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Evaluation of credit risk based on firm performance

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  • Psillaki, Maria
  • Tsolas, Ioannis E.
  • Margaritis, Dimitris

Abstract

This paper investigates whether productive inefficiency measured as the distance from the industry's 'best practice' frontier is an important ex-ante predictor of business failure. We use samples of French textiles, wood and paper products, computers and R&D companies to obtain efficiency estimates for individual firms in each industry. These efficiency measures are derived from a directional technology distance function constructed empirically using non-parametric data envelopment analysis (DEA) methods. Estimating binary and ordered logit regression models we find that productive efficiency has significant explanatory power in predicting the likelihood of default over and above the effect of standard financial indicators.

Suggested Citation

  • Psillaki, Maria & Tsolas, Ioannis E. & Margaritis, Dimitris, 2010. "Evaluation of credit risk based on firm performance," European Journal of Operational Research, Elsevier, vol. 201(3), pages 873-881, March.
    • Handle: RePEc:eee:ejores:v:201:y:2010:i:3:p:873-881
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    1. Zopounidis, C & Pouliezos, A & Yannacopoulos, D, 1992. "Designing a DSS for the Assessment of Company Performance and Viability," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(1), pages 41-56, February.
    2. Stiglitz, Joseph E & Weiss, Andrew, 1992. "Asymmetric Information in Credit Markets and Its Implications for Macro-economics," Oxford Economic Papers, Oxford University Press, vol. 44(4), pages 694-724, October.
    3. Michael Spence, 2002. "Signaling in Retrospect and the Informational Structure of Markets," American Economic Review, American Economic Association, vol. 92(3), pages 434-459, June.
    4. Berger, Allen N. & Bonaccorsi di Patti, Emilia, 2006. "Capital structure and firm performance: A new approach to testing agency theory and an application to the banking industry," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1065-1102, April.
    5. Becchetti, Leonardo & Sierra, Jaime, 2003. "Bankruptcy risk and productive efficiency in manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2099-2120, November.
    6. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, December.
    7. Berger, Allen N. & Udell, Gregory F., 2006. "A more complete conceptual framework for SME finance," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 2945-2966, November.
    8. Blum, M, 1974. "Failing Company Discriminant-Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 12(1), pages 1-25.
    9. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    10. Mareschal, B. & Brans, J. P., 1991. "BANKADVISER: An industrial evaluation system," European Journal of Operational Research, Elsevier, vol. 54(3), pages 318-324, October.
    11. 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.
    12. Tinsley, P. A., 1970. "Capital Structure, Precautionary Balances, and Valuation of the Firm: The Problem of Financial Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 5(1), pages 33-62, March.
    13. Cielen, Anja & Peeters, Ludo & Vanhoof, Koen, 2004. "Bankruptcy prediction using a data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 526-532, April.
    14. Diakoulaki, D & Mavrotas, G & Papayannakis, L, 1992. "A multicriteria approach for evaluating the performance of industrial firms," Omega, Elsevier, vol. 20(4), pages 467-474, July.
    15. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
    16. 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.
    17. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    18. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    19. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    20. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    21. Joseph Paradi & Mette Asmild & Paul Simak, 2004. "Using DEA and Worst Practice DEA in Credit Risk Evaluation," Journal of Productivity Analysis, Springer, vol. 21(2), pages 153-165, March.
    22. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
    23. Oliver E. Williamson, 1967. "Hierarchical Control and Optimum Firm Size," Journal of Political Economy, University of Chicago Press, vol. 75(2), pages 123-123.
    24. repec:bla:jfinan:v:43:y:1988:i:1:p:1-19 is not listed on IDEAS
    25. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    26. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    27. Joseph E. Stiglitz, 1972. "Some Aspects of the Pure Theory of Corporate Finance: Bankruptcies and Take-Overs," Bell Journal of Economics, The RAND Corporation, vol. 3(2), pages 458-482, Autumn.
    28. Grunert, Jens & Norden, Lars & Weber, Martin, 2005. "The role of non-financial factors in internal credit ratings," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 509-531, February.
    29. Nevins D. Baxter, 1967. "Leverage, Risk Of Ruin And The Cost Of Capital," Journal of Finance, American Finance Association, vol. 22(3), pages 395-403, September.
    30. Scott, James H, Jr, 1977. "Bankruptcy, Secured Debt, and Optimal Capital Structure," Journal of Finance, American Finance Association, vol. 32(1), pages 1-19, March.
    31. Maria Psillaki, 1998. "Une présentation critique des mécanismes de révélation appliqués au marché du crédit," Revue Française d'Économie, Programme National Persée, vol. 13(2), pages 29-58.
    32. Keasey, K & McGuinness, P & Short, H, 1990. "Multilogit approach to predicting corporate failure--Further analysis and the issue of signal consistency," Omega, Elsevier, vol. 18(1), pages 85-94.
    33. Stewart C. Myers, 2001. "Capital Structure," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 81-102, Spring.
    34. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    35. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    36. Guesnerie, Roger & Laffont, Jean-Jacques, 1984. "A complete solution to a class of principal-agent problems with an application to the control of a self-managed firm," Journal of Public Economics, Elsevier, vol. 25(3), pages 329-369, December.
    37. Rebecca Demsetz & Marc R. Saidenberg & Philip E. Strahan, 1996. "Banks with something to lose: the disciplinary role of franchise value," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Oct), pages 1-14.
    38. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-868, September.
    39. Wette, Hildegard C, 1983. "Collateral in Credit Rationing in Markets with Imperfect Information: Note," American Economic Review, American Economic Association, vol. 73(3), pages 442-445, June.
    40. 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.
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    More about this item

    Keywords

    G21 Credit risk Data envelopment analysis (DEA) Directional distance functions Bankruptcy prediction;

    JEL classification:

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

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