PurposeThis paper aims to propose an alternative method to measure idiosyncratic volatility and test whether the idiosyncratic volatility puzzle holds in commodity futures markets.Design/methodology/approachThis paper proposes a partially new measure of idiosyncratic volatility in commodity futures markets based on the Schwartz and Smith (2000) short-term/long-term model. This model enables us to capture systematic risks of commodity futures markets in a parsimonious way.FindingsUsing a sample of futures contracts for 20 commodities from 1973 to 2022, this paper demonstrates that idiosyncratic volatility is more significant than systematic volatility in commodity futures markets, and that the idiosyncratic volatility puzzle does not hold in these markets. This paper also performs robustness tests to investigate whether the puzzle holds during subsample periods when commodity markets are more volatile and find consistent results. This study highlights the differences between commodity futures markets and equity markets and emphasizes the importance of investigating idiosyncratic volatility in commodity futures markets.Originality/valueThe contributions of this paper are threefold. First, this paper contributes to the literature by focusing on the idiosyncratic volatility of commodity futures returns. Second, this paper constructs a partially new measure of idiosyncratic volatility in commodity futures markets. Finally, this paper also contributes to the literature on the idiosyncratic volatility puzzle and demonstrates that the puzzle may not exist in commodity futures markets.
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Seattle Univ, Albers Sch Business & Econ, 901 12th Ave, Seattle, WA 98122 USASeattle Univ, Albers Sch Business & Econ, 901 12th Ave, Seattle, WA 98122 USA
Duanmu, Jun
Hur, Jungshik
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Louisiana Tech Univ, Coll Business, 201 Mayfield Ave, Ruston, LA 71272 USASeattle Univ, Albers Sch Business & Econ, 901 12th Ave, Seattle, WA 98122 USA
Hur, Jungshik
Li, Yongjia
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Boise State Univ, Coll Business & Econ, 1910 Univ Dr, Boise, ID 83725 USASeattle Univ, Albers Sch Business & Econ, 901 12th Ave, Seattle, WA 98122 USA
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Zhejiang Univ, Sch Econ, Hangzhou, Peoples R China
Zhejiang Univ, Acad Financial Res, Hangzhou, Peoples R ChinaZhejiang Univ, Sch Econ, Hangzhou, Peoples R China
Luo, Xingguo
Lin, Yuting
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Zhejiang Univ, Sch Econ, Hangzhou, Peoples R China
Zhejiang Univ, Inst Fiscal Big Data & Policy, Hangzhou, Peoples R ChinaZhejiang Univ, Sch Econ, Hangzhou, Peoples R China
Lin, Yuting
Yu, Xiaoli
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Zhejiang Univ, Sch Econ, Hangzhou, Peoples R China
Zhejiang Univ, Inst Fiscal Big Data & Policy, Hangzhou, Peoples R ChinaZhejiang Univ, Sch Econ, Hangzhou, Peoples R China
Yu, Xiaoli
He, Feng
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Tianjin Univ Finance & Econ, Sch Finance, 22 Zhujiang Rd, Tianjin, Peoples R China
Lab Fintech & Risk Management, Tianjin, Peoples R ChinaZhejiang Univ, Sch Econ, Hangzhou, Peoples R China
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Univ Toronto, Rotman Sch Management, Toronto, ON, Canada
Copenhagen Business Sch, Copenhagen, Denmark
Ctr Res Econometr Anal Time Series CREATES, Aarhus, DenmarkUniv Toronto, Rotman Sch Management, Toronto, ON, Canada
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Chinese Univ Hong Kong, CUHK Business Sch, Dept Finance, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, CUHK Business Sch, Dept Finance, Hong Kong, Peoples R China
Cao, Jie
Chordia, Tarun
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Emory Univ, Goizueta Business Sch, Atlanta, GA 30322 USAChinese Univ Hong Kong, CUHK Business Sch, Dept Finance, Hong Kong, Peoples R China
Chordia, Tarun
Zhan, Xintong
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Chinese Univ Hong Kong, CUHK Business Sch, Dept Finance, Hong Kong, Peoples R China
Fudan Univ, Sch Management, Shanghai, Peoples R ChinaChinese Univ Hong Kong, CUHK Business Sch, Dept Finance, Hong Kong, Peoples R China