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Statistical methods for bankruptcy forecasting

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Cited by:

  1. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
  2. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
  3. Nabeel Al-Milli & Amjad Hudaib & Nadim Obeid, 2021. "Population Diversity Control of Genetic Algorithm Using a Novel Injection Method for Bankruptcy Prediction Problem," Mathematics, MDPI, vol. 9(8), pages 1-18, April.
  4. Haider A. Khan, 2002. "Can Banks Learn to Be Rational?," CIRJE F-Series CIRJE-F-151, CIRJE, Faculty of Economics, University of Tokyo.
  5. Moshe Leshno & Yishay Spector, 1997. "The effect of training data set size and the complexity of the separation function on neural network classification capability: The two‐group case," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(8), pages 699-717, December.
  6. DeVaney, Sharon A. & Lytton, Ruth H., 1995. "Household insolvency: A review of household debt repayment, delinquency, and bankruptcy," Financial Services Review, Elsevier, vol. 4(2), pages 137-156.
  7. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "Methodological comparison between DEA (data envelopment analysis) and DEA-DA (discriminant analysis) from the perspective of bankruptcy assessment," European Journal of Operational Research, Elsevier, vol. 199(2), pages 561-575, December.
  8. Haider A. Khan, 2004. "General Conclusions: From Crisis to a Global Political Economy of Freedom," Palgrave Macmillan Books, in: Global Markets and Financial Crises in Asia, chapter 9, pages 193-211, Palgrave Macmillan.
  9. Rambaldi, Alicia N. & Zapata, Hector O. & Christy, Ralph D., 1992. "Selecting The "Best" Prediction Model: An Application To Agricultural Cooperatives," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(1), pages 1-7, July.
  10. Dale J. Menkhaus & Glen D. Whipple & Steven J. Torok & Ray A. Field, 1988. "Developing a marketing strategy for branded, low fat, fresh beef," Agribusiness, John Wiley & Sons, Ltd., vol. 4(1), pages 91-103.
  11. Gemünden, Hans Georg, 1988. "Defekte der empirischen Insolvenzforschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 205, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  12. Khojasteh, Khosrow, 1992. "Effects of farm characteristics and government disaster assistance on multiple-peril crop insurance purchases by Iowa crop farmers," ISU General Staff Papers 1992010108000010841, Iowa State University, Department of Economics.
  13. Harper, Susan D. & Wharton, B. Robert & Traylor, Harlon D., 1985. "A Prediction Of Grain Elevator Bankruptcies Using Linear Discriminant Analysis," 1985 Annual Meeting, August 4-7, Ames, Iowa 278559, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  14. Donal McKillop & John O.S. Wilson, 2011. "Credit Unions: A Theoretical and Empirical Overview," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 20(3), pages 79-123, August.
  15. Premachandra, I.M. & Chen, Yao & Watson, John, 2011. "DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment," Omega, Elsevier, vol. 39(6), pages 620-626, December.
  16. Karen Peursem & Yi Chiann Chan, 2014. "Forecasting New Zealand Corporate Failures 2001–10: Opportunity Lost?," Australian Accounting Review, CPA Australia, vol. 24(3), pages 276-288, September.
  17. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
  18. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry," European Journal of Operational Research, Elsevier, vol. 199(2), pages 576-594, December.
  19. Kaylen, Michael S. & Devino, Gary T. & Procter, Michael H., 1988. "Optimal Use Of Qualitative Models: An Application To Country Grain Elevator Bankruptcies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-7, December.
  20. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
  21. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "Can R&D expenditure avoid corporate bankruptcy? Comparison between Japanese machinery and electric equipment industries using DEA-discriminant analysis," European Journal of Operational Research, Elsevier, vol. 196(1), pages 289-311, July.
  22. Golaszewski, Richard & Sanders, Matthew, 1991. "Financial Stress in the U.S. Airline Industry," Transportation Research Forum Proceedings 1990s 319097, Transportation Research Forum.
  23. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
  24. Tamara Ayœs, Armando Lenin & Villegas, Gladis Cecilia & Leones Castro, María Cristina & Salazar Bocanegra, Juan Antonio, 2018. "Modelaci—n del riesgo de insolvencia en empresas del sector salud empleando modelos logit || Modeling of Insolvency Risk in Health Sector Companies Using Logit Models," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 128-145, Diciembre.
  25. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
  26. In Tae Hwang & Sun Min Kang & Shun Ji Jin, 2014. "A delisting prediction model based on nonfinancial information," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(3), pages 328-347, September.
  27. Chen, Liang-Hsuan & Chiou, Tai-Wei, 1999. "A fuzzy credit-rating approach for commercial loans: a Taiwan case," Omega, Elsevier, vol. 27(4), pages 407-419, August.
  28. Tascón, María T. & Castaño, Francisco J., 2017. "Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection || Selección de variables en el análisis de fracaso de empresas pequeñas: selección de medias frente a se," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 54-88, Diciembre.
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