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Measuring Systemic Risk And Financial Linkages In The Thai Banking System

Author

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  • Rungporn Roengpitya

    (Bank of Thailand)

  • Phurichai Rungcharoenkitkul

    (Bank of Thailand)

Abstract

This paper addresses the measurement issues of systemic risk in the Thai banking sector. The concept of conditional value-at-risk (CoVaR), due to Adrian and Brunnermeier (2008), was used to quantify the level of systemic risk and financial linkages among six major Thai commercial banks over the period of 1996Q2-2009Q1. Intuitively, CoVaR measures the degree of ‘risk externalities’ that a single institution imposes on the system. We found that there was additional risk imposed onto the overall system by individual banks, both during the Asian crisis time and in subsequent periods. There is some evidence that larger banks contribute more to this systemic risk, as measured by the concept of “?CoVaR,” but size is far from being a dominant factor. We further apply the concept of CoVaR to measure the financial linkage between any two banks and investigate the changing nature of the linkages over time as well as other bank characteristics that drive such inter-bank relationships. These measures of risk externalities serve as a useful additional toolbox to the regulators, and themselves have novel regulatory implications.

Suggested Citation

  • Rungporn Roengpitya & Phurichai Rungcharoenkitkul, 2010. "Measuring Systemic Risk And Financial Linkages In The Thai Banking System," Working Papers 2010-02, Monetary Policy Group, Bank of Thailand.
  • Handle: RePEc:bth:wpaper:2010-02
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    Cited by:

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    2. Fang, Libing & Sun, Boyang & Li, Huijing & Yu, Honghai, 2018. "Systemic risk network of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 35(C), pages 190-206.
    3. Yunyong Thaicharoen & Rungporn Roengpitya & Jiranit Chaowalit & Songklod Rastapana, 2009. "Developing the Efficient and Resilient Financial System for Thailand: Lessons from the Crisis and Challenges Ahead," Working Papers 2009-04, Monetary Policy Group, Bank of Thailand.
    4. Natasha Agarwal et al, 2013. "A Systematic approach to identify systemically important firms," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2013-021, Indira Gandhi Institute of Development Research, Mumbai, India.
    5. Ivan Alves & Stijn Ferrari & Pietro Franchini & Jean-Cyprien Heam & Pavol Jurca & Sam Langfield & Sebastiano Laviola & Franka Liedorp & Antonio Sánchez & Santiago Tavolaro & Guillaume Vuillemey, 2013. "The structure and resilience of the European interbank market," ESRB Occasional Paper Series 03, European Systemic Risk Board.
    6. Gabriela Anghelache & Dumitru-Cristian Oanea, 2014. "Main Romanian Commercial Banks’ Systemic Risk during Financial Crisis: a CoVar Approach," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 6(2), pages 069-080, December.
    7. International Monetary Fund, 2012. "Short-Term Wholesale Funding and Systemic Risk: A Global Covar Approach," IMF Working Papers 2012/046, International Monetary Fund.
    8. Wong, Alfred Y-T. & Fong, Tom Pak Wing, 2011. "Analysing interconnectivity among economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 432-442.
    9. López-Espinosa, Germán & Moreno, Antonio & Rubia, Antonio & Valderrama, Laura, 2012. "Short-term wholesale funding and systemic risk: A global CoVaR approach," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3150-3162.
    10. Liu, Xiaochun, 2013. "Systemic Risk of Commercial Banks: A Markov-Switching Quantile Autoregression Approach," MPRA Paper 55801, University Library of Munich, Germany.
    11. Saidane, Dhafer & Sène, Babacar & Désiré Kanga, Kouamé, 2021. "Pan-African banks, banking interconnectivity: A new systemic risk measure in the WAEMU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
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