How to calculate the correlation coefficient of two independent random walks to demonstrate spurious regression?

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I heard of non-stationary time series could result in spurious regression, so I want to know, as sample size goes to infinity, how to calculate the correlation coefficient of two descrete independent random walks, each step of which follows an I.I.D standard normal distribution.

Is it the correct way to demonstrate spurious regression?

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Hint: What is the covariance of 2 independent random variables?