Price Discovery and Unpredictability Spillover in Metal Commodity Market in India: An Empirical Study

Mehak, Ram Singh, Vyomkesh Bhatt
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Abstract

In the context of this study, an attempt was made to evaluate the long-term implications that this trading pattern will have on the Indian commodity market. Gold, silver, copper, zinc, lead, and nickel, together with their respective spot and futures market values over the course of three years (April 2019-March 2022), are factored into a variety of economic models for this purpose. This study used several distinct economic models in order to conduct an analysis of the pertinent purpose. This study looks at the efficiency and volatility of prices in India's commodity market using the Johansen Cointegration, VECM, and Granger Causality tests, as well as the EGARCH model for a subset of MCX commodities. According to the evidence, future commodity prices are expected to outperform spot market prices in terms of price competency and information availability. When it comes to metal commodities, the research findings reveal that the impacts of unpredictability spillover have been discovered to be particularly robust throughout futures and spot markets. Because fundraisers and market participants want to minimise the pricing risks associated with price volatility, the findings of the research contain some constructive suggestions for mitigating such risks. The most recent information is made available to investors through the use of futures contracts, which may frequently be executed considerably more swiftly than spot prices.
印度金属商品市场的价格发现与不可预测性溢出:实证研究
在本研究的背景下,试图评估这种贸易模式对印度商品市场的长期影响。金、银、铜、锌、铅和镍,以及它们在三年(2019年4月至2022年3月)期间的现货和期货市场价值,被纳入各种经济模型中。本研究使用了几种不同的经济模型,以便对相关目的进行分析。本研究使用约翰森协整检验、VECM检验和格兰杰因果检验,以及MCX商品子集的EGARCH模型,考察了印度商品市场价格的效率和波动性。根据证据,在价格竞争力和信息可用性方面,预计未来商品价格将优于现货市场价格。就金属商品而言,研究结果显示,不可预测性溢出效应在整个期货和现货市场的影响尤为强烈。由于筹资者和市场参与者希望最小化与价格波动相关的定价风险,因此研究结果包含了一些减轻此类风险的建设性建议。投资者可以通过使用期货合约获得最新的信息,而期货合约的执行速度往往比现货价格快得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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