'Indian Stock Market Volatility': A Study of Inter-linkages and Spillover Effects. (August 2019)

• Record Type: Journal Article
• Authors: (Pal), Suparna Nandy; Chattopadhyay, Arup Kr.
• Is Part Of: Journal of emerging market finance. Volume 18:Number 2(2019:Apr.)Supplement
• Page Start: S183
• Page End: S212
• Publication Date: 2019-08
• Subjects: Volatility spillover -- asymmetric volatility spillover -- VAR -- Granger causality -- impulse response function -- variance decomposition -- DCC-MV-TARCH (1, 1); Banks and banking -- Developing countries -- Periodicals; Financial institutions -- Developing countries -- Periodicals; Securities -- Developing countries -- Periodicals; 332.09172405
• DOI: 10.1177/0972652719846321
• Languages: English
• ISSNs: 0972-6527

Abstract

The article attempts to examine interdependence between Indian stock market and other domestic financial markets, namely, foreign exchange market, bullion market, money market, and also Foreign Institutional Investor (FII) trade and foreign stock markets comprising one regional stock market represented by Nikkei of Japan and other stock market for the rest of the world represented by Standard & Poor's (S&P) 500 of the USA. Attempts are also made to examine asymmetric volatility spillover, first, between the Indian stock market and other domestic financial markets and second, between the Indian stock market and global stock markets (represented by Nikkei and S&P 500) along with the foreign exchange market. To measure linear interdependence among multiple time series of financial markets multivariate Vector Autoregression (VAR) analysis, Granger causality test, impulse response function and variance decomposition techniques are used. For estima-ting the volatility spillover among the aforesaid markets Dynamic Conditional Correlation-Multivriate-Threshold Autoregressive Condi-tional Heteroscedastic (DCC-MV-TARCH) (1, 1) model is applied on daily data for a quite long period of time from 01 April 1996 to 31 March 2012. The results of multi­variate VAR analysis, Granger causality test, variance decomposition analysis and impulse response function estimation establish significant interdependence between domestic stock market and different other financial markets in India and abroad. The results of DCC-MV-TARCH (1, 1) model estimation further show signi- ficant asymmetric volatility spillover between the domestic stock market and the foreign exchange market and also from the domestic stock market to bullion market and changes in gross volume of FII trade. We also find (a) both way asymmetric volatility spillover between the domestic stock market and the Asian stock market and (b) its unidirectional movement from the world stock market to the domestic stock market. The results of the study may help market regulators in setting regulatory policies considering the inter-linkages and pattern of volatility spillovers across different financial markets. JEL Classification: G15, G17