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Citations for " Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress"

by Frydman, Halina & Altman, Edward I & Kao, Duen-Li

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  1. Ostermark, Ralf & Hoglund, Rune, 1998. "Addressing the multigroup discriminant problem using multivariate statistics and mathematical programming," European Journal of Operational Research, Elsevier, vol. 108(1), pages 224-237, July.
  2. Esteban Alfaro Cortés & Matías Gámez Martínez & Noelia García Rubio, 2007. "Multiclass Corporate Failure Prediction by Adaboost.M1," International Advances in Economic Research, International Atlantic Economic Society, vol. 13(3), pages 301-312, August.
  3. Sami Ben Jabeur & Youssef Fahmi, 2014. "Les modèles de prévision de la défaillance des entreprises françaises : une approche comparative," Working Papers 2014-317, Department of Research, Ipag Business School.
  4. Tor Jacobson & Rikard Kindell & Jesper Linde & Kasper Roszbach, 2008. "Firm default and aggregate fluctuations," Working Papers 08-21, Federal Reserve Bank of Philadelphia.
  5. Misund, Bård, 2015. "Financial Ratios and Prediction on Corporate Bankruptcy in the Atlantic Salmon Industry," UiS Working Papers in Economics and Finance 2015/9, University of Stavanger.
  6. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
  7. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
  8. Roy Batchelor & George Albanis, 2002. "Combining Heterogeneous Classifiers for Stock Selection," Working Papers wp02-01, Warwick Business School, Finance Group.
  9. David Feldman & Shulamith Gross, 2005. "Mortgage Default: Classification Trees Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 30(4), pages 369-396, June.
  10. Antonio David Somoza Lopez & Josep Vallverdu Calafell, 2003. "Una comparacion de la seleccion de los ratios contables en los modelos contable-financieros de prediccion de la insolvencia empresarial," Working Papers in Economics 94, Universitat de Barcelona. Espai de Recerca en Economia.
  11. Leon G. Shilton & John Teall, 1994. "Option-Based Prediction of Commercial Mortgage Defaults," Journal of Real Estate Research, American Real Estate Society, vol. 9(2), pages 219-236.
  12. Dimitras, A. I. & Slowinski, R. & Susmaga, R. & Zopounidis, C., 1999. "Business failure prediction using rough sets," European Journal of Operational Research, Elsevier, vol. 114(2), pages 263-280, April.
  13. Salehi Mahdi & Rostami Neda, 2013. "Bankruptcy Prediction By Using Support Vector Machines And Genetic Algorithms," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(1), pages 104-114, April.
  14. Carlos Serrano-Cinca, 1997. "Feedforward neural networks in the classification of financial information," The European Journal of Finance, Taylor & Francis Journals, vol. 3(3), pages 183-202.
  15. 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.
  16. Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
  17. Platt, Harlan D. & Platt, Marjorie B., 2006. "Understanding Differences Between Financial Distress and Bankruptcy," Review of Applied Economics, Review of Applied Economics, vol. 2(2).
  18. Cochran, James J. & Darrat, Ali F. & Elkhal, Khaled, 2006. "On the bankruptcy of internet companies: An empirical inquiry," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1193-1200, October.
  19. Guray Kucukkocaoglu & Ozge Sezgin Alp, 2012. "IPO mechanism selection by using Classification and Regression Trees," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(3), pages 873-888, April.
  20. Mohammad Saleh JAHUR & S. M. Nasrul QUADIR, 2012. "Financial Distress in Small and Medium Enterprises (SMES) of Bangladesh: Determinants and Remedial Measures," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 46-61, June.
  21. Virág, Miklós & Kristóf, Tamás, 2005. "Az első hazai csődmodell újraszámítása neurális hálók segítségével
    [Recalculation of the first Hungarian bankruptcy-prediction model using neural networks]
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 144-162.
  22. Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
  23. Mario Situm, 2014. "Inability of Gearing-Ratio as Predictor for Early Warning Systems," Business Systems Research, Society for Promotion of Business Information Technology (BIT), vol. 5(2), pages 23-45.
  24. 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.
  25. Kattan, Michael W. & Cooper, Randolph B., 2000. "A simulation of factors affecting machine learning techniques: an examination of partitioning and class proportions," Omega, Elsevier, vol. 28(5), pages 501-512, October.
  26. Bastos, Joao, 2007. "Credit scoring with boosted decision trees," MPRA Paper 8034, University Library of Munich, Germany.
  27. Harlan D. Platt & Marjorie B. Platt, 2008. "Financial Distress Comparison Across Three Global Regions," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 1(1), pages 129-162, December.
  28. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
  29. Cakir, Murat, 2005. "Firma Başarısızlığının Dinamiklerinin Belirlenmesinde Makina Öğrenmesi Teknikleri: Ampirik Uygulamalar ve Karşılaştırmalı Analiz
    [Machine Learning Techniques in Determining the Dynamics of Corporat
    ," MPRA Paper 55975, University Library of Munich, Germany.
  30. du Jardin, Philippe & Severin, Eric, 2011. "Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time," MPRA Paper 39935, University Library of Munich, Germany, revised 03 Apr 2012.
  31. Aaro Hazak & Kadri Männasoo, 2007. "Indicators of corporate default : an EU based empirical study," Bank of Estonia Working Papers 2007-10, Bank of Estonia, revised 04 Sep 2007.
  32. du Jardin, Philippe, 2012. "The influence of variable selection methods on the accuracy of bankruptcy prediction models," MPRA Paper 44383, University Library of Munich, Germany.
  33. Deyanira Bernal Dom¨ªnguez & Mar¨ªa Luisa Saavedra Garc¨ªa & Lydia Mar¨ªa L¨®pez Barraza, 2014. "Financial Analysis Management of Companies in a Region of Mexico: the Need of a Financial Ratios Annual Directory," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 64-78, August.
  34. Alessandro Zeli, 2014. "The financial distress indicators trend in Italy: an analysis of medium-size enterprises," Eurasian Economic Review, Eurasia Business and Economics Society, vol. 4(2), pages 199-221, December.
  35. 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.
  36. LaDue, Eddy L. & Miller, Lynn H. & Kwiatkowski, Joseph H., 1990. "Investment Behavior And Energy Conservation," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(2), October.
  37. Josep M. Argilés, 1998. "Accounting information and the prediction of farm viability," Economics Working Papers 277, Department of Economics and Business, Universitat Pompeu Fabra.
  38. Espahbodi, Hassan & Espahbodi, Pouran, 2003. "Binary choice models and corporate takeover," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 549-574, April.
  39. Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2005. "Exploring interactions between real activity and the financial stance," Journal of Financial Stability, Elsevier, vol. 1(3), pages 308-341, April.
  40. Llano Monelos Pablo De & Piñeiro Sánchez Carlos & Rodríguez López Manuel, 2014. "DEA as a business failure prediction tool. Application to the case of galician SMEs," Contaduría y Administración, Accounting and Management, vol. 59(2), pages 65-96, abril-jun.
  41. Barniv, Ran & Mehrez, Abraham & Kline, Douglas M., 2000. "Confidence intervals for controlling the probability of bankruptcy," Omega, Elsevier, vol. 28(5), pages 555-565, October.
  42. de Andres, Javier & Landajo, Manuel & Lorca, Pedro, 2005. "Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case," European Journal of Operational Research, Elsevier, vol. 167(2), pages 518-542, December.
  43. Poon, Winnie P. H. & Firth, Michael & Fung, Hung-Gay, 1999. "A multivariate analysis of the determinants of Moody's bank financial strength ratings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(3), pages 267-283, August.
  44. Pablo de Llano Monelos & Manuel Rodríguez López & Carlos Piñeiro Sánchez, 2013. "Bankruptcy Prediction Models in Galician companies. Application of Parametric Methodologies and Artificial Intelligence," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 117-136.
  45. Maurice Peat, 2001. "Bankruptcy Probability: A Theoretical and Empirical Examination," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 20, August.
  46. Carling, Kenneth & Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2007. "Corporate credit risk modeling and the macroeconomy," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 845-868, March.
  47. An, Xudong & Deng, Yongheng & Gabriel, Stuart A., 2011. "Asymmetric information, adverse selection, and the pricing of CMBS," Journal of Financial Economics, Elsevier, vol. 100(2), pages 304-325, May.
  48. Paolo Angelis & Fulvio Gismondi & Riccardo Ottaviani, 1994. "A non-parametric statistical model for the control of Italian insurance companies," Decisions in Economics and Finance, Springer, vol. 17(1), pages 69-84, March.
  49. Fernando García & Francisco Guijarro & Ismael Moya, 2013. "Monitoring credit risk in the social economy sector by means of a binary goal programming model," Service Business, Springer, vol. 7(3), pages 483-495, September.
  50. Wolfgang K. Härdle & Rouslan A. Moro & Dorothea Schäfer, 2004. "Rating Companies with Support Vector Machines," Discussion Papers of DIW Berlin 416, DIW Berlin, German Institute for Economic Research.
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