NO.PZ2022062755000006
问题如下:
A risk manager is backtesting a company’s 1-day 99.5% VaR model over a 10-year horizon at the 95%
confidence level. Assuming 250 trading days in a year and the daily returns are independently and identically
distributed, which of the following is closest to the maximum number of daily losses exceeding the 1-day
99.5% VaR in 10 years that is acceptable to conclude that the model is calibrated correctly?
选项:
A.19
B.25
C.35
D.39
解释:
中文解析:
考察backtesting VAR的公式:
p是尾部概率=0.5%
T是总共观察值=250*10=2500
z=1.96
代入数据即可得出x=19.4
取整=19
A is correct. The risk manager will reject the hypothesis that the model is correctly
calibrated if the number x of losses exceeding the VaR is such that:
where p represents the left tail level and is equal to 1-0.995, or 0.5%; and T is the number of observations = 250*10=2500. And z = 1.96 is the two-tail confidence level quantile, given a confidence level of 95%.
If
then, x = 19.4.
So, the maximum number of exceedances would be 19 to conclude that the model is
calibrated correctly.
如何判断什么时候是双尾什么时候是单尾