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It is not a "basic question", If I am correct : First you estimate your model on the return series and obtains parameters. You must estimate your model in such a way your obtain one-step ahead errors (that I will call computed errors in what follow) and associated time-serie mean and variance forecast values : $\hat{\mu_{t}}$ and $ \hat{\sigma_{t}^{2}}$ ...

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