Why can the covariance of a pair of random variables be negative when the variance of random variables is always non-negative?
Why can the covariance of a pair of random variables be negative when the variance of random variables is always non-negative?
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Please select the correct statement from the choices below.
Two random variables with zero correlation tend to move in the opposite direction. | |
Two random variables with positive correlation tend to move in the same diretion. | |
Mean and variance are measured in the same units. | |
Covariances lie between 0 and 1. |
According to the Fama-French model
beta is not a determinant of a stock's expected return. | |
firm size and value are important factors in explaining the realized returns on publicly traded stock. | |
most company stock have a beta equal. | |
a stock's standard deviation is the only important factor determining its return. |
One critique of the CAPM is that
the market return is not calculable. | |
all individual stock betas equal one so the model is irrelevant. | |
the model's predictive power is questionable. | |
you can't determine the riskless rate of return. |
The following ratio represents a stock's __________.
Cov(ra,rm)Ï2m
riskless rate of return | |
beta | |
standard deviation | |
market price | |
risk-adjusted return |
The difference between the realized return and the expected return predicted from the CAPM is the ________
Rf | |
β | |
α | |
Ï2m |