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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

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Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 27 (2003)
Issue (Month): 11 (November)
Pages: 2099-2120

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Handle: RePEc:eee:jbfina:v:27:y:2003:i:11:p:2099-2120

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Find related papers by 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

References

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Citations

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Cited by:

1. Ruey-Ching Hwang & Jhao-Siang Siao & Huimin Chung & C. Chu, 2011. "Assessing bankruptcy prediction models via information content of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 36(3), pages 263-273, December.
2. Laura Marta Nuã‘Ez, 2004. "The problem of variable selection for financial distress: applying GRASP methaeuristics," Working Papers Economia wp04-30, Instituto de Empresa, Area of Economic Environment.
3. S. Balcaen & S. Manigart & H. Ooghe, 2009. "From distress to exit: determinants of the time to exit," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/588, Ghent University, Faculty of Economics and Business Administration.
   
   • Sofie Balcaen & Sophie Manigart & Hubert Ooghe, 2011. "From distress to exit: determinants of the time to exit," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 407-446, August.
   • Balcaen, S. & Manigart, S. & Ooghe, H., 2009. "From Distress to exit: determinants of the time to exit," Vlerick Leuven Gent Management School Working Paper Series 2009-12, Vlerick Leuven Gent Management School.
4. S. Balcaen & J. Buyze & H. Ooghe, 2009. "Financial distress and firm exit: determinants of involuntary exits, voluntary liquidations and restructuring exits," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/598, Ghent University, Faculty of Economics and Business Administration.
   
   • Balcaen,S. & Buyze, J. & Ooghe,H., 2009. "Financial distress and firm exit: determinants of involuntary exits, voluntary liquidations and restructuring exits," Vlerick Leuven Gent Management School Working Paper Series 2009-21, Vlerick Leuven Gent Management School.
5. Koetter, M. & Bos, J.W.B. & Heid, F. & Kolari, J.W. & Kool, C.J.M. & Porath, D., 2007. "Accounting for distress in bank mergers," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 3200-3217, October.
   
   • Koetter, Michael & Bos, Jaap W. B. & Heid, Frank & Kool, Clemens J. M. & Kolari, James W. & Porath, Daniel, 2005. "Accounting for distress in bank mergers," Discussion Paper Series 2: Banking and Financial Studies 2005,09, Deutsche Bundesbank, Research Centre.
6. Leonardo Becchetti & Melody Garcia & Giovanni Trovato, 2009. "Credit rationing and credit view: empirical evidence from loan data," CEIS Research Paper 144, Tor Vergata University, CEIS, revised 30 Sep 2009.
7. Dewaelheyns, Nico & Van Hulle, Cynthia, 2004. "The impact of business groups on bankruptcy prediction modeling," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/224113, Katholieke Universiteit Leuven.
   
   • N. Dewaelheyns & C. Van Hulle, 2004. "The Impact of Business Groups on Bankruptcy Prediction Modeling," Review of Business and Economics, Katholieke Universiteit Leuven, Faculteit Economie en Bedrijfswetenschappen, vol. 0(4), pages 623-645.
   • Dewaelheyns, Nico & Van Hulle, Cynthia, 2004. "The impact of business groups on bankruptcy prediction modeling," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/85351, Katholieke Universiteit Leuven.
8. Piruna Polsiri & Kingkarn Sookhanaphibarn, 2009. "Corporate Distress Prediction Models Using Governance and Financial Variables: Evidence from Thai Listed Firms during the East Asian Economic Crisis," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 273-304, July.

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