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An integrated multi-model credit rating system for private firms

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  • Giovanni Butera
  • Robert Faff

Abstract

This paper presents a integrated credit risk modelling approach for private firms which fulfil 2001 Basel Accord requirements in the case of the adoption of the foundation approach. Our model comprises: (a) a bottom-up technique to initially assess the through-the-cycle one-year Probability of Default (PD) and (b) a top-down approach to refine and calibrate this historical PD in a forward-looking credit risk assessment based on next year’s economic outlook. We present findings from applying this model to a large sample of client firms of the Bank of Rome. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Giovanni Butera & Robert Faff, 2006. "An integrated multi-model credit rating system for private firms," Review of Quantitative Finance and Accounting, Springer, vol. 27(3), pages 311-340, November.
    • Handle: RePEc:kap:rqfnac:v:27:y:2006:i:3:p:311-340
    DOI: 10.1007/s11156-006-9434-7
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    Cited by:

    1. Jan-Henning Trustorff & Paul Konrad & Jens Leker, 2011. "Credit risk prediction using support vector machines," Review of Quantitative Finance and Accounting, Springer, vol. 36(4), pages 565-581, May.
    2. Tsung-Kang Chen & Hsien-Hsing Liao & Chia-Wu Lu, 2011. "A flow-based corporate credit model," Review of Quantitative Finance and Accounting, Springer, vol. 36(4), pages 517-532, May.
    3. Marianna Lyra, 2010. "Heuristic Strategies in Finance – An Overview," Working Papers 045, COMISEF.
    4. Ana Paula Matias Gama & Helena Susana Amaral Geraldes, 2012. "Credit risk assessment and the impact of the New Basel Capital Accord on small and medium‐sized enterprises," Management Research Review, Emerald Group Publishing Limited, vol. 35(8), pages 727-749, July.
    5. Matteo Arena, 2011. "The corporate choice between public debt, bank loans, traditional private debt placements, and 144A debt issues," Review of Quantitative Finance and Accounting, Springer, vol. 36(3), pages 391-416, April.
    6. Zhixin Liu & Ping He & Bo Chen, 2019. "A Markov decision model for consumer term-loan collections," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 1043-1064, May.
    7. Gunter Löffler, 2013. "Can rating agencies look through the cycle?," Review of Quantitative Finance and Accounting, Springer, vol. 40(4), pages 623-646, May.
    8. Fábio Dias Duarte & Ana Paula Matias Gama & Mohamed Azzim Gulamhussen, 2018. "Defaults in bank loans to SMEs during the financial crisis," Small Business Economics, Springer, vol. 51(3), pages 591-608, October.
    9. Bikki Jaggi & Alessandra Allini & Francesca Manes Rossi & Adele Caldarelli, 2016. "Impact of Accounting Traditions, Ownership and Governance Structures on Financial Reporting by Italian Firms," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-29, March.
    10. Cogneau, Philippe & Hübner, Georges, 2015. "The prediction of fund failure through performance diagnostics," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 224-241.

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