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Bankruptcy Risk and Productive Efficiency in Manufacturing Firms

Author

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  • Leonardo Becchetti

    () (University of Rome II - Faculty of Economics)

  • Jaime Humberto Sierra Gonzalez 2

    () (Pontifical University Javeriana Inicio - Department of Economics)

Abstract

The paper investigates the determinants of bankruptcy in three representative unbalanced samples of Italian firms for the periods 1989-1991, 1992-94 and 1995-97. Two important results are that: i) the degree of relative firm inefficiency measured as the distance from the efficient frontier has significant explanatory power in predicting bankruptcy ii) qualitative regressors such as customers' concentration and strength and proximity of competitors have significant predictive power and suggest that banks should not restrict their monitoring activity to balance sheet variables. These findings remain significant after controlling for balance sheet liquidity and profitability variables usually considered in these estimates

Suggested Citation

  • Leonardo Becchetti & Jaime Humberto Sierra Gonzalez 2, 2003. "Bankruptcy Risk and Productive Efficiency in Manufacturing Firms," CEIS Research Paper 30, Tor Vergata University, CEIS.
    • Handle: RePEc:rtv:ceisrp:30
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    References listed on IDEAS

    as
    1. Luciano Fanti, 1997. "Inefficienza tecnica e di scala: un'applicazione all'industria italiana di una frontiera flessibile di produzione," L'industria, Società editrice il Mulino, issue 2, pages 271-282.
    2. Everett, Jim & Watson, John, 1998. "Small Business Failure and External Risk Factors," Small Business Economics, Springer, vol. 11(4), pages 371-390, December.
    3. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January.
    4. 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.
    5. Sofronis K. Clerides & Saul Lach & James R. Tybout, 1998. "Is Learning by Exporting Important? Micro-Dynamic Evidence from Colombia, Mexico, and Morocco," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 903-947.
    6. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    7. Foglia, A. & Laviola, S. & Marullo Reedtz, P., 1998. "Multiple banking relationships and the fragility of corporate borrowers," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1441-1456, October.
    8. Anil K Kashyap & Owen A. Lamont & Jeremy C. Stein, 1994. "Credit Conditions and the Cyclical Behavior of Inventories," The Quarterly Journal of Economics, Oxford University Press, vol. 109(3), pages 565-592.
    9. Duffie, Darrell & Lando, David, 2001. "Term Structures of Credit Spreads with Incomplete Accounting Information," Econometrica, Econometric Society, vol. 69(3), pages 633-664, May.
    10. Mark Gertler & R. Glenn Hubbard & Anil Kashyap, 1991. "Interest Rate Spreads, Credit Constraints, and Investment Fluctuations: An Empirical Investigation," NBER Chapters, in: Financial Markets and Financial Crises, pages 11-32, National Bureau of Economic Research, Inc.
    11. Hunt-McCool, Janet & Koh, Samuel C & Francis, Bill B, 1996. "Testing for Deliberate Underpricing in the IPO Premarket: A Stochastic Frontier Approach," Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1251-1269.
    12. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
    13. Delgado, Miguel A. & Farinas, Jose C. & Ruano, Sonia, 2002. "Firm productivity and export markets: a non-parametric approach," Journal of International Economics, Elsevier, vol. 57(2), pages 397-422, August.
    14. Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
    15. 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.
    16. Gilson, Stuart C & Vetsuypens, Michael R, 1993. "CEO Compensation in Financially Distressed Firms: An Empirical Analysis," Journal of Finance, American Finance Association, vol. 48(2), pages 425-458, June.
    17. Gilson, Stuart C., 1989. "Management turnover and financial distress," Journal of Financial Economics, Elsevier, vol. 25(2), pages 241-262, December.
    18. David de Meza & David C. Webb, 1987. "Too Much Investment: A Problem of Asymmetric Information," The Quarterly Journal of Economics, Oxford University Press, vol. 102(2), pages 281-292.
    19. Appetiti, Sandro, 1984. "Identifying unsound firms in Italy : An attempt to use trend variables," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 269-279, June.
    20. Nickell, Stephen J, 1996. "Competition and Corporate Performance," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 724-746, August.
    21. Altman, Edward I, 1984. "A Further Empirical Investigation of the Bankruptcy Cost Question," Journal of Finance, American Finance Association, vol. 39(4), pages 1067-1089, September.
    22. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    23. Kaparakis, Emmanuel I & Miller, Stephen M & Noulas, Athanasios G, 1994. "Short-Run Cost Inefficiency of Commercial Banks: A Flexible Stochastic Frontier Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(4), pages 875-893, November.
    24. Allen, Linda & Rai, Anoop, 1996. "Operational efficiency in banking: An international comparison," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 655-672, May.
    25. Xu, Bin, 2000. "The Welfare Implications of Costly Monitoring in the Credit Market: A Note," Economic Journal, Royal Economic Society, vol. 110(463), pages 576-580, April.
    26. 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.
    27. Aly, Hassan Y, et al, 1990. "Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 211-218, May.
    28. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    29. Edward I Altman & Tara K N Baidya & Luis Manoel Ribeiro Dias, 1979. "Assessing Potential Financial Problems for Firms in Brazil," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 10(2), pages 9-24, June.
    30. Vojislav Maksimovic & Gordon Phillips, 1998. "Asset Efficiency and Reallocation Decisions of Bankrupt Firms," Journal of Finance, American Finance Association, vol. 53(5), pages 1495-1532, October.
    31. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    32. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    33. Frydman, Halina & Altman, Edward I & Kao, Duen-Li, 1985. "Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress," Journal of Finance, American Finance Association, vol. 40(1), pages 269-291, March.
    34. Lo, Andrew W., 1986. "Logit versus discriminant analysis : A specification test and application to corporate bankruptcies," Journal of Econometrics, Elsevier, vol. 31(2), pages 151-178, March.
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    More about this item

    Keywords

    bankruptcy prediction; stochastic frontiers; qualitative indicators;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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