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A window is a fixed-length subset of consecutive observations of a time series. The window is moved along the time series at a constant rate. AKA "rolling window".

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Impact of window size on estimated volatility using SMA or EWMA

If volatility was constant, then the impact would have been negligible. Unfortunately (?) volatility is time varying. If by SMA you mean simple moving average then the impact is that once the window m …
Aksakal's user avatar
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2 votes

Root-mean-square error when having multiple prediction horizons

Averaging errors over different forecast horizons makes no sense in my opinion. Suppose, you produced a set of dynamic forecasts $\hat y(t+h|I_t)$ where $t$ is the last actual observation used for a f …
Aksakal's user avatar
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0 votes

Selecting ARIMA Order using Rolling Forecast

You can do this, but be aware that it's not that much different from inferring the lags from in-sample fit procedures such as ACF/PACF analysis. Why? Because you're using the forecast (supposedly out …
Aksakal's user avatar
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1 vote
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ARIMA accuracy measures, rolling forecast

If I understood your main question it is about why not use cross-validation performance metrics for model selection? The short answer is that by doing so you would erase the distinction between CV and …
Aksakal's user avatar
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