Dynamic Market Dependence between the Indian Market and Other Asia–Pacific Markets: Evidence from Multivariate DCC GARCH and Copula Model

Abstract: The study examines the dynamic dependence structure between the Indian market and other emerging and developed Asia-Pacific markets, a symbol of India’s growing economic connectivity with the global. We used the Copula-based Multivariate GARCH model to analyze the Conditional Correlation by Multivariate Generalized Autoregressive Conditional Heteroskedastic (MGARCH) and copula models to determine dependency. The study considered daily indices data from March 04, 2003, to December 31, 2023. The study found that there is a significant dynamic dependency among the Indian market and other Asia-Pacific markets. Compared to findings obtained from static models, our results offer investors interested in the Indian market with more timely recommendations for risk management, international asset allocation, and portfolio diversification. Keywords: Dependence Structure, Indian Market, Asia–Pacific Market, Copula JEL Classification Number: G1, F3

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-04
DOI
https://doi.org/10.5281/zenodo.15150715
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic Market Dependence between the Indian Market and Other Asia–Pacific Markets: Evidence from Multivariate DCC GARCH and Copula Model

Zenodo (CERN European Organization for Nuclear Research)
Financial Risk and Volatility Modeling
article

Dynamic Market Dependence between the Indian Market and Other Asia–Pacific Markets: Evidence from Multivariate DCC GARCH and Copula Model

article en

Abstract

Abstract: The study examines the dynamic dependence structure between the Indian market and other emerging and developed Asia-Pacific markets, a symbol of India’s growing economic connectivity with the global. We used the Copula-based Multivariate GARCH model to analyze the Conditional Correlation by Multivariate Generalized Autoregressive Conditional Heteroskedastic (MGARCH) and copula models to determine dependency. The study considered daily indices data from March 04, 2003, to December 31, 2023. The study found that there is a significant dynamic dependency among the Indian market and other Asia-Pacific markets. Compared to findings obtained from static models, our results offer investors interested in the Indian market with more timely recommendations for risk management, international asset allocation, and portfolio diversification. Keywords: Dependence Structure, Indian Market, Asia–Pacific Market, Copula JEL Classification Number: G1, F3

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Management Bangalore (IN)
Partnerships for the goals
Openalex Percentile: Top 47%
Financial Risk and Volatility Modeling
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