印度商品市场的效率:基于NCDEX的农产品衍生品交易研究

G. Kaur, D. Rao
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引用次数: 15

摘要

自2003年允许商品“期货”交易以来,印度的商品衍生品市场出现了惊人的增长。虽然自2003年推出以来,商品期货交易量呈指数级增长,但由于价格上涨,2008-2009年期货市场的运作受到了密切关注,期货市场在稳定现货价格方面的作用被广泛讨论。该研究旨在测试有效市场假说在新兴商品市场背景下的弱形式-国家商品衍生品交易所(NCDEX),这被认为是印度主要的商品衍生品市场。该研究考虑了在NCDEX交易的四种农产品在13个月期间的每日现货和期货价格(期货合约在2008年7月至2009年7月期间开始和到期)。被选中的四种商品是胡椒、精炼大豆油、瓜尔籽和加纳,因为它们占NCDEX农产品衍生品交易价值的近三分之二。27 .在研究期间分析了上述四种商品的期货合约。本文采用自相关检验和Run检验对农产品市场效率进行了检验。已经观察到,滞后系数在开始时很高,随着滞后的增加,系数继续下降。然而,自相关系数值的下降幅度不大。这可能表明,在确定未来价格方面,嵌入较长滞后期的信息与嵌入较短滞后期的信息具有同样的影响力。自相关和运行检验的结果表明,现货和期货价格都是弱有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency of Indian Commodities Market: A Study of Agricultural Commodity Derivatives Traded on NCDEX
Since commodity “futures” trading was permitted in 2003, the commodity derivative market in India has witnessed phenomenal growth. Though the volume of commodity futures trade increased exponentially since its launch in 2003, the functioning of the futures market came under scrutiny during 2008-2009 due to price rise and the role of futures market in stabilizing spot prices was widely discussed. The study aims at testing the weak form of Efficient Market Hypothesis in the context of an emerging commodity market - National Commodity Derivatives Exchange (NCDEX), which is considered as the prime commodity derivatives market in India. The study considered daily spot and futures prices of four agricultural commodities traded on NCDEX over a 13 month period (the futures contracts originating and expiring during the period July 2008 to July 2009). The four commodities chosen are Pepper, Refined Soya Oil, Guar seed and Chana as they account for almost two-thirds of the value of agricultural commodity derivatives traded on NCDEX. 27 Future Contracts for the above four commodities were analyzed for the period of study. Autocorrelation and Run test have been used to test the efficiency of the agricultural commodity market. It has been observed that the coefficients are high for lags in the beginning and the values continue to fall as the lags increase. However, the fall in values of autocorrelation coefficients is not much. This may suggest that information embedded in longer period of lags would be as influential in determining future price as that of information embedded in short lag periods. The results of Autocorrelation and Run test indicate that both spot and futures prices are weak form efficient.
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