Yahua Xu

Dr. Yahua Xu


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 August 2022 in Journal of Commodity Markets
Verified
Journal Article
Closed access
Hongwei ZhangHongwei Zhang
Hongwei Zhang
CJChen Jin
Chen Jin
EEElie ElBouri
Elie ElBouri
WGWang Gao
Wang Gao
YXYahua Xu
Yahua Xu

7 October 2022 in Energy
Verified
Journal Article
Closed access
EEElie ElBouri
Elie ElBouri
XLXiaojie Lei
Xiaojie Lei
YXYahua Xu
Yahua Xu
Hongwei ZhangHongwei Zhang
Hongwei Zhang


10 October 2020 in Journal of Futures Markets
Verified
Journal Article
Closed access
PDF file
TRTai‐Yong Roh
Tai‐Yong Roh
ATAlireza Tourani‐Rad
Alireza Tourani‐Rad
YXYahua Xu
Yahua Xu
YZYang Zhao
Yang Zhao

2 November 2018 in Journal of Futures Markets
Verified
Journal Article
Closed access
PDF file
JFJosé Da Fonseca
José Da Fonseca
YXYahua Xu
Yahua Xu

4 March 2020 in Applied Economics
Verified
Journal Article
Closed access
IIIvan Indriawan
Ivan Indriawan
DLDonald Lien
Donald Lien
TRTai-Yong Roh
Tai-Yong Roh
YXYahua Xu
Yahua Xu
Using exchange-traded fund (ETF) options data, we examine the predictive power of variance risk premium on returns of four commodities: crude oil, natural gas, gold and silver. We also analyze the predictive power of upside and downside variance risk premiums using a decomposition model conditional on the direction of the underlying market movement. We find that both the undecomposed and decomposed variance risk premiums are able to predict commodity prices. The decomposed variance risk premiums, however, outperform the undecomposed premium. The importance of upside and downside variance risk premiums differs across markets, related to hedging demand. In energy markets, both upside and downside premiums have strong predictive power, while in precious metal markets, only the upside premium is predictive.