PMM2 delivers 37-47% variance reduction over classical ARIMA estimators for asymmetric innovations in Monte Carlo tests while matching OLS performance under Gaussian errors.
Kunchenko.Polynomial Parameter Estimations of Close to Gaussian Random Variables
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Applying the Polynomial Maximization Method to Estimate ARIMA Models with Asymmetric Non-Gaussian Innovations
PMM2 delivers 37-47% variance reduction over classical ARIMA estimators for asymmetric innovations in Monte Carlo tests while matching OLS performance under Gaussian errors.