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一只可爱的猪 · 2021年04月28日

the number of daily VaR breaches over the last year is zero even though the portfolio has accumulated a substantial loss.

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NO.PZ201512181000007102

问题如下:

The number of Flusk’s VaR breaches most likely resulted from:

选项:

A.

using a standard normal distribution in the VaR model.

B.

using a 95% confidence interval instead of a 99% confidence interval.

C.

lower market volatility during the last year compared with the lookback period.

解释:

C is correct. Flusk experienced zero daily VaR breaches over the last year yet incurred a substantial loss. A limitation of VaR is its vulnerability to different volatility regimes. A portfolio might remain under its VaR limit every day but lose an amount approaching this limit each day. If market volatility during the last year is lower than in the lookback period, the portfolio could accumulate a substantial loss without technically breaching the VaR constraint.

A is incorrect because VaR was calculated using historical simulation, so the distribution used was based on actual historical changes in the key risk factors experienced during the lookback period. Thus, the distribution is not characterized using estimates of the mean return, the standard deviation, or the correlations among the risk factors in the portfolio. In contrast, the parametric method of estimating VaR generally assumes that the distribution of returns for the risk factors is normal.

B is incorrect because a specification with a higher confidence level will produce a higher VaR. If a 99% confidence interval was used to calculate historical VaR, the VaR would be larger (larger expected minimum loss). During the last year, none of Flusk’s losses were substantial enough to breach the 5% VaR number (95% confidence interval); therefore, if McKee used a 1% VaR (99% confidence interval), the number of VaR breaches would not change.

老师,这句话是什么意思,什么叫Var数量=0

1 个答案

星星_品职助教 · 2021年04月28日

同学你好,

这句话的意思是如果将得到的VaR值代入过去一年的历史数据去做回测,发现过去一年中,突破这个VaR值的天数是0天。

也就是说,计算出来的VaR值是95%置信区间下每天的最大损失为1.1m,将这个VaR代入过去一年的250个工作日,发现确实没有任何一天的单日损失超过1.1m。

所以导致“substantial loss”的原因是虽然每天没有超过最大损失,但是每天都有很多小损失,积少成多。