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Causal relationship between macro-economic variables and stock market: A case study for India

In this research paper, attempt has been made to explore the relation especially the causal relation between stock market index i.e. BSE Sensex and three key macro economic variables of Indian economy by using correlation, unit root stationarity tests and Granger causality test. Monthly data has bee...

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書目詳細資料
主要作者: Dharmendra Singh
格式: Journal Article
出版: Abhigyan 2011
主題:
LEADER 01646nam a22001337a 4500
999 |c 119811  |d 119811 
100 |a Dharmendra Singh  |9 46733 
245 |a Causal relationship between macro-economic variables and stock market: A case study for India 
260 |b Abhigyan  |c 2011 
300 |b Vol 29 No. 1 (April - June 2011) 
520 |a In this research paper, attempt has been made to explore the relation especially the causal relation between stock market index i.e. BSE Sensex and three key macro economic variables of Indian economy by using correlation, unit root stationarity tests and Granger causality test. Monthly data has been used from April,1995 to March, 2009 for all the variables, like, BSE Sensex, wholesale price index (WPI), index of industrial production(IIP) and exchange rate(Rs/$). Results showed that the stock market index, the industrial production index, exchange rate, and wholesale price index contained a unit root and were integrated of order one. Granger causality test was then employed. The Granger causality test indicated that IIP is the only variable having bilateral causal relationship with BSE Sensex. WPI is having strong correlation with Sensex but it is having unilateral causality with BSE Sensex. Therefore, it is concluded that, Indian stock market is approaching towards informational efficiency at least with respect to two macroeconomic variables, viz. exchange rate and inflation (WPI).  
650 |a GRANGER CASUALITY;  |a STATIONARY TEST;  |a MACROECONOMIC VARIABLES;  |a EFFICIENT MARKET HYPOTHESIS;  |a INDIAN ECONOMY  |9 46734 
942 |c JA 
952 |0 0  |1 0  |4 0  |7 0  |9 116566  |a MGUL  |b MGUL  |d 2016-11-28  |l 0  |r 2016-11-28  |w 2016-11-28  |y JA