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Financial Ratios And The Probabilistic Prediction Of Bankruptcy

Citations

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Cited by:

  1. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2014. "The long of it: Odds that investor sentiment spuriously predicts anomaly returns," Journal of Financial Economics, Elsevier, vol. 114(3), pages 613-619.
  2. A. Mendes & R. L. Cardoso & P. C. Mário & A. L. Martinez & F. R. Ferreira, 2014. "Insolvency Prediction In The Presence Of Data Inconsistencies," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(3), pages 155-167, July.
  3. Christine V. Zavgren & Michael T. Dugan & James M. Reeve, 1988. "The Association Between Probabilities of Bankruptcy and Market Responses—A Test of Market Anticipation," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 15(1), pages 27-45, March.
  4. Yue Qiu & Jiabei He & Zhensong Chen & Yinhong Yao & Yi Qu, 2024. "A novel semisupervised learning method with textual information for financial distress prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2478-2494, November.
  5. Guotai Chi & Fengshan Bai & Hongping Tan & Ying Zhou, 2025. "Default Prediction Framework With Optimal Feature Set and Matching Ratio," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(7), pages 2067-2088, November.
  6. 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.
  7. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
  8. M. A. Lagesh & Maram Srikanth & Debashis Acharya, 2018. "Corporate Performance during Business Cycles: Evidence from Indian Manufacturing Firms," Global Business Review, International Management Institute, vol. 19(5), pages 1261-1274, October.
  9. Rodríguez Fuentes, Christian C. & Maté Sánchez-Val, Mariluz & López Hernández, Fernando A., 2016. "La proximidad geográfica en el contagio del fracaso empresarial en la pyme: Una aplicación empírica con el modelo probit espacia/The Geographic Proximity in the Spillover Effects of Business Failure i," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 619-638, Agosto.
  10. Matthew Smith & Francisco Alvarez, 2022. "Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 263-295, January.
  11. Arvind Shrivastava & Kuldeep Kumar & Nitin Kumar, 2018. "Business Distress Prediction Using Bayesian Logistic Model for Indian Firms," Risks, MDPI, vol. 6(4), pages 1-15, October.
  12. Jiaming Liu & Xuemei Zhang & Haitao Xiong, 2024. "Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1625-1660, August.
  13. Degryse, Hans & Mariathasan, Mike & Tang, Hien T., 2023. "GSIB status and corporate lending," Journal of Corporate Finance, Elsevier, vol. 80(C).
  14. Boda, Daniel & Luptak, Martin & Pitlik, Laszlo & Szucs, Gabor & Takacs, Istvan, 2016. "Prediction of Insolvency of Hungarian Micro Enterprises," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016, pages 352-359, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
  15. Marco Botta & Luca Colombo, 2016. "Macroeconomic and Institutional Determinants of Capital Structure Decisions," DISCE - Working Papers del Dipartimento di Economia e Finanza def038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  16. Zamora-Ramírez, Constancio & Morales-Díaz, José, 2018. "The Use of Fair Value Measurement in Financial Reporting: A Literature Review/La Utilización del Valor Razonable en la Contabilidad: Revisión de la Literatura," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 489-514, Mayo.
  17. Gavious, Ilanit & Milo, Orit & Weihs, Hagit, 2025. "Analysts’ bankruptcy prediction: revisiting the information value added by financial experts," Finance Research Letters, Elsevier, vol. 85(PD).
  18. Fawad Ahmad, 2025. "The Relationship Between Intellectual Capital, Financial Stability, Firm Performance, Market Value, and Bankruptcy Risk: Empirical Evidence from Pakistan," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1347-1395, March.
  19. Yajiao Tang & Junkai Ji & Yulin Zhu & Shangce Gao & Zheng Tang & Yuki Todo, 2019. "A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction," Complexity, Hindawi, vol. 2019, pages 1-21, August.
  20. Jiaqi Kuang & Zihao Guo & Jinghan Wang & Yezhen Wang & Kaiwen Zhang, 2026. "Financial distress prediction using signatures: evidence from Chinese listed firms," Risk Management, Palgrave Macmillan, vol. 28(1), pages 1-27, February.
  21. Wei Xu & Yuchen Pan & Wenting Chen & Hongyong Fu, 2019. "Forecasting Corporate Failure in the Chinese Energy Sector: A Novel Integrated Model of Deep Learning and Support Vector Machine," Energies, MDPI, vol. 12(12), pages 1-20, June.
  22. Michał Thor & Łukasz Postek, 2024. "Gated recurrent unit network: A promising approach to corporate default prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1131-1152, August.
  23. Lohmann, Christian & Möllenhoff, Steffen, 2023. "How do bankruptcy risk estimations change in time? Empirical evidence from listed US companies," Finance Research Letters, Elsevier, vol. 58(PB).
  24. Polsiri, Piruna & Jiraporn, Pornsit, 2012. "Political connections, ownership structure, and financial institution failure," Journal of Multinational Financial Management, Elsevier, vol. 22(1), pages 39-53.
  25. 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.
  26. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01314553, HAL.
  27. Xinzhong Bao & Qiuyan Tao & Hongyu Fu, 2015. "Dynamic financial distress prediction based on Kalman filtering," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(2), pages 292-308, February.
  28. Kwon, Kyung Yoon & Min, Byoung-Kyu & Sun, Chenfei, 2022. "Enhancing the profitability of lottery strategies," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 166-184.
  29. Xiangxing Tao & Mingxin Wang & Yanting Ji, 2023. "The Application of Graph-Structured Cox Model in Financial Risk Early Warning of Companies," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
  30. Parag Pendharkar & Marvin Troutt, 2014. "Interactive classification using data envelopment analysis," Annals of Operations Research, Springer, vol. 214(1), pages 125-141, March.
  31. Hamadi Matoussi & Rim Mouelhi & Sayah Salah, 1999. "La Prediction De Faillite Des Entreprises Tunisiennes Par La Regression Logistique," Post-Print halshs-00587769, HAL.
  32. Yang, Tung-Hsiao & Hsu, Junming & Yang, Wen-Ben, 2016. "Firm's motives behind SEOs, earnings management, and performance," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 160-169.
  33. John W. Pacey & Toan M. Pham, 1990. "The Predictiveness of Bankruptcy Models: Methodological Problems and Evidence," Australian Journal of Management, Australian School of Business, vol. 15(2), pages 315-337, December.
  34. Wiklund, Johan & Baker, Ted & Shepherd, Dean, 2010. "The age-effect of financial indicators as buffers against the liability of newness," Journal of Business Venturing, Elsevier, vol. 25(4), pages 423-437, July.
  35. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  36. Koresh Galil & Neta Gilat, 2019. "Predicting Default More Accurately: To Proxy or Not to Proxy for Default?," International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 731-758, December.
  37. 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.
  38. Aggarwal, Nidhi & Singh, Manish K. & Thomas, Susan, 2023. "Do decreases in Distance-to-Default predict rating downgrades?," Economic Modelling, Elsevier, vol. 129(C).
  39. Kirchesch, Kai, 2004. "Financial Risks, Bankruptcy Probabilities, and the Investment Behaviour of Enterprises," HWWA Discussion Papers 299, Hamburg Institute of International Economics (HWWA).
  40. He, Wei & Su, Zhiwei & Yu, Jianfeng, 2024. "Macroeconomic perceptions, financial constraints, and anomalies," Journal of Financial Economics, Elsevier, vol. 162(C).
  41. K.K. Jain & P.K. Gupta & Sanjiv Mittal, 2011. "Logistic Predictive Model for SMEs Financing in India," Vision, , vol. 15(4), pages 331-346, December.
  42. Casado Yusta, Silvia & Nœ–ez Letamendía, Laura & Pacheco Bonrostro, Joaqu’n Antonio, 2018. "Predicting Corporate Failure: The GRASP-LOGIT Model || Predicci—n de la quiebra empresarial: el modelo GRASP-LOGIT," 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 294-314, Diciembre.
  43. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019. "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, vol. 39(C), pages 44-57.
  44. Shane Magee, 2013. "The effect of foreign currency hedging on the probability of financial distress," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(4), pages 1107-1127, December.
  45. Mãdãlina Ecaterina POPESCU, 2015. "Proposal for a Decision Support System to Predict Financial Distress," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 16(1), pages 112-118, March.
  46. Milica Vukčević & Milan Lakićević & Boban Melović & Tamara Backović & Branislav Dudić, 2024. "Modern models for predicting bankruptcy to detect early signals of business failure: Evidence from Montenegro," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-19, May.
  47. Sabek Amine, 2023. "Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 9(1), pages 16-32, July.
  48. Sattar A. Mansi & William F. Maxwell & Darius P. Miller, 2004. "Does Auditor Quality and Tenure Matter to Investors? Evidence from the Bond Market," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 42(4), pages 755-793, September.
  49. Duan, Ran, 2023. "Patent trolls and capital structure decisions in high-tech firms," Journal of Banking & Finance, Elsevier, vol. 155(C).
  50. William H. Beaver & Maria Correia & Maureen F. McNichols, 2012. "Do differences in financial reporting attributes impair the predictive ability of financial ratios for bankruptcy?," Review of Accounting Studies, Springer, vol. 17(4), pages 969-1010, December.
  51. Moro Russ A. & Härdle Wolfgang K. & Schäfer Dorothea, 2017. "Company rating with support vector machines," Statistics & Risk Modeling, De Gruyter, vol. 34(1-2), pages 55-67, June.
  52. Jim Sánchez & Diego Restrepo & Andres Ram�rez, 2018. "Inefficiency and Bank Failures: A Joint Bayesian Esti-mationof a Stochastic Frontier Model and a Hazards Model," Documentos de Trabajo de Valor Público 16977, Universidad EAFIT.
  53. Jun Wang & Mao Li & Martin Skitmore & Jianli Chen, 2024. "Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
  54. Maria Correia & Scott Richardson & İrem Tuna, 2012. "Value investing in credit markets," Review of Accounting Studies, Springer, vol. 17(3), pages 572-609, September.
  55. Alessandra Amendola & Francesco Giordano & Maria Lucia Parrella & Marialuisa Restaino, 2017. "Variable selection in high‐dimensional regression: a nonparametric procedure for business failure prediction," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 33(4), pages 355-368, August.
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  57. Wenshuai Wu, 2022. "Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data," Complexity, John Wiley & Sons, vol. 2022(1).
  58. Almamy, Jeehan & Aston, John & Ngwa, Leonard N., 2016. "An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK," Journal of Corporate Finance, Elsevier, vol. 36(C), pages 278-285.
  59. Hyunjung Nam & Won Gyun No & Youngsu Lee, 2017. "Are Commercial Financial Databases Reliable? New Evidence from Korea," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
  60. Michal Matv{e}jka & Kenneth A. Merchant & Wim A. Van der Stede, 2009. "Employment Horizon and the Choice of Performance Measures: Empirical Evidence from Annual Bonus Plans of Loss-Making Entities," Management Science, INFORMS, vol. 55(6), pages 890-905, June.
  61. Alnoor Bhimani & Mohamed Azzim Gulamhussen & Samuel Rocha Lopes, 2014. "Owner liability and financial reporting information as predictors of firm default in bank loans," Review of Accounting Studies, Springer, vol. 19(2), pages 769-804, June.
  62. Shilpa H. Shetty & Theresa Nithila Vincent, 2021. "The Role of Board Independence and Ownership Structure in Improving the Efficacy of Corporate Financial Distress Prediction Model: Evidence from India," JRFM, MDPI, vol. 14(7), pages 1-13, July.
  63. Iotti, Mattia, . "Financial evaluation and credit access of agricultural firms," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 25(2).
  64. K. C. Kenneth Chu & W. H. Sophia Zhai, 2021. "Distress risk puzzle and analyst forecast optimism," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 429-460, August.
  65. Dror Parnes, 2010. "The information content of analysts reports and bankruptcy risk measures," Applied Financial Economics, Taylor & Francis Journals, vol. 20(19), pages 1499-1513.
  66. Ni, Xiaoran & Xu, Hongmei, 2023. "Are short selling threats beneficial to creditors? Insights from corporate default risk," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
  67. José Willer Prado & Valderí Castro Alcântara & Francisval Melo Carvalho & Kelly Carvalho Vieira & Luiz Kennedy Cruz Machado & Dany Flávio Tonelli, 2016. "Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1007-1029, March.
  68. Wang, Baolian, 2019. "The cash conversion cycle spread," Journal of Financial Economics, Elsevier, vol. 133(2), pages 472-497.
  69. Lorenzo Gai & Maria Cristina Arcuri & Federica Ielasi, 2023. "How does government-backed finance affect SMEs’ crisis predictors?," Small Business Economics, Springer, vol. 61(3), pages 1205-1229, October.
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  71. Lyandres, Evgeny & Zhdanov, Alexei, 2013. "Investment opportunities and bankruptcy prediction," Journal of Financial Markets, Elsevier, vol. 16(3), pages 439-476.
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  77. Bose, Indranil & Pal, Raktim, 2006. "Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach," European Journal of Operational Research, Elsevier, vol. 174(2), pages 959-982, October.
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  81. Josep M. Argilés, 2002. "Importancia de la información contable para el análisis y predicción de la viabilidad de las explotaciones agrícolas," Economics Working Papers 612, Department of Economics and Business, Universitat Pompeu Fabra.
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  112. Neyland, Jordan & Shekhar, Chander, 2018. "How much is too much? Large termination fees and target distress," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 97-112.
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  114. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Documents de travail du Centre d'Economie de la Sorbonne 16026, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  115. Ruey-Ching Hwang & Chih-Kang Chu, 2013. "Forecasting forward defaults: a simple hazard model with competing risks," Quantitative Finance, Taylor & Francis Journals, vol. 14(8), pages 1467-1477, August.
  116. Guedhami, Omrane & Pittman, Jeffrey, 2008. "The importance of IRS monitoring to debt pricing in private firms," Journal of Financial Economics, Elsevier, vol. 90(1), pages 38-58, October.
  117. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
  118. Ali Namaki & Reza Eyvazloo & Shahin Ramtinnia, 2023. "A systematic review of early warning systems in finance," Papers 2310.00490, arXiv.org.
  119. Richardson, Grant & Lanis, Roman & Taylor, Grantley, 2015. "Financial distress, outside directors and corporate tax aggressiveness spanning the global financial crisis: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 112-129.
  120. Simpson, Marc W. & Grossmann, Axel, 2024. "The resurrected size effect still sleeps in the (monetary) winter," International Review of Financial Analysis, Elsevier, vol. 92(C).
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  1406. Xu, Jack, 2022. "Fundamental Credit Analysis through Dynamical Modeling and Simulation of the Balance Sheet: Applications to Chinese Real Estate Developers," MPRA Paper 112699, University Library of Munich, Germany.
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