Exploring Asymmetric Volatility Spillovers among Major Bombay Stock Exchange Indices

This study examines the return and volatility characteristics of selected indices from the Bombay Stock Exchange (BSE), specifically focusing on the Greenex, Energy, Utility, and Healthcare indices, over ten years from April 1, 2014, to March 31, 2024. Employing Generalized Autoregressive Conditional Heteroskedasticity (GARCH) family models, including TGARCH and EGARCH, the research identifies significant volatility clustering, persistence, and leverage effects among the indices. The findings reveal unidirectional volatility transmission from the Energy sector index to Greenex, alongside bidirectional spillover effects between Greenex and Utility, Greenex and Healthcare, Energy and Utility, Energy and Healthcare, and Utility and Healthcare. This study addresses a gap in the literature regarding the interactions among indices related to environmental, public health, and public welfare. The insights gained from this analysis provide practical implications for investors, aiding in effective portfolio management and risk mitigation strategies in the context of evolving market dynamics.

Authors

Publication Details

Journal
PRAGATI Journal of Indian Economy
Published
2024-10-09
DOI
https://doi.org/10.17492/jpi.pragati.v11i2.1122407
Citations
4
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
4.52
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article

Exploring Asymmetric Volatility Spillovers among Major Bombay Stock Exchange Indices

Satish Kumar
4 citations
PRAGATI Journal of Indian Economy
Market Dynamics and Volatility
4.52
article

Exploring Asymmetric Volatility Spillovers among Major Bombay Stock Exchange Indices

Satish Kumar
article en
4 citations

Abstract

This study examines the return and volatility characteristics of selected indices from the Bombay Stock Exchange (BSE), specifically focusing on the Greenex, Energy, Utility, and Healthcare indices, over ten years from April 1, 2014, to March 31, 2024. Employing Generalized Autoregressive Conditional Heteroskedasticity (GARCH) family models, including TGARCH and EGARCH, the research identifies significant volatility clustering, persistence, and leverage effects among the indices. The findings reveal unidirectional volatility transmission from the Energy sector index to Greenex, alongside bidirectional spillover effects between Greenex and Utility, Greenex and Healthcare, Energy and Utility, Energy and Healthcare, and Utility and Healthcare. This study addresses a gap in the literature regarding the interactions among indices related to environmental, public health, and public welfare. The insights gained from this analysis provide practical implications for investors, aiding in effective portfolio management and risk mitigation strategies in the context of evolving market dynamics.

PRAGATI Journal of Indian EconomyVol. 11(2)
Openalex Percentile: Top 5%
Market Dynamics and Volatility
4.52
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