Quantile forecast combination using stochastic dominance

Pinar, Mehmet, Stengos, Thanasis and Yazgan, M Ege (2017) Quantile forecast combination using stochastic dominance. Empirical Economics. ISSN 0377-7332 DOI https://doi.org/10.1007/s00181-017-1343-1

[img]
Preview
Text
Accepted version - Empirical Economics.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (898kB) | Preview

Abstract

This paper derives optimal forecast combinations based on stochastic dominance efficiency (SDE) analysis with differential forecast weights for different quantiles of forecast error distribution. For the optimal forecast combination, SDE will minimize the cumulative density functions of the levels of loss at different quantiles of the forecast error distribution by combining different time-series model-based forecasts. Using two exchange rate series on weekly data for the Japanese yen/US dollar and US dollar/Great Britain pound, we find that the optimal forecast combinations with SDE weights perform better than different forecast selection and combination methods for the majority of the cases at different quantiles of the error distribution. However, there are also some very few cases where some other forecast selection and combination model performs equally well at some quantiles of the forecast error distribution. Different forecasting period and quadratic loss function are used to obtain optimal forecast combinations, and results are robust to these choices. The out-of sample performance of the SDE forecast combinations is also better than that of the other forecast selection and combination models we considered.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Business and Management
Date Deposited: 19 Oct 2017 10:53
URI: http://repository.edgehill.ac.uk/id/eprint/9714

Archive staff only

Item control page Item control page