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no arch effect means constant variance in residuals=good=homoscedastic 1

an arch effect means the variance in residuals is not constant=bad=heteroscedastic 1

no autocorrelation no autocorrelation is a good indicator that the model has captured variance structure in the data which means that the model is a good fit 1

aic value aic is the quantified measure of model of good fit and simplicity 1

correlation ma(1) p1=a1=drift 1

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