Tail risk network analysis of Asian banks

Thach N. Pham, Robert Powell and Deepa Bannigidadmath

Global Finance Journal, 2024, vol. 62, issue C

Abstract: This study aims to investigate the tail risk dependence of individual banks in Asian emerging markets. Using value at risk and conditional value at risk to measure tail risk and employing the least absolute shrinkage and selection operator regression to build the network, this study analysed interconnectedness at three levels: system-wide, country level and individual bank level. This study yields three key findings. First, banks in Asian emerging markets have a notably high tail risk network, particularly during more extreme market conditions. Second, the smaller and more interconnected banks are the most systemically important in the region, rather than the largest banks. Third, the time-varying results suggest that tail risk dependence, primarily attributed to cross-country connectivity, increased after the global financial crisis but has decreased in recent years.

Keywords: Tail risk network; Interconnectedness; Asian banks; LASSO (search for similar items in EconPapers)
JEL-codes: C21 C51 C63 G01 G18 G32 G38 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:glofin:v:62:y:2024:i:c:s1044028324000899

DOI: 10.1016/j.gfj.2024.101017

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