the upper fence of 24%. The IQR is 8, and 12 plus 1.5 times 8 equals 24. Anything above that is plotted separately from the whisker.
- Aan outlier beyond the upper fence of 24%Correct
- Bwithin the whisker because it is below 36%
- Cthe third quartile of the data
Explanation
IQR = 12 - 4 = 8. The upper fence is 12 + 1.5 × 8 = 24%. A value of 30% exceeds 24%, so it is plotted as an outlier. The 36% figure wrongly adds 3 × IQR. The third quartile is 12%. The median of 6% sits below the box midpoint, indicating positive skew.
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
- An analyst wants a single measure of the typical annual growth of an investment whose value compounds over several years with varying return…
- 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 …
- An analyst computes the sample covariance between the monthly returns of two equity funds and obtains a value of 0.0042. Which statement abo…
- 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…
- An analyst compares two funds with very different average returns and wants a dispersion measure that allows a fair comparison of risk per u…