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| Test Pesaran-Timmermann precyzji predykcji kierunkowej× | Test Diebolda-Mariano na równość dokładności prognostycznej× | |
|---|---|---|
| Dziedzina | Ekonometria | Ekonometria |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1992 | 1995 |
| Twórca≠ | M. Hashem Pesaran & Allan Timmermann | Francis Diebold & Roberto Mariano |
| Typ≠ | Nonparametric one-sided test | Non-parametric forecast comparison test |
| Źródło pierwotne≠ | Pesaran, M. H., & Timmermann, A. (1992). A simple nonparametric test of predictive performance. Journal of Business & Economic Statistics, 10(4), 461–465. DOI ↗ | Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253–263. DOI ↗ |
| Inne nazwy | PT Test, Directional Accuracy Test, Nonparametric Predictive Performance Test, Pesaran-Timmermann Yön Testi | DM Test, Test of Equal Forecast Accuracy, Diebold-Mariano Forecast Comparison Test, Tahmin Doğruluğu Eşitliği Testi |
| Pokrewne | 3 | 3 |
| Podsumowanie≠ | Introduced by Pesaran and Timmermann (1992), the PT test is a nonparametric procedure that evaluates whether a forecasting model correctly predicts the direction (sign) of a target variable more often than would be expected by chance. It is widely used in financial econometrics and macroeconomic forecasting to assess the practical utility of a model beyond simple error metrics, particularly when the economic cost of getting the direction wrong is high. | The Diebold-Mariano (DM) test, introduced by Diebold and Mariano in 1995, is a widely used non-parametric procedure for formally comparing the predictive accuracy of two competing forecasting models. It evaluates whether the difference in forecast errors between two models is statistically significant, without requiring nested models or specific distributional assumptions about the forecasts, making it broadly applicable across economics, finance, and time-series analysis. |
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