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Oil Strikes Back: Trend Factors and Exchange Rates

  • Shandong University
  • Shanghai University of Finance and Economics

科研成果: 期刊稿件文章同行评审

摘要

A 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.

源语言英语
页(从-至)141-181
页数41
期刊Journal of Money, Credit and Banking
58
1
DOI
出版状态已出版 - 2月 2026

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