印度农产品市场的信息溢出效应

S. Singh, Mukesh Jain, Shoeba
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引用次数: 1

摘要

农业部门在印度经济中的作用是突出的,作为一个农业经济,拥有世界上第二高的人口。因此,该部门的效率是经济发展和增长的首要因素。本文试图考察2011-2019年期间豆蔻、粗棕榈油、棉花、薄荷油和卡帕五种农产品期货价格和现货价格的价格发现关系。采用Johansen协整检验、向量误差修正模型(vector error correction model, VECM)和Granger因果块外生性检验。我们发现,在考虑的农产品中建立了价格发现过程。在实现除豆蔻以外的所有商品的长期均衡方面,未来价格起着主导作用。因果关系对所有商品都有显著的报道,因为价格之间存在双向因果关系。研究建议,期货市场委员会应加强对市场的控制和监管,以确保这些商品市场的有效市场状况。本文试图对次贷危机后农产品市场的价格发现过程进行评估,这一过程被大多数研究者所忽视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information Spillover in Indian Agricultural Commodities Market
Role of agricultural sector in Indian economy is prominent, as being an agrarian economy and having the second highest population in the world. Thus, the efficiency of this sector is the foremost factor for development and growth of the economy. This article attempts to examine the price discovery relationship of future and spot prices of five agricultural commodities, namely cardamom, crude palm oil, cotton, mentha oil and kapas, during the period 2011–2019. Johansen’s co-integration test, vector error correction model (VECM) and Granger causality block exogeneity test were employed for the study. We found that price discovery process is established for agricultural commodities under consideration. Future prices act as a leader in achieving long-run equilibrium for all commodities except cardamom. Causality was significantly reported for all commodities, as bidirectional causality runs between the prices. The study suggests that Forward Market Commission should be empowered more to control and regulate the market, which will ensure the efficient market situations in these commodities’ market. Attempt was made to evaluate price discovery process in agricultural commodities market during post sub-prime crisis period, which was ignored by majority of researchers.
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