Predicting Corporate Failure Using a Neural Network Approach
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Abstract
Suggested Citation
DOI: 10.1002/j.1099-1174.1995.tb00083.x
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References listed on IDEAS
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Citations
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Cited by:
- Balcaen S. & Ooghe H., 2004.
"Alternative methodologies in studies on business failure: do they produce better results than the classic statistical methods?,"
Vlerick Leuven Gent Management School Working Paper Series
2004-16, Vlerick Leuven Gent Management School.
- S. Balcaen & H. Ooghe, 2004. "Alternative methodologies in studies on business failure: do they produce better results than the classical statistical methods?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/249, Ghent University, Faculty of Economics and Business Administration.
- 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.
- Paul P. M. Pompe & Jan Bilderbeek, 2005. "Bankruptcy prediction: the influence of the year prior to failure selected for model building and the effects in a period of economic decline," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(2), pages 95-112, June.
- Jayasekera, Ranadeva, 2018. "Prediction of company failure: Past, present and promising directions for the future," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 196-208.
- Ehsan Habib Feroz & Taek Mu Kwon & Victor S. Pastena & Kyungjoo Park, 2000. "The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(3), pages 145-157, September.
- Daniel E. O'Leary, 2010. "Intelligent Systems in Accounting, Finance and Management: ISI journal and proceeding citations, and research issues from most‐cited papers," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 17(1), pages 41-58, January.
- Ghassan Hossari, 2012. "Optimising errors in signaling corporate collapse using MCCCRA," International Journal of Accounting and Information Management, Emerald Group Publishing, vol. 20(3), pages 300-316, July.
- Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
- Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.
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