FRM真題每日一練,備考的你看過來!
在備考FRM中做大量的真題練習(xí)是很重要的,尤其是沖刺階段,考生需要做歷年來的真題,這個(gè)做題的過程不僅幫助自己鞏固相關(guān)知識(shí),還能做到查漏補(bǔ)缺的作用。下面是小編列舉的相關(guān)例題解析,備考的你看過來!
Nazik, a portfolio manager, claims to have consistently produced excessive returns (over and above the benchmark returns) 95% of the time due to her skill and not luck. To support her claim, she presents regression results based on 72 monthly observations as follows: alpha = 0.58%, standard error of alpha = 0.232% Would you reject the null hypothesis of true α = 0 and accept her claim of superior performance 95% of the time due to her skill?
A) t = 2.50; reject the null hypothesis; reject her claim.
B) t = 2.50; reject the null hypothesis; accept her claim.
C) t = 2.39; fail to reject the null hypothesis; accept her claim.
D) t = 2.39; reject the null hypothesis; accept her claim.

答案:B
解析:t = alpha / standard error of alpha t = 0.0058 / 0.00232 = 2.5 Since t is greater than 2, we reject the null hypothesis at 95% confidence level and accept her claim of producing skill-based superior performance.
Based upon 48 monthly returns, you estimate an actively managed portfolio alpha of 1.05% and a standard error of alpha of 0.14%. The portfolio manager wants to get due credit for producing positive alpha and believes that the probability of observing such a large alpha by chance is only 1%. Calculate the t-statistic, and state whether you would accept or reject the claim made by the portfolio manager based on the estimated t-value.
A) t-statistic: 7.5; Conclusion: Reject
B) t-statistic: 7.5; Conclusion:Accept
C) t-statistic: 10.8; Conclusion: Reject
D) t-statistic: 10.8; Conclusion:Accept
答案:B
解析:t-statistic = alpha/standard error of alpha = 1.05%/0.14% = 7.5 With a large sample of 48 and a high t-statistic, we can not reject the null hypothesis.
FRM考試的內(nèi)容就分享這么多,考生如果對(duì)FRM考試還有更多的疑問,可以文章評(píng)論一起學(xué)習(xí)探討!另外,有2022年全年備考日歷,想要的私信或者評(píng)論哦!