Using three years of monthly returns, an analyst estimated the
following relationship between a mutual fund's excess returns and
the market excess returns:
RP = -0.002936 + 0.3986RM -1.8423R2M + eP
The R2 of the regression was 21.26% and the t-statistics of the
three regression coefficients were -0:37, 2.80 and -0.79,
respectively. What can you say about the fund's timing ability
based on this regression result?
There are three observations and three predictors (including intercept) | |||||||||
So | |||||||||
n = | 3 | ||||||||
k = | 3 | ||||||||
DF = | 0 | ( n - k) | |||||||
Since the number of observations equal number of predictors, so statistical significance cannot be calculated, also R2 is only 21.26% which represents that regression can only explain 21.26% of the variation. | |||||||||
So this regression is not a good explanation of the fund's ability to provide excess returns. And it is not possible to comment on the fund's timing ability based on the result |
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