Do Macroeconomic Variables Impact the Indian Stock Market?

K. Islam, M. Habib
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引用次数: 7

Abstract

This paper is intended to study the impact of various macroeconomic variables on Indian stock market. Based on the Arbitrage Pricing Theory (APT) propounded by Ross in 1976 and various other studies, a number of macroeconomic variables including, inflation, industrial production, exchange rate, money supply, interest rate, and oil price have been identified to have a significant impact on the stock market. We have applied the multivariate extension of the classical linear regression model computed on Ordinary Least Squares method and Granger Causality test to re-establish the relationship between macroeconomic variables and stock returns over a period of 10 years from 2005 to 2015 using monthly observations. The results of this study show that only exchange rate has a significant negative impact on stock returns. The other macroeconomic variables are not significantly affecting stock returns; however, their impact is in accordance with the economic theory. The Granger Causality test reveals absence of any causal relationship between stock returns and macroeconomic variables, except in case of oil prices, where we find a unidirectional causal relationship running from stock returns to oil prices. However, the Granger Causality results should not be taken in the conventional meaning of causality, but results merely identifying precedence.
宏观经济变量影响印度股市吗?
本文旨在研究各种宏观经济变量对印度股市的影响。根据Ross在1976年提出的套利定价理论(Arbitrage Pricing Theory, APT)和其他各种研究,许多宏观经济变量,包括通货膨胀、工业生产、汇率、货币供应、利率和石油价格,已经确定对股票市场有显著影响。本文对经典线性回归模型进行多元扩展,运用普通最小二乘法和格兰杰因果检验,利用月度观测数据,重新建立了2005 - 2015年10年间宏观经济变量与股票收益之间的关系。本研究结果表明,只有汇率对股票收益有显著的负向影响。其他宏观经济变量对股票收益影响不显著;然而,它们的影响是符合经济理论的。格兰杰因果检验显示,股票收益与宏观经济变量之间不存在任何因果关系,除了油价,我们发现股票收益与油价之间存在单向因果关系。然而,格兰杰因果关系的结果不应该被理解为传统意义上的因果关系,而应该是仅仅识别优先权的结果。
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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