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Causal interactions and financial contagion among the BRICS stock markets under rare events: a Liang causality analysis

Xunfa Lu (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)
Jingjing Sun (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)
Guo Wei (Department of Mathematics and Computer Science, The University of North Carolina at Pembroke, Pembroke, North Carolina, USA)
Ching-Ter Chang (Department of Information Management, Chang Gung University, Taoyuan, Taiwan) (Clinical Trial Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan) (Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City, Taiwan)

International Journal of Emerging Markets

ISSN: 1746-8809

Article publication date: 22 August 2023

140

Abstract

Purpose

The purpose of this paper is to investigate dynamics of causal interactions and financial risk contagion among BRICS stock markets under rare events.

Design/methodology/approach

Two methods are adopted: The new causal inference technique, namely, the Liang causality analysis based on information flow theory and the dynamic causal index (DCI) are used to measure the financial risk contagion.

Findings

The causal relationships among the BRICS stock markets estimated by the Liang causality analysis are significantly stronger in the mid-periods of rare events than in the pre- and post-periods. Moreover, different rare events have heterogeneous effects on the causal relationships. Notably, under rare events, there is almost no significant Liang's causality between the Chinese and other four stock markets, except for a few moments, indicating that the former can provide a relatively safe haven within the BRICS. According to the DCIs, the causal linkages have significantly increased during rare events, implying that their connectivity becomes stronger under extreme conditions.

Practical implications

The obtained results not only provide important implications for investors to reasonably allocate regional financial assets, but also yield some suggestions for policymakers and financial regulators in effective supervision, especially in extreme environments.

Originality/value

This paper uses the Liang causality analysis to construct the causal networks among BRICS stock indices and characterize their causal linkages. Furthermore, the DCI derived from the causal networks is applied to measure the financial risk contagion of the BRICS countries under three rare events.

Keywords

Acknowledgements

This work was supported by the Social Science Fund of Jiangsu Province [No. 20GLB008]; the National Natural Science Foundation of China [No. 71701104]; and the MOE Project of Humanities and Social Sciences [No. 17YJC790102]. The authors thanks to the suggestions by X. San Liang.

Citation

Lu, X., Sun, J., Wei, G. and Chang, C.-T. (2023), "Causal interactions and financial contagion among the BRICS stock markets under rare events: a Liang causality analysis", International Journal of Emerging Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOEM-01-2023-0055

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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