Stationnarity of Residuals

in Time Series Analysis with Python / Examining the AR Model Residuals

i don't understand why stationnarity of residuals implies the model is a good fit, i understand that we're aiming to get a set of residuals containing a random walk, which is stationnary, but what if we get a stationnary process that isn't a random walk ?

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Stationnarity of Residuals

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