Co-Integration and Causal Relationship Among Crude Oil Prices, Exchange Rate and Stock Market Performance: An Evidence From India

S. Shirodkar
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引用次数: 2

Abstract

This paper has made an attempt to evaluate the combined impact of crude oil prices and exchange rate on the performance of Indian stock market. As the impact of dollar nominated oil prices on stock prices may not be quite relevant for Indian context. Therefore, in this study WTI Crude oil prices per Dollars along with the USD/Rupee exchange rate would be more meaningful and relevant to understand the impact of oil prices on stock market by using monthly data from 2003 to 2016 for S&P CNX Nifty Index, WTI Crude oil prices per Barrel (Dollars) and Dollar/Rupee Exchange rate. All the series were found to be stationery at First difference. The Granger causality tests revealed that there exists a Bi directional causality between stock prices and exchange rates in the short run i.e. stock prices lead exchange rates in the short run, but result of Johansen cointegration suggested that there is no long run relationship between these two financial variables. The results of the Johansen cointegration test suggest absence of any long term relationship between WTI crude oil price, USD/Rupee exchange rate and stock prices in India. The result of forecast error variances suggested that USD/Rupee exchange rate is influenced by Stock market performance. The forecast error variances of USD/Rupee exchange rate is significantly explained by the value of Nifty. Results also indicate that the values of oil price and exchange rate are comparatively less exogenous than the Indian stock market. Particularly, the contribution of Stock market shocks to the USD/Rupee exchange rate is greater than that of WTI Crude oil price shocks in all the periods.
原油价格、汇率与股市表现的协整与因果关系:来自印度的证据
本文试图评估原油价格和汇率对印度股市表现的综合影响。由于以美元计价的油价对股价的影响可能与印度的情况不太相关。因此,在本研究中,使用2003 - 2016年s&p;P CNX Nifty指数、WTI原油每桶价格(美元)和美元/卢比汇率的月度数据来理解油价对股市的影响将更有意义和相关性。我们发现所有的系列都是文具。格兰杰因果检验表明,股票价格与汇率在短期内存在双向因果关系,即股票价格在短期内主导汇率,但约翰森协整结果表明,这两个金融变量之间不存在长期关系。johnson协整检验结果表明,WTI原油价格、美元/卢比汇率和印度股票价格之间不存在任何长期关系。预测误差方差的结果表明,美元/卢比汇率受到股市表现的影响。美元兑卢比汇率的预测误差方差可以用Nifty的值来解释。结果还表明,与印度股市相比,油价和汇率的外生影响相对较小。特别是在所有时期,股市震荡对美元/卢比汇率的贡献都大于WTI原油价格震荡。
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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