Return comovement and price volatility: a study of the US dairy commodity futures markets
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作者:
Fan, Zaifeng
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Univ Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA
Univ Wisconsin Whitewater, Dept Finance & Business Law, 800 Main St, Whitewater, WI 53190 USAUniv Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA
Fan, Zaifeng
[1
,4
]
Jump, Jeff
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机构:
Meister Cheese & Muscoda Prot Prod, Muscoda, WI USAUniv Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA
Jump, Jeff
[2
]
Yu, Linda
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Utah Tech Univ, Coll Business, St George, UT USAUniv Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA
Yu, Linda
[3
]
机构:
[1] Univ Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA
[2] Meister Cheese & Muscoda Prot Prod, Muscoda, WI USA
[3] Utah Tech Univ, Coll Business, St George, UT USA
[4] Univ Wisconsin Whitewater, Dept Finance & Business Law, 800 Main St, Whitewater, WI 53190 USA
US dairy markets have become increasingly volatile, which presents a challenge for dairy farmers and industry participants to manage risk, disturbing the stability of the industry. However, the study of dairy volatility is limited. This article investigates the return comovement and price volatility of four major US dairy commodities: butter, cheese, Class III milk, and dry whey. We also investigate the COVID-19 pandemic's impact on dairy volatility. Our results show that dairy commodities returns and volatilities are positively correlated, but only cheese and Class III milk correlate strongly. The volatilities of butter, cheese, and Class III milk are impacted comparably by return shocks and past volatility. However, dry whey volatility is predominantly driven by past volatility. Using multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) models, we demonstrate that return comovements are time-varying and volatilities are interdependent among dairy commodities. Volatility spillover effects are observed among dairy commodities, especially between dry whey and cheese. The COVID-19 pandemic amplifies dairy volatilities and spillover effects, with a more substantial impact on cheese and milk. Interestingly, dry whey experiences the least impact and performs better during the pandemic. Our results aid market participants in risk management and inform policymakers' decision-making processes.
机构:
Birla Inst Technol & Sci, Dept Econ, Pilani KK Birla Goa Campus, Zuarinagar, IndiaBirla Inst Technol & Sci, Dept Econ, Pilani KK Birla Goa Campus, Zuarinagar, India
Manogna, R. L.
Mishra, Aswini Kumar
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Birla Inst Technol & Sci, Dept Econ, Pilani KK Birla Goa Campus, Zuarinagar, IndiaBirla Inst Technol & Sci, Dept Econ, Pilani KK Birla Goa Campus, Zuarinagar, India
机构:
Department of Finance, College of Business Administration, Kent State University, P.O. Box 5190, Kent, 44242, OHDepartment of Finance, College of Business Administration, Kent State University, P.O. Box 5190, Kent, 44242, OH
Ao J.
Chen J.
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Department of Economics, Illinois State University, Campus Box 4200, Normal, 61790, ILDepartment of Finance, College of Business Administration, Kent State University, P.O. Box 5190, Kent, 44242, OH