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首页> 外文期刊>Journal of Stock & Forex Trading >An Impact of Macroeconomic Variables on the functioning of Indian Stock Market: A Study of Manufacturing Firms of BSE 500
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An Impact of Macroeconomic Variables on the functioning of Indian Stock Market: A Study of Manufacturing Firms of BSE 500

机译:宏观经济变量对印度股票市场运作的影响:BSE 500制造公司的研究

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The study investigated the impact of macroeconomic variables on the functioning of Indian Stock Market., The monthly data of ten macroeconomic variables, namely Broad Money, Call Money Rate, Crude Oil Price, Exchange Rate, Foreign Exchange Reserve, Foreign Institutional Investors, Gross Fiscal Deficit, Index of Industrial Production, Inflation Rate and Trade Balance and one stock market index i.e. BSE 500 have been used to attain the objectives of the research. The Augmented Dickey Fuller (ADF) Test, Multiple Regression and Granger Causality Tests were employed to find out the results. It was found that Foreign Institutional Investors became stationary at level, Call Money Rate, Crude Oil Price, Exchange Rate, Foreign Exchange Reserve, Gross Fiscal Deficit, Inflation Rate and Trade Balance at Ist difference and Broad Money and Index of Industrial Production at IInd difference. This stationary data has been applied to find out the significant macroeconomic variables through multiple regression technique. The two macroeconomic variables Foreign Institutional Investors and Exchange Rate were found significant. Granger causality test was used to check the causality relationship between these two significant variables and average closing prices of manufacturing firms of BSE 500. It has been observed that these variables have no relationship with closing prices of BSE 500 manufacturing firms. The study also revealed that the Indian Stock Market was a weak form efficient because no relationship was found amongst the variables during the study period.
机译:该研究调查了宏观经济变量对印度股票市场运作的影响。,十个宏观经济变量的月度数据,即广义货币,看涨货币利率,原油价格,汇率,外汇储备,外国机构投资者,总财政赤字,工业生产指数,通货膨胀率和贸易平衡以及一个股票市场指数(即BSE 500)已被用来达到研究目的。使用增强迪基·富勒(ADF)检验,多元回归和Granger因果检验来找出结果。结果发现,外国机构投资者的水平处于稳定状态,看涨利率,原油价格,汇率,外汇储备,财政赤字,通货膨胀率和贸易差额处于第一水平,广义货币和工业生产指数处于第二水平。 。该固定数据已用于通过多元回归技术找出重要的宏观经济变量。发现两个宏观经济变量外国机构投资者和汇率显着。格兰杰因果关系检验用于检验这两个重要变量与BSE 500制造商的平均收盘价之间的因果关系。已经观察到,这些变量与BSE 500制造商的收盘价没有关系。该研究还表明,印度股市是弱势形态,因为在研究期间未发现变量之间的关系。

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