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People’s Republic of China–Hong Kong Special Administrative Region: Financial Sector Assessment Program-Stress Testing the Banking Sector-Technical Note

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  • International Monetary Fund

Abstract

This Technical Note on Stress Testing the Banking Supervision was prepared in the context of the Financial Sector Assessment Program (FSAP) for the People’s Republic of China–Hong Kong Special Administrative Region (HKSAR). Bank liquidity tests focus on sudden, sizable withdrawals of funding and the sufficiency of existing assets to withstand those shocks under stressed conditions. The stress test results confirm a high degree of resilience of the sector. This reflects the strength of the banks at the starting position, which reduces their fundamental vulnerability to shocks. Banks in HKSAR hold very high levels of capital, are very profitable, and have a low level of asset impairments amid stable funding profiles. The Hong Kong Monetary Authority is encouraged to continue its integration of risk-based supervision in the development of stress test scenarios for macroprudential policy and surveillance. Banking supervisors routinely conduct stress tests and, from time to time, modify relevant assumptions in order to support thematic reviews of identified vulnerabilities against emerging risks.

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  • International Monetary Fund, 2014. "People’s Republic of China–Hong Kong Special Administrative Region: Financial Sector Assessment Program-Stress Testing the Banking Sector-Technical Note," IMF Staff Country Reports 2014/210, International Monetary Fund.
    • Handle: RePEc:imf:imfscr:2014/210
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    1. International Monetary Fund, 2013. "Belgium: Technical Note on Stress Testing the Banking and Insurance Sectors," IMF Staff Country Reports 2013/137, International Monetary Fund.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Jones, E Philip & Mason, Scott P & Rosenfeld, Eric, 1984. "Contingent Claims Analysis of Corporate Capital Structures: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 39(3), pages 611-625, July.
    4. Joseph P. Ogden, 1987. "Determinants Of The Ratings And Yields On Corporate Bonds: Tests Of The Contingent Claims Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(4), pages 329-340, December.
    5. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    6. Andreas Jobst & Mr. Dale F Gray, 2013. "Systemic Contingent Claims Analysis: Estimating Market-Implied Systemic Risk," IMF Working Papers 2013/054, International Monetary Fund.
    7. Nowak, Sylwia & Andritzky, Jochen & Jobst, Andreas & Tamirisa, Natalia, 2011. "Macroeconomic fundamentals, price discovery, and volatility dynamics in emerging bond markets," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2584-2597, October.
    8. Lars E.O. Svensson, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994," NBER Working Papers 4871, National Bureau of Economic Research, Inc.
    9. Longstaff, Francis A & Schwartz, Eduardo S, 1995. "A Simple Approach to Valuing Risky Fixed and Floating Rate Debt," Journal of Finance, American Finance Association, vol. 50(3), pages 789-819, July.
    10. International Monetary Fund, 2011. "United Kingdom: Stress Testing the Banking Sector Technical Note," IMF Staff Country Reports 2011/227, International Monetary Fund.
    11. Eric Wong & Cho-Hoi Hui, 2009. "A Liquidity Risk Stress-Testing Framework with Interaction between Market and Credit Risks," Working Papers 0906, Hong Kong Monetary Authority.
    12. Andreas Jobst & Ms. Li L Ong & Mr. Christian Schmieder, 2013. "A Framework for Macroprudential Bank Solvency Stress Testing: Application to S-25 and Other G-20 Country FSAPs," IMF Working Papers 2013/068, International Monetary Fund.
    13. Svensson, Lars E O, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992-4," CEPR Discussion Papers 1051, C.E.P.R. Discussion Papers.
    14. Andreas Jobst, 2007. "Operational Risk: The Sting is Still in the Tail But the Poison Dependson the Dose," IMF Working Papers 2007/239, International Monetary Fund.
    15. International Monetary Fund, 2011. "Sweden: Financial Sector Assessment Program Update: Technical Note on Contingent Claims Analysis Approach to Measure Risk and Stress Test the Swedish Banking Sector," IMF Staff Country Reports 2011/286, International Monetary Fund.
    16. International Monetary Fund, 2011. "Germany: Technical Note on Stress Testing," IMF Staff Country Reports 2011/371, International Monetary Fund.
    17. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
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