Dr. Jayanthi Sankaran
Well-Known Member
Hi David,
As referenced above, Question #4:
4) A sample of 25 money market funds shows an average return of 3.0% with standard deviation also of 3.0%. Your colleague Peter conducted a significance test of the following alternative hypothesis: the true (population) average return of such funds is GREATER THAN the risk-free rate (Rf ). He concludes that he can reject the null hypothesis with a confidence of 83.64% .i.e., there is a 16.36% chance (p value) that the true return is less than or equal to the risk-free rate. What is the risk-free rate (Rf ). (note: this requires look-up calculation)
Answer is d) 2.40%
The one-tailed t-stat that is associated with 16.36% with 24 degrees of freedom is 1.059 and not 1.00.
eg.TINV(16.36%,24) = - 1.4309 and not -1.00. Standard error of sample mean = 3.0%/SQRT(25) = 0.60%. Since t stat = 1.059 and not 1.00, (.03 -Rf )/0.60% = 1.059, such at Rf = 3.0% - 0.64% = 2.36% and not 2.40%. Although, this may be trivial, just wanted to point it out - I guess you have approximated it to 1.0 and -1.0 to make it simpler, because as degrees of freedom increases, the t distribution tends to a standard normal!
Thanks!
Jayanthi
As referenced above, Question #4:
4) A sample of 25 money market funds shows an average return of 3.0% with standard deviation also of 3.0%. Your colleague Peter conducted a significance test of the following alternative hypothesis: the true (population) average return of such funds is GREATER THAN the risk-free rate (Rf ). He concludes that he can reject the null hypothesis with a confidence of 83.64% .i.e., there is a 16.36% chance (p value) that the true return is less than or equal to the risk-free rate. What is the risk-free rate (Rf ). (note: this requires look-up calculation)
Answer is d) 2.40%
The one-tailed t-stat that is associated with 16.36% with 24 degrees of freedom is 1.059 and not 1.00.
eg.TINV(16.36%,24) = - 1.4309 and not -1.00. Standard error of sample mean = 3.0%/SQRT(25) = 0.60%. Since t stat = 1.059 and not 1.00, (.03 -Rf )/0.60% = 1.059, such at Rf = 3.0% - 0.64% = 2.36% and not 2.40%. Although, this may be trivial, just wanted to point it out - I guess you have approximated it to 1.0 and -1.0 to make it simpler, because as degrees of freedom increases, the t distribution tends to a standard normal!
Thanks!
Jayanthi
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