Realized skewness of oil price returns and the short-term predictability for exchange rate
Yaojie Zhang,
Yuqing Feng and
Chaojian Wei
Quantitative Finance, 2025, vol. 25, issue 7, 1031-1046
Abstract:
When predicting exchange rate returns, existing models find it difficult to defeat naive random walk models. We propose the realized skewness of oil returns to predict exchange rates for nine countries. The results show that it is statistically and economically more effective than the random walk model. Moreover, realized skewness can offer complementary predictive information about what is previously known about oil prices and oil volatility. It is noteworthy that the superior predictability of realized skewness is linked to inflation rates, behavioral bias, and risk transmission channels. Furthermore, the predictive power of realized skewness for exchange rates stems from the jump and drift components.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/14697688.2025.2522177 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:quantf:v:25:y:2025:i:7:p:1031-1046
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20
DOI: 10.1080/14697688.2025.2522177
Access Statistics for this article
Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral
More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().