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Incorporating funding costs in top-down stress tests

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  • Korsgaard, Søren

Abstract

Central banks and supervisory authorities regularly conduct stress tests of banks. As losses accumulate in stress scenarios, banks’ equity position worsens, and they must pay higher interest rates to retain funding. I explore how variations of Merton-type models can be used to measure bank risk, and then examine the link between various risk measures and funding costs. Finally, I outline a method for incorporating funding cost increases into top-down stress tests.

Suggested Citation

  • Korsgaard, Søren, 2021. "Incorporating funding costs in top-down stress tests," Journal of Financial Stability, Elsevier, vol. 52(C).
  • Handle: RePEc:eee:finsta:v:52:y:2021:i:c:s1572308920300978
    DOI: 10.1016/j.jfs.2020.100798
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    1. Iftekhar Hasan & Liuling Liu & Gaiyan Zhang, 2016. "The Determinants of Global Bank Credit-Default-Swap Spreads," Journal of Financial Services Research, Springer;Western Finance Association, vol. 50(3), pages 275-309, December.
    2. Leland, Hayne E, 1994. "Corporate Debt Value, Bond Covenants, and Optimal Capital Structure," Journal of Finance, American Finance Association, vol. 49(4), pages 1213-1252, September.
    3. Black, Fischer & Cox, John C, 1976. "Valuing Corporate Securities: Some Effects of Bond Indenture Provisions," Journal of Finance, American Finance Association, vol. 31(2), pages 351-367, May.
    4. 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.
    5. Flannery, Mark & Hirtle, Beverly & Kovner, Anna, 2017. "Evaluating the information in the federal reserve stress tests," Journal of Financial Intermediation, Elsevier, vol. 29(C), pages 1-18.
    6. Acharya, Viral & Anginer, Deniz & Warburton, Joe, 2016. "The End of Market Discipline? Investor Expectations of Implicit Government Guarantees," MPRA Paper 79700, University Library of Munich, Germany.
    7. Annaert, Jan & De Ceuster, Marc & Van Roy, Patrick & Vespro, Cristina, 2013. "What determines Euro area bank CDS spreads?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 444-461.
    8. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    9. Jessen, Cathrine & Lando, David, 2015. "Robustness of distance-to-default," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 493-505.
    10. Afik, Zvika & Arad, Ohad & Galil, Koresh, 2016. "Using Merton model for default prediction: An empirical assessment of selected alternatives," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 43-67.
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