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Shapley-value-based forecast combination

delete2024-08-07
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OA
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P
Philip Hans Franses *
J
Jiahui Zou
W
Wendun Wang
DOI:10.1002/for.3178delete
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Abstract

Abstract

En 中文
This paper puts forward a new and simple method to combine forecasts, which is particularly useful when the forecasts are strongly correlated. It is based on the Mincer Zarnowitz regression, and a subsequent determination using Shapley values of the weights of the forecasts in a new combination. For a stylized case, it is proved that such a Shapley-value-based combination improves upon an equal-weight combination. Simulation experiments and a detailed illustration show the merits of the Shapley-value-based forecast combination.
Keywords:
forecast combination
forecasting
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Journal

Journal of Forecasting cover
Journal of Forecasting
IF:
2.7
Papers:
2.3K
Citations:
3.0K

Organization

E
Erasmus University Rotterdam
Scholars:
4.6W
Papers: 4.0W
Citations: 2.4W
E
erasmus university rotterdam - excl erasmus mc
Scholars:
5.5K
Papers: 5.7K
Citations: 6