Price Discovery and Volatility Spillovers in Indian Spot-Futures Commodity Market

Srinivasan P

MPRA Paper from University Library of Munich, Germany

Abstract: The present paper examines the price discovery process and volatility spillovers in Indian spot-futures commodity markets through Johansen cointegration, Vector Error Correction Model (VECM) and the bivariate EGARCH model. The study uses four futures and spot indices of the Multi Commodity Exchange of India (MCX), representing relevant sectors like agriculture (MCXAGRI), energy (MCXENERGY), metal (MCXMETAL), and the composite index of metals, energy and agrocommodities (MCXCOMDEX). Johansen cointegration test confirms the presence of long-term equilibrium relationships between the futures price and its underlying spot price of the commodity markets.The VECM shows that commodity spot markets of MCXCOMDEX, MCXAGRI, MCXENERGY and MCXMETAL play a dominant role and serve as effective price discovery vehicle, implying that there is a flow of information from spot to futures commodity markets. Besides, the bivariate EGARCH model indicates that although bidirectional volatility spillover persists, the volatility spillovers from spot to the futures market are dominant in case of all MCX commodity markets.

Keywords: Price Discovery; Volatility Spillover; VECM; Bivariate GARCH; Commodity Market (search for similar items in EconPapers)
JEL-codes: C58 G11 G13 (search for similar items in EconPapers)
Date: 2011-05-17
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Citations: View citations in EconPapers (8)

Published in The IUP Journal of Behavioral Finance 1.9(2012): pp. 70-85

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