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10.2 Common Measures of Risk and Return
1) Which of the following statements is FALSE?
A) The variance increases with the magnitude of the deviations from the mean.
B) The variance is the expected squared deviation from the mean.
C) Two common measures of the risk of a probability distribution are its variance and standard
deviation.
D) If the return is riskless and never deviates from its mean, the variance is equal to one.
2) Which of the following statements is FALSE?
A) When an investment is risky, there are different returns it may earn.
B) In finance, the variance of a return is also referred to as its volatility.
C) The expected or mean return is calculated as a weighted average of the possible returns, where the
weights correspond to the probabilities.
D) The variance is a measure of how “spread out” the distribution of the return is.
3) Which of the following statements is FALSE?
A) The standard deviation is the square root of the variance.
B) Because investors dislike only negative resolutions of uncertainty, alternative measures that focus
solely on downside risk have been developed, such as the semi-variance and the expected tail loss.
C) While the variance and the standard deviation are the most common measures of risk, they do not
differentiate between upside and downside risk.
D) While the variance and the standard deviation both measure the variability of the returns, the
variance is easier to interpret because it is in the same units as the returns themselves.