Determine as functions of sigma the values of the same


1. Let W be a normal (Gaussian) random variable with mean 0 and variance 1. Compute the values of the moments:

2. Let us now assume that W is normal with mean 0 and variance σ2. Determine (as functions of σ) the values of the same moments as before.

3. Let us assume that {Wt}t=0,...,N is a Gaussian white noise with variance σ2, and for each α ∈ R, let us define the time series {Xt}t=0,...,N by the formula:

Compute the mean, variance and auto-covariance functions of the time series {Xt}t=0,...,N . Is it stationary?

4. Obviously, Xt strongly depends upon Wt, however, find a value of a for which Wt and Xt are uncorrelated?

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Financial Econometrics: Determine as functions of sigma the values of the same
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