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Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach

Chen, Yanhua; Li, Youwei; Pantelous, Athanasios A.; Stanley, H. Eugene

Authors

Yanhua Chen

Athanasios A. Pantelous

H. Eugene Stanley



Abstract

In this paper, we propose a network-based analytical framework that exploits cointegration and the error correction model to systematically investigate the directions and intensities in terms of the short-run disequilibrium adjustment towards long-run equilibrium affecting the international stock markets during the period of 5 January 2007 to 30 June 2017. Under this setting, we investigate whether and how the cross-border directional interconnectedness within the world's 23 developed and 23 emerging stock markets altered during the entire period of 2007–2017, and two specific periods of 2007–2009 Global Financial Crisis and 2010–2012 European Sovereign Debt Crisis. The main results indicate that the magnitude of the short-run disequilibrium adjustment towards long-run equilibrium for individual stock markets is not homogeneous over different time scales. We report that the changes in directional interconnectedness within stock markets worldwide did occur under the impact of the recent financial crises. The derived networks of stock markets interconnectedness allow us to visually characterize how specific stock markets from different regions form interconnected groups when exhibiting similar behaviours, which none the less provides significant information for strategic portfolio and risk management.

Citation

Chen, Y., Li, Y., Pantelous, A. A., & Stanley, H. E. (2022). Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach. International review of financial analysis, 79, Article 102002. https://doi.org/10.1016/j.irfa.2021.102002

Journal Article Type Article
Acceptance Date Nov 29, 2021
Online Publication Date Dec 18, 2021
Publication Date 2022-01
Deposit Date Jan 1, 2022
Publicly Available Date Jun 19, 2023
Journal International Review of Financial Analysis
Print ISSN 1057-5219
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 79
Article Number 102002
DOI https://doi.org/10.1016/j.irfa.2021.102002
Keywords International stock markets; Cointegration; Error correction model; Complex network theory; Financial crisis
Public URL https://hull-repository.worktribe.com/output/3904773

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