Ranking probabilistic forecasting models with different loss functions

Autor: Serafin, Tomasz, Uniejewski, Bartosz
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: In 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.
Comment: arXiv admin note: substantial text overlap with arXiv:2302.00411
Databáze: arXiv