Ranking probabilistic forecasting models with different loss functions

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Tác giả: Tomasz Serafin, Bartosz Uniejewski

Ngôn ngữ: eng

Ký hiệu phân loại: 519.7 Programming

Thông tin xuất bản: 2024

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 205112

Comment: arXiv admin note: substantial text overlap with arXiv:2302.00411In this study, we introduced various statistical performance metrics, based on the pinball loss and the empirical coverage, for the ranking of probabilistic forecasting models. We tested the ability of the proposed metrics to determine the top performing forecasting model and investigated the use of which metric corresponds to the highest average per-trade profit in the out-of-sample period. Our findings show that for the considered trading strategy, ranking the forecasting models according to the coverage of quantile forecasts used in the trading hours exhibits a superior economic performance.
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