IDEAS home Printed from https://ideas.repec.org/p/imf/imfscr/2019-228.html
   My bibliography  Save this paper

Singapore: Financial Sector Assessment Program; Technical Note-Financial Stability Analysis and Stress Testing

Author

Listed:
  • International Monetary Fund

Abstract

This technical note Financial Stability Analysis and Stress Testing on Singapore contributes to the assessment of the stability and soundness of the financial sector with a comprehensive set of risk analyses. The work combines an examination of key risk indicators with detailed stress tests, which simulate the health of banks, insurers, nonfinancial corporates and households under severe yet plausible (counterfactual) adverse scenarios. Scenarios include global financial market turmoil, a major slowdown of economic activity in China, cyber-attacks and extreme flooding. The analyses include simulations of contagion within the international banking network, within the domestic banking system and between different types of financial institutions in the financial system. The stress tests reveal that the financial system is broadly resilient to severe adverse shocks; however, foreign exchange liquidity is a key vulnerability. The analyses suggest that Monetary Authority of Singapore should continue strengthening its surveillance by closing data gaps and developing its analytical tools. Further data collection on domestic interlinkages, household mortgage debt at the borrower level, insurers’ balance sheets would enhance surveillance.

Suggested Citation

  • International Monetary Fund, 2019. "Singapore: Financial Sector Assessment Program; Technical Note-Financial Stability Analysis and Stress Testing," IMF Staff Country Reports 2019/228, International Monetary Fund.
    • Handle: RePEc:imf:imfscr:2019/228
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=47112
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Shinichi Kamiya & Jun-Koo Kang & Jungmin Kim & Andreas Milidonis & René M. Stulz, 2018. "What is the Impact of Successful Cyberattacks on Target Firms?," NBER Working Papers 24409, National Bureau of Economic Research, Inc.
    3. Xavier Gabaix, 2016. "Power Laws in Economics: An Introduction," Journal of Economic Perspectives, American Economic Association, vol. 30(1), pages 185-206, Winter.
    4. Marco A. Espinosa‐Vega & Juan Solé, 2011. "Cross‐border financial surveillance: a network perspective," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 3(3), pages 182-205, August.
    5. Antoine Bouveret, 2018. "Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment," IMF Working Papers 2018/143, International Monetary Fund.
    6. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    7. Wenxin Du & Alexander Tepper & Adrien Verdelhan, 2018. "Deviations from Covered Interest Rate Parity," Journal of Finance, American Finance Association, vol. 73(3), pages 915-957, June.
    8. Mr. Christian Schmieder & Maher Hasan & Mr. Claus Puhr, 2011. "Next Generation Balance Sheet Stress Testing," IMF Working Papers 2011/083, International Monetary Fund.
    9. Mr. Francis Vitek, 2015. "Macrofinancial Analysis in the World Economy: A Panel Dynamic Stochastic General Equilibrium Approach," IMF Working Papers 2015/227, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. International Monetary Fund, 2017. "Luxembourg: Financial Sector Assessment Program: Technical Note-Risk Analysis," IMF Staff Country Reports 2017/261, International Monetary Fund.
    2. International Monetary Fund, 2017. "Finland: Financial Sector Assessment Program: Technical Note-Stress Testing the Banking System and Interconnectedness Analysis," IMF Staff Country Reports 2017/006, International Monetary Fund.
    3. International Monetary Fund, 2016. "Ireland: Financial Sector Assessment Program: Technical Note-Stress Testing the Banking System," IMF Staff Country Reports 2016/315, International Monetary Fund.
    4. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2020. "From CIP-deviations to a market for risk premia: A dynamic investigation of cross-currency basis swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    5. Mrs. Jana Bricco & Ms. TengTeng Xu, 2019. "Interconnectedness and Contagion Analysis: A Practical Framework," IMF Working Papers 2019/220, International Monetary Fund.
    6. Meglioli, Francesco & Gauci, Stephanie, 2021. "A Multi-level Network Approach to Spillovers Analysis: An Application to the Maltese Domestic Investment Funds Sector," ESRB Working Paper Series 124, European Systemic Risk Board.
    7. Mo, Wan-Shin & Yang, J. Jimmy & Chen, Yu-Lun, 2023. "Exchange rate spillover, carry trades, and the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 121(C).
    8. International Monetary Fund, 2017. "Spain: Financial Sector Assessment Program-Technical Note-Interconnectedness and Spillover Analysis in Spain’s Financial System," IMF Staff Country Reports 2017/344, International Monetary Fund.
    9. Mykola Babiak & Jozef Barunik, 2021. "Currency Network Risk," Papers 2101.09738, arXiv.org, revised Jul 2021.
    10. Baruník, Jozef & Bevilacqua, Mattia & Faff, Robert, 2024. "Dynamic industry uncertainty networks and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    11. Mykola Babiak & Jozef Barunik, 2021. "Uncertainty Network Risk and Currency Returns," CERGE-EI Working Papers wp687, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. Alexis Stenfors & Lilian Muchimba, 2023. "The Transmission Mechanism of Stress in the International Banking System," Working Papers in Economics & Finance 2023-03, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    13. International Monetary Fund, 2017. "Japan: Financial Sector Assessment Program-Technical Note-Systemic Risk Analysis and Stress Testing the Financial Sector," IMF Staff Country Reports 2017/285, International Monetary Fund.
    14. International Monetary Fund, 2018. "Brazil: Financial Sector Assessment Program-Technical Note on Stress Testing and Systemic Risk Analysis," IMF Staff Country Reports 2018/344, International Monetary Fund.
    15. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    16. Juncal Cunado & David Gabauer & Rangan Gupta, 2024. "Realized volatility spillovers between energy and metal markets: a time-varying connectedness approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    17. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    18. Chandrarin, Grahita & Sohag, Kazi & Cahyaningsih, Diyah Sukanti & Yuniawan, Dani & Herdhayinta, Heyvon, 2022. "The response of exchange rate to coal price, palm oil price, and inflation in Indonesia: Tail dependence analysis," Resources Policy, Elsevier, vol. 77(C).
    19. Liow, Kim Hiang & Huang, Yuting, 2018. "The dynamics of volatility connectedness in international real estate investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 195-210.
    20. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imf:imfscr:2019/228. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.