Oil Strikes Back: Trend Factors and Exchange Rates

Author:

HAN LIYANORCID,XU YANGORCID,ZHANG QUNZIORCID,ZHU XIAONENGORCID

Abstract

AbstractA well‐known puzzle in international finance is that, to predict exchange rate returns, existing predictive models often perform worse than the naive random walk (RW) model. In this paper, we construct an oil trend factor which performs better than the RW model. More importantly, an oil‐trend‐based dynamic trading strategy can generate superior economic values. This result holds in both developed and emerging markets, with different forecasting horizons, with different specifications of trend factors, and across different currencies. Finally, we explore the economic link for the powerful predictability of the oil trend factor.

Funder

National Natural Science Foundation of China

Shanghai University of Finance and Economics

National Key Research and Development Program of China

Publisher

Wiley

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