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Credit Risk modeling for Companies Default Prediction using Neural Networks

Author

Listed:
  • Alina Mihaela Dima

    (The Bucharest University of Economic Studies)

  • Simona Vasilache

    (The Bucharest University of Economic Studies)

Abstract
The paper assesses the business default risk on a cross-national sample of 3000 companies applying for credit to an international bank operating in Romania. The structure of the sample replicates the structure of the general population of companies in Romania. Based on their past credit history, we have distributed the companies in seven classes plus the default, using and adapting the Standard & Poor’s categories: AAA (1020 companies, 34%) – no risk; AA (279 companies, 9.3%) – minimal risk; A (906 companies, 30.2%) – low risk; BBB (201 companies, 6.7%) – moderate risk; BB (123 companies, 4.1%) – acceptable risk; B (111 companies, 3.7%) – high risk; C (105 companies, 3.5%) – very high risk and D (255 companies, 8.5%) – default. We have then, estimated the one-step transitions probability for downgrading for one year, based on the present category, loan amount, size of company and sector of activity. Thus, although the approach is bottom-up and unconditioned, focusing on the companies, we have included the economic context, taking into account the type of company and the economic sector. We have performed the estimations first using logit regression, and then ANN (Artificial Neural Networks), and compared the results with Standard & Poor’s transition matrix for 2010. The results were compared in terms of predictive power, and arguments were given for choosing an ANN design.

Suggested Citation

  • Alina Mihaela Dima & Simona Vasilache, 2016. "Credit Risk modeling for Companies Default Prediction using Neural Networks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 127-143, September.
    • Handle: RePEc:rjr:romjef:v::y:2016:i:3:p:127-143
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    as
    1. Galai, Dan & Masulis, Ronald W., 1976. "The option pricing model and the risk factor of stock," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 53-81.
    2. Edward J. Kane, 1987. "No Room for Weak Links in the Chain of Deposit Insurance Reform," NBER Working Papers 2317, National Bureau of Economic Research, Inc.
    3. Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
    4. Chiesa, Gabriella, 2008. "Optimal credit risk transfer, monitored finance, and banks," Journal of Financial Intermediation, Elsevier, vol. 17(4), pages 464-477, October.
    5. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    6. Saunders, Anthony & Strock, Elizabeth & Travlos, Nickolaos G, 1990. "Ownership Structure, Deregulation, and Bank Risk Taking," Journal of Finance, American Finance Association, vol. 45(2), pages 643-654, June.
    7. Lucian Liviu Albu & Radu Lupu & Cantemir Adrian Călin & Oana Cristina Popovici, 2014. "Estimating the Impact of Quantitative Easing On Credit Risk through an ARMA-GARCH Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 39-50, October.
    8. Jensen, Michael C, 1986. "Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers," American Economic Review, American Economic Association, vol. 76(2), pages 323-329, May.
    9. George J. Benston & Mike Carhill & Brian Olasov, 1991. "The Failure and Survival of Thrifts: Evidence from the Southeast," NBER Chapters, in: Financial Markets and Financial Crises, pages 305-384, National Bureau of Economic Research, Inc.
    10. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    11. Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.
    12. Goodman, Laurie S. & Santomero, Anthony M., 1986. "Variable-rate deposit insurance: A re-examination," Journal of Banking & Finance, Elsevier, vol. 10(2), pages 203-218, June.
    13. Merton, Robert C., 1977. "An analytic derivation of the cost of deposit insurance and loan guarantees An application of modern option pricing theory," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 3-11, June.
    14. Robert Hauswald & Robert Marquez, 2006. "Competition and Strategic Information Acquisition in Credit Markets," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 967-1000.
    15. John H. Boyd & Gianni De Nicoló, 2005. "The Theory of Bank Risk Taking and Competition Revisited," Journal of Finance, American Finance Association, vol. 60(3), pages 1329-1343, June.
    16. 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.
    17. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
    18. Almazan, Andres, 2002. "A Model of Competition in Banking: Bank Capital vs Expertise," Journal of Financial Intermediation, Elsevier, vol. 11(1), pages 87-121, January.
    19. repec:bla:jfinan:v:43:y:1988:i:5:p:1219-33 is not listed on IDEAS
    20. Michael Doumpos & Constantin Zopounidis, 2007. "Model combination for credit risk assessment: A stacked generalization approach," Annals of Operations Research, Springer, vol. 151(1), pages 289-306, April.
    21. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    22. Buser, Stephen A & Chen, Andrew H & Kane, Edward J, 1981. "Federal Deposit Insurance, Regulatory Policy, and Optimal Bank Capital," Journal of Finance, American Finance Association, vol. 36(1), pages 51-60, March.
    23. Constantine Loucopoulos & Robert Pavur, 1997. "Experimental evaluation of the classificatory performance of mathematical programming approaches to the three-group discriminant problem: The case of small samples," Annals of Operations Research, Springer, vol. 74(0), pages 191-209, November.
    24. Blackwell, David W & Winters, Drew B, 1997. "Banking Relationships and the Effect of Monitoring on Loan Pricing," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 275-289, Summer.
    25. Robert Hauswald & Robert Marquez, 2003. "Information Technology and Financial Services Competition," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 921-948, July.
    26. Canbas, Serpil & Cabuk, Altan & Kilic, Suleyman Bilgin, 2005. "Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case," European Journal of Operational Research, Elsevier, vol. 166(2), pages 528-546, October.
    27. R. Glenn Hubbard, 1991. "Financial Markets and Financial Crises," NBER Books, National Bureau of Economic Research, Inc, number glen91-1.
    28. Galindo, J & Tamayo, P, 2000. "Credit Risk Assessment Using Statistical and Machine Learning: Basic Methodology and Risk Modeling Applications," Computational Economics, Springer;Society for Computational Economics, vol. 15(1-2), pages 107-143, April.
    29. Kenneth Daniels & Gabriel Ramirez, 2008. "Information, Credit Risk, Lender Specialization and Loan Pricing: Evidence from the DIP Financing Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 34(1), pages 35-59, August.
    30. Wolf Wagner, 2010. "Loan Market Competition and Bank Risk-Taking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 37(1), pages 71-81, February.
    31. Bharat Jain & Barin Nag, 1998. "A neural network model to predict long-run operating performance of new ventures," Annals of Operations Research, Springer, vol. 78(0), pages 83-110, January.
    32. Simon Kwan & Robert Eisenbeis, 1997. "Bank Risk, Capitalization, and Operating Efficiency," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(2), pages 117-131, October.
    33. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    34. Gehrig, Thomas, 1998. "Screening, cross-border banking, and the allocation of credit," Research in Economics, Elsevier, vol. 52(4), pages 387-407, December.
    35. Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 12(4), pages 84-137.
    36. Pinches, George E & Mingo, Kent A, 1973. "A Multivariate Analysis of Industrial Bond Ratings," Journal of Finance, American Finance Association, vol. 28(1), pages 1-18, March.
    37. David W. Blackwell & Drew B. Winters, 1997. "Banking Relationships And The Effect Of Monitoring On Loan Pricing," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 275-289, June.
    38. Angelini, Eliana & di Tollo, Giacomo & Roli, Andrea, 2008. "A neural network approach for credit risk evaluation," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 733-755, November.
    39. Ken Hung & Hui Wen Cheng & Shih-shen Chen & Ying-Chen Huang, 2013. "Factors that Affect Credit Rating: An Application of Ordered Probit Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 94-108, December.
    40. Deming Wu & Jiawen Yang & Han Hong, 2011. "Securitization and Banks’ Equity Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 39(3), pages 95-117, June.
    41. Sueyoshi, Toshiyuki, 2004. "Mixed integer programming approach of extended DEA-discriminant analysis," European Journal of Operational Research, Elsevier, vol. 152(1), pages 45-55, January.
    42. Andrew Winton, 1999. "Don’t Put All Your Eggs in One Basket? Diversification and Specialization in Lending," Center for Financial Institutions Working Papers 00-16, Wharton School Center for Financial Institutions, University of Pennsylvania.
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    More about this item

    Keywords

    credit risk; neural networks; regression; business of banking; prediction model;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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