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• W2890210324 abstract "This paper estimates the linear interdependencies between international crude oil prices and stock market indices of India using weekly data spanning from January 2010 to January 2017 in a vector autoregressive (VAR) framework. The time series used for the analysis are crude oil futures prices, nifty index, and BSE energy index. Augmented Dickey-Fuller and Philips-Perron unit root tests reveal that all the time series are non-stationary at level and stationary at first difference. Cointegration test reveals the absence of cointegrating factor i.e., absence of long run relationship. VAR model captures all the time series as endogenous variables and independent variables are studied at two lags. Result shows that the Energy Index is very well explained by the lagged values of crude oil futures prices, nifty index, and BSE energy Index. impulse response function reveals that crude oil prices are affected negatively when one standard deviation shocks are given to stock indices." @default.
• W2890210324 created "2018-09-27" @default.
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• W2890210324 date "2018-01-01" @default.
• W2890210324 modified "2023-09-24" @default.
• W2890210324 title "Relationship between Crude Oil Prices and Stock Market: Evidence from India" @default.
• W2890210324 hasPublicationYear "2018" @default.
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