IDEAS home Printed from https://ideas.repec.org/r/spr/jecfin/v26y2002i2p184-199.html
   My bibliography  Save this item

Predicting corporate financial distress: Reflections on choice-based sample bias

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Rassoul Yazdipour & Richard Constand, 2010. "Predicting Firm Failure: A Behavioral Finance Perspective," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 14(3), pages 90-104, Fall.
  2. Giovanis, eleftheios, 2008. "A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods," MPRA Paper 24659, University Library of Munich, Germany.
  3. Dean D Akinleye & Louise-Anne McNutt & Victoria Lazariu & Colleen C McLaughlin, 2019. "Correlation between hospital finances and quality and safety of patient care," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-19, August.
  4. Virág, Miklós & Nyitrai, Tamás, 2017. "Magyar vállalkozások felszámolásának előrejelzése pénzügyi mutatóik idősorai alapján [Predicting the liquidation of Hungarian firms using a time series of their financial ratios]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 305-324.
  5. Nadine Levratto & Luc Tessier & Messaoud Zouikri, 2011. "Small, alone and poor: a merciless portrait of insolvent French firms, 2007-2010," EconomiX Working Papers 2011-36, University of Paris Nanterre, EconomiX.
  6. Oscar Martínez, 2003. "Determinantes De Fragilidad En Las Empresas Colombianas," Borradores de Economia 2300, Banco de la Republica.
  7. Harlan D. Platt & Marjorie B. Platt, 2008. "Financial Distress Comparison Across Three Global Regions," JRFM, MDPI, vol. 1(1), pages 1-34, December.
  8. Bolek Monika & Gniadkowska-Szymańska Agata, 2019. "Financial Liquidity as a Factor Determining the Economic Condition of Companies on the Capital Market in Relation to Bankruptcy Law in Poland," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 15(1), pages 1-9, March.
  9. Jorge Dietrich & F. J. Arcelus & G. Srinivasan, 2005. "Predicting financial failure: some evidence from new brunswick agricultural co‐ops," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 76(2), pages 179-194, June.
  10. Nadine Levratto & Luc Tessier & Messaoud Zouikri, 2011. "Small, alone and poor: a merciless portrait of insolvent French firms, 2007-2010," Working Papers hal-04140945, HAL.
  11. Galya Taseva, 2020. "Determinants of Short-term Liabilities of Financially Distressed SME-s," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 5-24.
  12. Marek Gruszczyński, 2019. "On Unbalanced Sampling in Bankruptcy Prediction," IJFS, MDPI, vol. 7(2), pages 1-13, June.
  13. Nick Wilson & Mike Wright, 2013. "Private Equity, Buy-outs and Insolvency Risk," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(7-8), pages 949-990, September.
  14. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
  15. 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.
  16. 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.
  17. Luca Ianni & Gianluca Marullo & Stefania Migliori & Francesco De Luca, 2021. "I modelli predittivi della crisi e dell?insolvenza aziendale. Una systematic review," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(2), pages 127-146.
  18. Yufei Cao & Abdulmajeed Mawhan H. Alfadhli & Mohammad Jaradat & Ramona Lile & Mihaela Gadoiu & Mariana Banuta & Daniela Mihai & Malik Shahzad Shabbir, 2024. "The impact of accounting practices on financial sustainability: A study of external block-holders and institutional ownership," Review of Managerial Science, Springer, vol. 18(7), pages 1945-1961, July.
  19. Sofie Balcaen & Sophie Manigart & Jozefien Buyze & Hubert Ooghe, 2012. "Firm exit after distress: differentiating between bankruptcy, voluntary liquidation and M&A," Small Business Economics, Springer, vol. 39(4), pages 949-975, November.
  20. Riyana Sari & Mokhamad Anwar & Leni Susanti, 2019. "Analysis of Financial Distress Model with Altman, Zmijewski and CA Score in Predicting the Condition of Financial Distress in Manufacturing Public Companies in Indonesia," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(1), pages 114-131, March.
  21. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
  22. du Jardin, Philippe, 2021. "Forecasting corporate failure using ensemble of self-organizing neural networks," European Journal of Operational Research, Elsevier, vol. 288(3), pages 869-885.
  23. Chiuling Lu & Ann Yang & Jui-Feng Huang, 2015. "Bankruptcy predictions for U.S. air carrier operations: a study of financial data," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 574-589, July.
  24. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
  25. 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.
  26. Jaroslaw Kaczmarek & Sergio Luis Nanez Alonso & Andrzej Sokolowski & Kamil Fijorek & Sabina Denkowska, 2021. "Financial threat profiles of industrial enterprises in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 463-498, June.
  27. Philippe Jardin, 2021. "Forecasting bankruptcy using biclustering and neural network-based ensembles," Annals of Operations Research, Springer, vol. 299(1), pages 531-566, April.
  28. Luca Sensini, 2016. "An Empirical Analysis of Financially Distressed Italian Companies," International Business Research, Canadian Center of Science and Education, vol. 9(10), pages 75-85, October.
  29. Lu, Yang-Cheng & Shen, Chung-Hua & Wei, Yu-Chen, 2013. "Revisiting early warning signals of corporate credit default using linguistic analysis," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 1-21.
  30. Arati Kale & Devendra Kale & Sriram Villupuram, 2024. "Decomposition of risk for small size and low book-to-market stocks," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 96-112, February.
  31. Ömer Serkan Gülal & Gökhan Seçme & Eda Köse, 2023. "Predicting Financial Distress in the BIST Industrials Index: Evaluating Traditional Models and Clustering Techniques," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 8(4), pages 660-680.
  32. 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.
  33. 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.
  34. Bhanu Pratap Singh & Alok Kumar Mishra, 2016. "Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-28, December.
  35. du Jardin, Philippe, 2009. "Bankruptcy prediction models: How to choose the most relevant variables?," MPRA Paper 44380, University Library of Munich, Germany.
  36. Adhitya Agri Putra & D.P. Emrinaldi Nur & Ferdy Putra, 2021. "Oil Price Crisis and Bankruptcy Risk," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 7-13.
  37. 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.
  38. Samuel Kiemo (PhD) & Cyrus Mugo, 2021. "Banking Sector Consolidation and Stability in Kenya," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-6.
  39. Jarosław Kaczmarek & Konrad Kolegowicz & Wojciech Szymla, 2022. "Restructuring of the Coal Mining Industry and the Challenges of Energy Transition in Poland (1990–2020)," Energies, MDPI, vol. 15(10), pages 1-48, May.
  40. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
  41. Oscar Martínez A., 2003. "Determinantes de Fragilidad en las Empresas Colombianas," Borradores de Economia 259, Banco de la Republica de Colombia.
  42. Hernandez Tinoco, Mario & Holmes, Phil & Wilson, Nick, 2018. "Polytomous response financial distress models: The role of accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 276-289.
  43. Sebastian Klaudiusz Tomczak, 2020. "Multi-class Models for Assessing the Financial Condition of Manufacturing Enterprises," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(2), June.
  44. Sumani Sumani, 2019. "The Structure of Good Corporate Governance and Financial Indicators as Predictor of Financial Distress in Mining Sector Company in Indonesia," Research in Business and Management, Macrothink Institute, vol. 6(1), pages 1-12, February.
  45. Alessandro Capocchi, 2023. "Assessing the Vulnerability of a Business: The State of Its Health," Springer Books, in: Vulnerability and the Corporate Immune System, chapter 0, pages 55-80, Springer.
  46. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
  47. Rafał Balina & Marta Idasz-Balina & Noer Azam Achsani, 2021. "Predicting Insolvency of the Construction Companies in the Creditworthiness Assessment Process—Empirical Evidence from Poland," JRFM, MDPI, vol. 14(10), pages 1-16, September.
  48. Jarosław Kaczmarek, 2019. "The Mechanisms of Creating Value vs. Financial Security of Going Concern—Sustainable Management," Sustainability, MDPI, vol. 11(8), pages 1-24, April.
  49. Sami BEN JABEUR & Youssef FAHMI, 2014. "Predicting Business Failure Using Data-Mining Methods," Working Papers 2014-308, Department of Research, Ipag Business School.
  50. Talam, Camilla & Kiemo, Samuel, 2024. "Interest rate risk in Kenya: The banking sector stability and fiscal risks nexus," KBA Centre for Research on Financial Markets and Policy Working Paper Series 80, Kenya Bankers Association (KBA).
  51. Theodore Metaxas & Athanasios Romanopoulos, 2023. "A Literature Review on the Financial Determinants of Hotel Default," JRFM, MDPI, vol. 16(7), pages 1-19, July.
  52. 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.
  53. A. N. Adi & Z. Baridwan & E. Mardiati, 2018. "Profitability, Liquidity, Leverage and Corporate Governance Impact on Financial Statement Fraud and Financial Distress as Intervening Variable," Вестник Киевского национального университета имени Тараса Шевченко. Экономика., Socionet;Киевский национальный университет имени Тараса Шевченко, vol. 5(200), pages 66-74.
  54. Dariusz Wędzki, 2005. "Multivariate analysis of bankruptcy on the example of building industry," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 15(2), pages 59-81.
  55. Giriati, 2018. "Determinants of the Success of Corporate Recovery in Financial Distressed Company," GATR Journals jfbr141, Global Academy of Training and Research (GATR) Enterprise.
  56. Velia Gabriella Cenciarelli & Marco Maria Mattei & Giulio Greco, 2020. "Pressione competitiva e previsione dell?insolvenza," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2020(3), pages 35-58.
  57. Sami BEN JABEUR & Youssef FAHMI, 2014. "Default Prediction for Small-Medium Enterprises in France: A comparative approach," Working Papers 2014-319, Department of Research, Ipag Business School.
  58. Samir Trabelsi & Roc He & Lawrence He & Martin Kusy, 2015. "A comparison of Bayesian, Hazard, and Mixed Logit model of bankruptcy prediction," Computational Management Science, Springer, vol. 12(1), pages 81-97, January.
  59. Dody Hapsoro & Tiara Rani Santoso, 2018. "Does Audit Quality Mediate the Effect of Auditor Tenure, Abnormal Audit Fee and Auditor's Reputation on Giving Going Concern Opinion?," International Journal of Economics and Financial Issues, Econjournals, vol. 8(1), pages 143-152.
  60. Situm Mario, 2014. "Inability of Gearing-Ratio as Predictor for Early Warning Systems," Business Systems Research, Sciendo, vol. 5(2), pages 23-45, September.
  61. Chih‐Chun Chen & Chun‐Da Chen & Donald Lien, 2020. "Financial distress prediction model: The effects of corporate governance indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1238-1252, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.