Dynamic convergence in equity markets: evidence from an open-developing economy

An Thị Thùy Dương

Journal of Business Economics and Management2026https://doi.org/10.3846/jbem.2026.26196article
AJG 2ABDC B
Weight
0.50

Abstract

This paper examines the speed and stability of stock market convergence in an open developing economy, using Vietnam as the case. The study applies a β-convergence framework to weekly FTSE equity-indices from 2013 to 2025, estimating both full-sample and time-varying models, including sub-period regressions and rolling-window analyses. Structural change is addressed by separating pre-crisis, crisis, and post-crisis periods. The findings reveal three key insights. First, Vietnam’s equity market shows long-run convergence with regional benchmarks such as Korea, the Asia-Pacific, and emerging markets, but weaker linkages with advanced markets such as the United States (U.S.), the euro area (EMU), and Japan. Second, convergence speeds rose during the crisis period, indicating temporary synchronization with global markets, then fell sharply in the post-crisis phase. Third, regional linkages are more persistent, suggesting a reorientation toward intra-regional financial alignment. These results have important research implications for understanding dynamic financial integration and convergence asymmetries. From a policy perspective, they support strengthening regional financial cooperation to bolster resilience and market development in open developing economies.

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https://doi.org/https://doi.org/10.3846/jbem.2026.26196

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@article{an2026,
  title        = {{Dynamic convergence in equity markets: evidence from an open-developing economy}},
  author       = {An Thị Thùy Dương},
  journal      = {Journal of Business Economics and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.3846/jbem.2026.26196},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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