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  • 标题:International Linkages of the Indian Commodity Futures Markets
  • 本地全文:下载
  • 作者:Brajesh Kumar ; Ajay Pandey
  • 期刊名称:Modern Economy
  • 印刷版ISSN:2152-7245
  • 电子版ISSN:2152-7261
  • 出版年度:2011
  • 卷号:2
  • 期号:3
  • 页码:213-227
  • DOI:10.4236/me.2011.23027
  • 出版社:Scientific Research Publishing
  • 摘要:This paper investigates the cross market linkages of Indian commodity futures for nine commodities with futures markets outside India. These commodities range from highly tradable commodities to less tradable agricultural commodities. We analyze the cross market linkages in terms of return and volatility spillovers. The nine commodities consist of two agricultural commodities: Soybean, and Corn, three metals: Aluminum, Copper and Zinc, two precious metals: Gold and Silver, and two energy commodities: Crude oil and Natural gas. Return spillover is investigated through Johansen’s cointegration test, error correction model, Granger causality test and variance decomposition techniques. We apply Bivariate GARCH model (BEKK) to investtigate volatility spillover between India and other World markets. We find that futures prices of agricultural commodities traded at National Commodity Derivatives Exchange, India (NCDEX) and Chicago Board of Trade (CBOT), prices of precious metals traded at Multi Commodity Exchange, India (MCX) and NYMEX, prices of industrial metals traded at MCX and the London Metal Exchange (LME) and prices of energy commodities traded at MCX and NYMEX are cointegrated. In case of commodities, it is found that world markets have bigger (unidirectional) impact on Indian markets. In bivariate model, we found bi-directional return spillover between MCX and LME markets. However, effect of LME on MCX is stronger than the effect of MCX on LME. Results of return and volatility spillovers indicate that the Indian commodity futures markets function as a satellite market and assimilate information from the world market.
  • 关键词:International Linkages; Commodity Futures Markets; Return Spillover; Volatility Spillover; Variance Decomposition Techniques; BEKK
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