方法对比
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| Pesaran-Timmermann 方向性预测准确性检验× | Wald-Wolfowitz 游程检验× | |
|---|---|---|
| 领域≠ | 计量经济学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1992 | 1940 |
| 提出者≠ | M. Hashem Pesaran & Allan Timmermann | Abraham Wald & Jacob Wolfowitz |
| 类型≠ | Nonparametric one-sided test | Nonparametric randomness test |
| 开创性文献≠ | Pesaran, M. H., & Timmermann, A. (1992). A simple nonparametric test of predictive performance. Journal of Business & Economic Statistics, 10(4), 461–465. DOI ↗ | Wald, A. & Wolfowitz, J. (1940). On a test whether two samples are from the same population. Annals of Mathematical Statistics, 11(2), 147–162. DOI ↗ |
| 别名≠ | PT Test, Directional Accuracy Test, Nonparametric Predictive Performance Test, Pesaran-Timmermann Yön Testi | Wald-Wolfowitz test, runs test for randomness, Runs Testi (Wald-Wolfowitz) |
| 相关≠ | 3 | 5 |
| 摘要≠ | 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 Wald-Wolfowitz runs test is a nonparametric hypothesis test that determines whether a sequence of observations — coded as a series of binary symbols — follows a random pattern or contains systematic structure. Introduced by Abraham Wald and Jacob Wolfowitz in 1940, the test counts the number of uninterrupted runs of identical symbols and asks whether that count is consistent with random arrangement. |
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