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Systemic interconnectedness among Asian Banks

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  • Mensah, Jones Odei
  • Premaratne, Gamini

Abstract

The recent global financial crisis (GFC) has drawn much attention to systemic risk, particularly its measurement and key contributing institutions. Following this severe event, the economic and finance literature has been flooded with numerous quantitative measures of systemic risk. However, researchers have largely ignored the systemic risk potential of regions such as Asia, instead focusing on financial systems in the U.S. and Europe. This paper empirically examines systemic risk potential for banking institutions in Asia, drawing on recent systemic risk analytics. This paper employs two methods, using the Conditional Value-at-Risk method to measure the systemic contribution of institutions and the Granger-causality network approach to determine their degree of interconnectedness. The analysis reveals that the degree of interconnectedness has generally increased among banks in Asia. Nevertheless, the causal network among the banks has become less dense since the GFC (2007–2009). Thus, banks in developed Asian economies generally have higher potential for systemic risk than those in other emerging markets. Finally, we find a positive relationship between bank size and contribution to systemic risk.

Suggested Citation

  • Mensah, Jones Odei & Premaratne, Gamini, 2017. "Systemic interconnectedness among Asian Banks," Japan and the World Economy, Elsevier, vol. 41(C), pages 17-33.
  • Handle: RePEc:eee:japwor:v:41:y:2017:i:c:p:17-33
    DOI: 10.1016/j.japwor.2016.12.004
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    Cited by:

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    2. Hossein Dastkhan, 2019. "What are the most effective and vulnerable firms in financial crisis? A network representation of CoVaR in an emerging market," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-31, March.
    3. Mensah, Jones Odei & Premaratne, Gamini, 2018. "Integration of ASEAN banking sector stocks," Journal of Asian Economics, Elsevier, vol. 59(C), pages 48-60.
    4. Aida Barkauskaite & Ausrine Lakstutiene & Justyna Witkowska, 2018. "Measurement of Systemic Risk in a Common European Union Risk-Based Deposit Insurance System: Formal Necessity or Value-Adding Process?," Risks, MDPI, vol. 6(4), pages 1-21, December.
    5. Lai, Yujie & Hu, Yibo, 2021. "A study of systemic risk of global stock markets under COVID-19 based on complex financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    6. Hossein Dastkhan, 2021. "Network‐based early warning system to predict financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 594-616, January.
    7. Foglia, Matteo & Angelini, Eliana, 2020. "From me to you: Measuring connectedness between Eurozone financial institutions," Research in International Business and Finance, Elsevier, vol. 54(C).
    8. Abakah, Emmanuel Joel Aikins & Addo, Emmanuel & Gil-Alana, Luis A. & Tiwari, Aviral Kumar, 2021. "Re-examination of international bond market dependence: Evidence from a pair copula approach," International Review of Financial Analysis, Elsevier, vol. 74(C).

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    More about this item

    Keywords

    Systemic risk; Asia banking sector; CoVaR; Granger causality network; Interconnectedness; Dynamic causality index;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G01 - Financial Economics - - General - - - Financial Crises
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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