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benniewang · 2019年11月08日

问一道题:NO.PZ201709270100000404

* 问题详情,请 查看题干

问题如下:

4. Martinez’s Conclusion 1 is:

选项:

A.

correct.

B.

incorrect because the mean and variance of WTI oil prices are not constant over time.

C.

incorrect because the Durbin–Watson statistic of the AR(2) model is greater than 1.75.

解释:

B is correct. There are three requirements for a time series to be covariance stationary. First, the expected value of the time series must be constant and finite in all periods. Second, the variance of the time series must be constant and finite in all periods. Third, the covariance of the time series with itself for a fixed number of periods in the past or future must be constant and finite in all periods. Martinez concludes that the mean and variance of the time series of WTI oil prices are not constant over time. Therefore, the time series is not covariance stationary.

the mean and variance of the time series of WTI oil prices are not constant over time.

---这句话从哪个指标可以看出来?

1 个答案

星星_品职助教 · 2019年11月08日

同学你好,

这句话是题干中直接告诉的,在题目前面那个 “Month 181”之后

 After reviewing the time-series data, Martinez determines that the mean and variance of the time series of oil prices are not constant over time. 

所以就不是covariance stationary。

终于不是公式了~加油。




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NO.PZ201709270100000404问题如下 4. Martinez’s Conclusion 1 is: correct. incorrebecause the meanvarianof WTI oil prices are not constant over time. C.incorrebecause the rbin–Watson statistic of the AR(2) mol is greater th1.75. B is correct. There are three requirements for a time series to covarianstationary. First, the expectevalue of the time series must constant anfinite in all perio. Secon the varianof the time series must constant anfinite in all perio. Thir the covarianof the time series with itself for a fixenumber of perio in the past or future must constant anfinite in all perio. Martinez conclus ththe meanvarianof the time series of WTI oil prices are not constant over time. Therefore, the time series is not covarianstationary. 麻烦一下C,不太懂为啥不选它

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