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EVA · 2024年05月25日

请详细解释一下本题

* 问题详情,请 查看题干

NO.PZ202208300200000202

问题如下:

If Kamini is correct regarding the trailing P/E time series, the best forecast of next period’s trailing P/E is most likely to be the:

选项:

A.current period’s trailing P/E.

B.forecast derived from applying the AR(1) model depicted in Exhibit 1 to the data.

C.average P/E of the time series.

解释:

A is correct. If a time series is a random walk, the best forecast of xt that can be made in period t – 1 is xt–1. So, the best forecast of the next period’s trailing P/E is the current period’s trailing P/E.

B is incorrect because random walks are not covariance stationary, so AR(1) models are not appropriate.

C is incorrect because random walks have undefined mean-reverting levels. A mean-reverting process would allow for improved forecasts by incorporating the average value.

请详细解释本题,不太清楚

1 个答案

品职助教_七七 · 2024年05月25日

嗨,爱思考的PZer你好:


题目提到的Kamini的观点为:Kamini replies: “I’m convinced the P/E series based on trailing earnings truly is a random walk.”

对于random walk,方程为Xt=Xt-1 + 随机残差项。故对于当前PE的最好预测就是上一期的PE。可以直接选择A选项。


对于有完整答案解析的题目,提问时请具体描述不理解的问题,或答案解析中需要进一步讲解的地方。仅是重复的翻译答案解析是没有意义的。

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