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Measuring the Interdependence of Banks in Hong Kong

Author

Listed:
  • Tom Fong

    (Research Department, Hong Kong Monetary Authority)

  • Laurence Fung

    (Research Department, Hong Kong Monetary Authority)

  • Lillie Lam

    (Research Department, Hong Kong Monetary Authority)

  • Ip-wing Yu

    (Research Department, Hong Kong Monetary Authority)

Abstract

This paper assesses systemic linkages among banks in Hong Kong using the risk measure "CoVaR" derived from quantile regression. The CoVaR measure captures the co-movements of banks¡¯ default risk by taking into account their nonlinear relationship when the banks are in distress. Based on equity price information, our estimation results show that the default risks of the banks were interdependent during the recent crisis. Although local banks are generally smaller, their systemic importance is found to be similar to their international and Mainland counterparts, which may be due to a higher degree of commonality in the risk profile of local banks. Regarding the impact of external shocks on the banks, international banks are more likely to be affected by the equity price fall in the US market, while local banks are relatively more responsive to funding liquidity risk.

Suggested Citation

  • Tom Fong & Laurence Fung & Lillie Lam & Ip-wing Yu, 2009. "Measuring the Interdependence of Banks in Hong Kong," Working Papers 0919, Hong Kong Monetary Authority.
  • Handle: RePEc:hkg:wpaper:0919
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    File URL: http://www.hkma.gov.hk/media/eng/publication-and-research/research/working-papers/HKMAWP09_19_full.pdf
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    References listed on IDEAS

    as
    1. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
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    Cited by:

    1. Her-Jiun Sheu & Chien-Ling Cheng, 2011. "Systemic risk in Taiwan stock market," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(5), pages 895-914, August.
    2. Wong, Alfred Y-T. & Fong, Tom Pak Wing, 2011. "Analysing interconnectivity among economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 432-442.
    3. Bui, Christina & Scheule, Harald & Wu, Eliza, 2017. "The value of bank capital buffers in maintaining financial system resilience," Journal of Financial Stability, Elsevier, vol. 33(C), pages 23-40.
    4. Efthymios Pavlidis & Ivan Paya & Alexandros Skouralis, 2021. "House prices, (un)affordability and systemic risk," New Zealand Economic Papers, Taylor & Francis Journals, vol. 55(1), pages 105-123, January.
    5. 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).
    6. Li, Xindan & Yu, Honghai & Fang, Libing & Xiong, Cheng, 2019. "Do firm-level factors play forward-looking role for financial systemic risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).

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    More about this item

    Keywords

    Value-at-Risk; Systemic Risk; Risk Spillovers; Quantile Regression;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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