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

机译:印度现货期货商品市场的价格发现和波动溢出效应

摘要

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.
机译:本文通过Johansen协整,矢量误差校正模型(VECM)和二元EGARCH模型,研究了印度现货期货商品市场中的价格发现过程和波动溢出。该研究使用了印度多商品交易所(MCX)的四个期货和现货指数,代表了相关部门,如农业(MCXAGRI),能源(MCXENERGY),金属(MCXMETAL)以及金属,能源和农产品的综合指数(MCXCOMDEX )。 Johansen协整检验证实了期货价格与其商品市场基础现货价格之间存在长期均衡关系。VECM表明,MCXCOMDEX,MCXAGRI,MCXENERGY和MCXMETAL的商品现货市场起着主导作用并充当有效价格发现工具,这意味着信息从现货流向期货商品市场。此外,双变量EGARCH模型表明,尽管双向波动溢出仍然存在,但在所有MCX商品市场中,从现货市场到期货市场的波动溢出仍然占主导地位。

著录项

  • 作者

    P. Srinivasan;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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