石油反击战:趋势因素与汇率

IF 1.2 3区 经济学 Q3 BUSINESS, FINANCE Journal of Money Credit and Banking Pub Date : 2024-03-26 DOI:10.1111/jmcb.13146
LIYAN HAN, YANG XU, QUNZI ZHANG, XIAONENG ZHU
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引用次数: 0

摘要

国际金融领域一个众所周知的难题是,在预测汇率收益时,现有预测模型的表现往往不如天真的随机漫步(RW)模型。在本文中,我们构建了一个石油趋势因子,其表现优于随机漫步模型。更重要的是,基于石油趋势的动态交易策略可以产生更优越的经济价值。这一结果既适用于发达市场,也适用于新兴市场;既适用于不同的预测期限,也适用于不同的趋势因子规格,还适用于不同的货币。最后,我们探讨了石油趋势因子强大预测能力的经济联系。
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Oil Strikes Back: Trend Factors and Exchange Rates
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.
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来源期刊
CiteScore
2.90
自引率
6.70%
发文量
98
期刊最新文献
Issue Information Issue Information Measuring the Impact of Unconventional Monetary Policies on the U.S. Banking and Bond Markets at the Lower Bound Market Regulation, Cycles, and Growth Dynamics in a Monetary Union Exchange Rates and Prices in the Netherlands and Britain over the Past Four Centuries
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