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Fuzzy structural risk of default for banks in Southern Africa

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  • Ephraim Matanda
  • Eriyoti Chikodza
  • Farai Kwenda

Abstract

This paper proposes and examines a new structural risk of default model for banks in frictional and fuzzy financial markets. It is motivated by the need to fill the shortcomings of probability-based credit risk metric models that are characterised by unrealistic assumptions such as crisply precise and constant risk-free rates of return. The problem investigated here specifically proposes a new Kealhofer–Merton–Vasicek (KMV)-type model for estimation of the risk of default for banks extended for both market friction represented by transaction costs and uncertainty modelled by fuzziness. The novel risk of default model is then validated using cross-sectional financial data of eight commercial banks drawn from several emerging economies in Southern Africa. The results from the proposed model are fairly stable and consistent compared to those from hazard function and structural credit risk models currently used in the markets. The model is relevant in that it fairly captures practical conditions faced by banks that influence their risks of default in their quest to improve financial performance and shareholders’ wealth. The study recommends that banks in frictional and fuzzy financial markets, such as those in emerging economies, can adopt and implement the proposed risk of the default model.

Suggested Citation

  • Ephraim Matanda & Eriyoti Chikodza & Farai Kwenda, 2022. "Fuzzy structural risk of default for banks in Southern Africa," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2141884-214, December.
    • Handle: RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2141884
    DOI: 10.1080/23322039.2022.2141884
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. 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.
    3. Duan, Jin-Chuan & Sun, Jie & Wang, Tao, 2012. "Multiperiod corporate default prediction—A forward intensity approach," Journal of Econometrics, Elsevier, vol. 170(1), pages 191-209.
    4. Luc Laeven & Lev Ratnovski & Hui Tong, 2014. "Bank Size and Systemic Risk," IMF Staff Discussion Notes 14/4, International Monetary Fund.
    5. Young Ho Eom, 2004. "Structural Models of Corporate Bond Pricing: An Empirical Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 499-544.
    6. Mr. Luc Laeven & Mr. Lev Ratnovski & Mr. Hui Tong, 2014. "Bank Size and Systemic Risk," IMF Staff Discussion Notes 2014/004, International Monetary Fund.
    7. Emma L. Schultz & David T. Tan & Kathleen D. Walsh, 2017. "Corporate governance and the probability of default," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57, pages 235-253, April.
    8. Hideya Kubo & Yasuhiro Sakai, 2011. "On long-term credit risk assessment and rating: towards a new set of models," Journal of Risk Research, Taylor & Francis Journals, vol. 14(9), pages 1127-1141, October.
    9. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    10. Umberto Cherubini, 1997. "Fuzzy measures and asset prices: accounting for information ambiguity," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(3), pages 135-149.
    11. 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.
    12. Ronn, Ehud I & Verma, Avinash K, 1986. "Pricing Risk-Adjusted Deposit Insurance: An Option-Based Model," Journal of Finance, American Finance Association, vol. 41(4), pages 871-895, September.
    13. Chia-Chien Chang & Wei-Yi Huang & So-De Shyu, 2012. "Pricing Mortgage Insurance with Asymmetric Jump Risk and Default Risk: Evidence in the U.S. Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 846-868, November.
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