Volatility Spillover Among Sectoral Indices of the Indian and US Stock Markets

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Hema Saini
Dr. Dhiraj Sharma

Abstract

The main aim of this study is to empirically analyze the volatility spillover among the sectoral equity returns for Indian and US markets. Utilizing the Dynamic Conditional Correlation model, the paper extracts the time‐varying conditional correlations between the sector indices. The analysis of the DCC-GARCH model indicates a conditional correlation between the Indian and US stock markets. Furthermore, despite market volatility and a significant disruption caused by the COVID-19 crisis in 2019, the consistent presence of a positive correlation highlights the strong and lasting connection between Indian and foreign stock exchanges in the financial services, FMCG sector, and Healthcare sector. The fluctuation in conditional correlation coefficients over time showcases the evolving connectivity and volatility spillover effect between Indian and United Nations stock markets in the Information and Technology sector. The findings indicate that offering useful direction for risk management and the development of investment strategies in the face of uncertain and unstable market conditions is essential for understanding the continuous impact and interconnectedness of global financial markets.

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[1]
Hema Saini and Dr. Dhiraj Sharma , Trans., “Volatility Spillover Among Sectoral Indices of the Indian and US Stock Markets”, IJMH, vol. 11, no. 9, pp. 11–17, May 2025, doi: 10.35940/ijmh.G1801.11090525.
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