The paper is an attempt to assess the Indian agricultural commodity futures market in terms of price discovery, hedging efficiency, and volatility. Cointegration test, Granger causality test, and vector error correction (VEC) model, ordinary least squares (OLS) regression, exponential generalised autoregressive conditional heteroskedasticity (EGARCH) model, value -at-risk (VaR) model are employed to achieve the objectives of the study. It is observed that the spot market leads the futures market. The lead-lag relationship varies from commodity to commodity. Additionally, downside risk exists in both the markets, and volatility is transmitted from the spot market to the futures market. The agricultural commodity futures market is found to lack hedging efficiency. (C) 2021 Published by Elsevier Ltd on behalf of Indian Institute of Management Bangalore.
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Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
NBER, Cambridge, MA 02138 USASimon Fraser Univ, Burnaby, BC V5A 1S6, Canada
Jacks, David S.
O'Rourke, Kevin H.
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NBER, Cambridge, MA 02138 USA
Trinity Coll Dublin, Dublin, IrelandSimon Fraser Univ, Burnaby, BC V5A 1S6, Canada
O'Rourke, Kevin H.
Williamson, Jeffrey G.
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NBER, Cambridge, MA 02138 USA
Harvard Univ, Cambridge, MA 02138 USA
Univ Wisconsin, Madison, WI 53706 USASimon Fraser Univ, Burnaby, BC V5A 1S6, Canada
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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
Jump, Jeff
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Meister Cheese & Muscoda Prot Prod, Muscoda, WI USAUniv Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA
Jump, Jeff
Yu, Linda
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Utah Tech Univ, Coll Business, St George, UT USAUniv Wisconsin Whitewater, Dept Finance & Business Law, Whitewater, WI USA