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Methodological Issues Related To The Estimation Of Financial Distress Prediction Models

Citations

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Cited by:

  1. Wolfgang Härdle & Rouslan A. Moro & Dorothea Schäfer, 2005. "Predicting Bankruptcy with Support Vector Machines," SFB 649 Discussion Papers SFB649DP2005-009, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  2. Joseph Weber & Michael Willenborg & Jieying Zhang, 2008. "Does Auditor Reputation Matter? The Case of KPMG Germany and ComROAD AG," Journal of Accounting Research, Wiley Blackwell, vol. 46(4), pages 941-972, September.
  3. Mari-Vidal, Sergio & Segui-Mas, Elies & Marin-Sanchez, Maria del Mar & Mateos-Ronco, Alicia, 2012. "Assessing the usefulness of accounting information as an instrument to predict business failure in Spanish cooperatives," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 128561, International Association of Agricultural Economists.
  4. 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.
  5. Cathcart, Lara & Dufour, Alfonso & Rossi, Ludovico & Varotto, Simone, 2020. "The differential impact of leverage on the default risk of small and large firms," Journal of Corporate Finance, Elsevier, vol. 60(C).
  6. 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.
  7. 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.
  8. 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.
  9. Pindado, Julio & Requejo, Ignacio & Rivera, Juan C., 2017. "Economic forecast and corporate leverage choices: The role of the institutional environment," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 121-144.
  10. Inder K. Khurana & Changjiang Wang, 2015. "Debt Maturity Structure and Accounting Conservatism," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(1-2), pages 167-203, January.
  11. Michaela Staňková, 2023. "Threshold Moving Approach with Logit Models for Bankruptcy Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1251-1272, March.
  12. Colvin, Christopher L. & de Jong, Abe & Fliers, Philip T., 2015. "Predicting the past: Understanding the causes of bank distress in the Netherlands in the 1920s," Explorations in Economic History, Elsevier, vol. 55(C), pages 97-121.
  13. Markus Fischer & Christa Hainz & Jörg Rocholl & Sascha Steffen, 2014. "Government guarantees and bank risk taking incentives," ESMT Research Working Papers ESMT-14-02, ESMT European School of Management and Technology.
  14. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
  15. Zeineb Affes & Rania Hentati-Kaffel, 2019. "Forecast bankruptcy using a blend of clustering and MARS model: case of US banks," Annals of Operations Research, Springer, vol. 281(1), pages 27-64, October.
  16. Hossein Tarighi & Zeynab Nourbakhsh Hosseiny & Mohammad Reza Abbaszadeh & Grzegorz Zimon & Darya Haghighat, 2022. "How Do Financial Distress Risk and Related Party Transactions Affect Financial Reporting Quality? Empirical Evidence from Iran," Risks, MDPI, vol. 10(3), pages 1-23, February.
  17. 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.
  18. Hamadi Matoussi & Rim Mouelhi & Sayah Salah, 1999. "La Prediction De Faillite Des Entreprises Tunisiennes Par La Regression Logistique," Post-Print halshs-00587769, HAL.
  19. 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.
  20. 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.
  21. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
  22. Lennox, Clive, 1999. "Identifying failing companies: a re-evaluation of the logit, probit and DA approaches," Journal of Economics and Business, Elsevier, vol. 51(4), pages 347-364, July.
  23. 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.
  24. Xiaoyan Cheng & David Smith & Paul Tanyi, 2018. "An analysis of proxy statement leadership structure justification disclosures," Review of Quantitative Finance and Accounting, Springer, vol. 51(4), pages 1071-1106, November.
  25. Veres Ferrer, Ernesto Jesús & Labatut Serer, Gregorio & Pozuelo Campillo, Jose, 2009. "Hacia una ordenación de las pequeñas empresas atendiendo a su posible situación de fracaso/Towards a Ranking of Smaller Companies According to Their Failure Risk," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 775(18á)-77, Diciembre.
  26. Nidhi Aggarwal & Manish K. Singh & Susan Thomas, 2022. "Informational efficiency of credit ratings," Working Papers 14, xKDR.
  27. 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.
  28. Sharad Asthana & Steven Balsam, 2007. "Determinants Of Outside Director Turnover," Working Papers 0023, College of Business, University of Texas at San Antonio.
  29. 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.
  30. Gulcan Yildirim Gungor & Tuba Pelin Sumer, 2020. "Alternative Approaches for Modelling Corporate Sector Credit Risk," CBT Research Notes in Economics 2017, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  31. Manuel D. N. T. Oliveira & Fernando A. F. Ferreira & Guillermo O. Pérez-Bustamante Ilander & Marjan S. Jalali, 2017. "Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 985-997, September.
  32. Ugur, Mehmet & Solomon, Edna & Zeynalov, Ayaz, 2022. "Leverage, competition and financial distress hazard: Implications for capital structure in the presence of agency costs," Economic Modelling, Elsevier, vol. 108(C).
  33. Becchetti, Leonardo & Cucinelli, Doriana & Ielasi, Federica & Rossolini, Monica, 2023. "Corporate social irresponsibility: The relationship between ESG misconduct and the cost of equity," International Review of Financial Analysis, Elsevier, vol. 89(C).
  34. Evangelos C. Charalambakis, 2015. "On the Prediction of Corporate Financial Distress in the Light of the Financial Crisis: Empirical Evidence from Greek Listed Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 407-428, November.
  35. Chee‐Yeow Lim & Hun‐Tong Tan, 2008. "Non‐audit Service Fees and Audit Quality: The Impact of Auditor Specialization," Journal of Accounting Research, Wiley Blackwell, vol. 46(1), pages 199-246, March.
  36. Jackson, Richard H.G. & Wood, Anthony, 2013. "The performance of insolvency prediction and credit risk models in the UK: A comparative study," The British Accounting Review, Elsevier, vol. 45(3), pages 183-202.
  37. Gila Burde, 2018. "Improved Methods for Predicting the Financial Vulnerability of Nonprofit Organizations," Administrative Sciences, MDPI, vol. 8(1), pages 1-8, February.
  38. Yang, Z. R. & Platt, Marjorie B. & Platt, Harlan D., 1999. "Probabilistic Neural Networks in Bankruptcy Prediction," Journal of Business Research, Elsevier, vol. 44(2), pages 67-74, February.
  39. Scott Whisenant & Srinivasan Sankaraguruswamy & K. Raghunandan, 2003. "Evidence on the Joint Determination of Audit and Non‐Audit Fees," Journal of Accounting Research, Wiley Blackwell, vol. 41(4), pages 721-744, September.
  40. Maria Afreen, 2020. "Review Paper on Composite Leading Index Creation for Forecasting the Bangladeshi Financial Sector," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 23-32, October.
  41. CIOTINA Daniela & CIOTINA Ioan Marius, 2013. "Symptoms of Bankruptcy and Prediction Models of Bankruptcy Risk," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 114-121, May.
  42. Beneish, Messod D. & Marshall, Cassandra D. & Yang, Jun, 2017. "Explaining CEO retention in misreporting firms," Journal of Financial Economics, Elsevier, vol. 123(3), pages 512-535.
  43. Mei Feng & Chan Li, 2014. "Are Auditors Professionally Skeptical? Evidence from Auditors’ Going‐Concern Opinions and Management Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 52(5), pages 1061-1085, December.
  44. Arnold, Marc, 2014. "Managerial cash use, default, and corporate financial policies," Journal of Corporate Finance, Elsevier, vol. 27(C), pages 305-325.
  45. Stephen V. Brown & W. Robert Knechel, 2016. "Auditor–Client Compatibility and Audit Firm Selection," Journal of Accounting Research, Wiley Blackwell, vol. 54(3), pages 725-775, June.
  46. Wu, Y. & Gaunt, C. & Gray, S., 2010. "A comparison of alternative bankruptcy prediction models," Journal of Contemporary Accounting and Economics, Elsevier, vol. 6(1), pages 34-45.
  47. Ligon, James A. & Malm, James, 2018. "Litigation risk, financial distress, and the use of subsidiaries," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 255-272.
  48. Chan, Steven & Han, Gaofeng & Zhang, Wenlang, 2016. "How strong are the linkages between real estate and other sectors in China?," Research in International Business and Finance, Elsevier, vol. 36(C), pages 52-72.
  49. Bruynseels, Liesbeth & Willekens, Marleen, 2012. "The effect of strategic and operating turnaround initiatives on audit reporting for distressed companies," Accounting, Organizations and Society, Elsevier, vol. 37(4), pages 223-241.
  50. Borochin, Paul & Chang, Hao & Wu, Yangru, 2020. "The information content of the term structure of risk-neutral skewness," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 247-274.
  51. Avishek Bhandari & Joanna Golden & Kenton Walker & Joseph H. Zhang, 2022. "The relationship between stock repurchase completion rates, firm reputation and financial reporting quality: a commitment‐trust theory perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2687-2724, June.
  52. Lyandres, Evgeny & Zhdanov, Alexei, 2013. "Investment opportunities and bankruptcy prediction," Journal of Financial Markets, Elsevier, vol. 16(3), pages 439-476.
  53. Jere R. Francis & Jagan Krishnan, 1999. "Accounting Accruals and Auditor Reporting Conservatism," Contemporary Accounting Research, John Wiley & Sons, vol. 16(1), pages 135-165, March.
  54. Jarmila Horváthová & Martina Mokrišová, 2018. "Risk of Bankruptcy, Its Determinants and Models," Risks, MDPI, vol. 6(4), pages 1-22, October.
  55. Michael S. O'Doherty, 2012. "On the Conditional Risk and Performance of Financially Distressed Stocks," Management Science, INFORMS, vol. 58(8), pages 1502-1520, August.
  56. Barua, Abhijit & Lennox, Clive & Raghunandan, Aneesh, 2020. "Are audit fees discounted in initial year audit engagements?," Journal of Accounting and Economics, Elsevier, vol. 69(2).
  57. Ruey-Ching Hwang & Jhao-Siang Siao & Huimin Chung & C. Chu, 2011. "Assessing bankruptcy prediction models via information content of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 36(3), pages 263-273, December.
  58. K. Raghunandan, 1993. "Predictive Ability of Audit Qualifications for Loss Contingencies," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 612-634, March.
  59. 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.
  60. M. Simona Andreano & Roberto Benedetti & Andrea Mazzitelli & Federica Piersimoni, 2018. "Spatial autocorrelation and clusters in modelling corporate bankruptcy of manufacturing firms," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(4), pages 475-491, December.
  61. Zhan Shu, Susan, 2000. "Auditor resignations: clientele effects and legal liability," Journal of Accounting and Economics, Elsevier, vol. 29(2), pages 173-205, April.
  62. Michaela Staňková & David Hampel, 2018. "Bankruptcy Prediction of Engineering Companies in the EU Using Classification Methods," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(5), pages 1347-1356.
  63. William H. Beaver & Stefano Cascino & Maria Correia & Maureen F. McNichols, 2019. "Group Affiliation and Default Prediction," Management Science, INFORMS, vol. 65(8), pages 3559-3584, August.
  64. Keval Amin & John Daniel Eshleman & Peng Guo, 2021. "Investor Sentiment, Misstatements, and Auditor Behavior," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 483-517, March.
  65. Khoja, Layla & Chipulu, Maxwell & Jayasekera, Ranadeva, 2019. "Analysis of financial distress cross countries: Using macroeconomic, industrial indicators and accounting data," International Review of Financial Analysis, Elsevier, vol. 66(C).
  66. Ptak-Chmielewska Aneta, 2021. "Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods," Statistics in Transition New Series, Polish Statistical Association, vol. 22(1), pages 179-195, March.
  67. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2010. "Multicriteria classification models for the identification of targets and acquirers in the Asian banking sector," European Journal of Operational Research, Elsevier, vol. 204(2), pages 328-335, July.
  68. Asis, Gonzalo & Chari, Anusha & Haas, Adam, 2021. "In search of distress risk in emerging markets," Journal of International Economics, Elsevier, vol. 131(C).
  69. Jeffrey Pittman & Yuping Zhao, 2020. "Debt Covenant Restriction, Financial Misreporting, and Auditor Monitoring," Contemporary Accounting Research, John Wiley & Sons, vol. 37(4), pages 2145-2185, December.
  70. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
  71. Ching-Lung Chen & Hung-Shu Fan & Ya-Ming Yang, 2014. "The effects of corporate governance and accounting rule changes on derivatives usage," Review of Derivatives Research, Springer, vol. 17(3), pages 323-353, October.
  72. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
  73. Inekwe, John Nkwoma & Jin, Yi & Valenzuela, Ma. Rebecca, 2018. "The effects of financial distress: Evidence from US GDP growth," Economic Modelling, Elsevier, vol. 72(C), pages 8-21.
  74. Robert C. Cressy, 1992. "U.K. Small Firm Bankruptcy Prediction: A Logit Analysis of Financial Trend-, Industry-, and Macro-Effects," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 1(3), pages 233-253, Spring.
  75. Han Chulwoo & Kang Hyeongmook & Kim Gamin & Yi Joseph, 2012. "Logit Regression Based Bankruptcy Prediction of Korean Firms," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 7(1), pages 1-28, December.
  76. Dedman, Elisabeth & Lin, Stephen W. -J., 2002. "Shareholder wealth effects of CEO departures: evidence from the UK," Journal of Corporate Finance, Elsevier, vol. 8(1), pages 81-104, January.
  77. Sylvia Jenčová & Róbert Štefko & Petra Vašaničová, 2020. "Scoring Model of the Financial Health of the Electrical Engineering Industry’s Non-Financial Corporations," Energies, MDPI, vol. 13(17), pages 1-17, August.
  78. Andrikopoulos, Panagiotis & Khorasgani, Amir, 2018. "Predicting unlisted SMEs' default: Incorporating market information on accounting-based models for improved accuracy," The British Accounting Review, Elsevier, vol. 50(5), pages 559-573.
  79. Jamal Ouenniche & Kaoru Tone, 2017. "An out-of-sample evaluation framework for DEA with application in bankruptcy prediction," Annals of Operations Research, Springer, vol. 254(1), pages 235-250, July.
  80. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
  81. Thomas A. Lee & Robert W. Ingram & Thomas P. Howard, 1999. "The Difference between Earnings and Operating Cash Flow as an Indicator of Financial Reporting Fraud," Contemporary Accounting Research, John Wiley & Sons, vol. 16(4), pages 749-786, December.
  82. Manzaneque, Montserrat & Priego, Alba María & Merino, Elena, 2016. "Corporate governance effect on financial distress likelihood: Evidence from Spain," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 111-121.
  83. Bauer, Julian & Agarwal, Vineet, 2014. "Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 432-442.
  84. E. A. Fedorova & S. E. Dovzhenko & F. Yu. Fedorov, 2016. "Bankruptcy-prediction models for Russian enterprises: Specific sector-related characteristics," Studies on Russian Economic Development, Springer, vol. 27(3), pages 254-261, May.
  85. Maria Tsipouridou & Charalambos Spathis, 2014. "Audit opinion and earnings management: Evidence from Greece," Accounting Forum, Taylor & Francis Journals, vol. 38(1), pages 38-54, March.
  86. Abernathy, John L. & Herrmann, Don & Kang, Tony & Krishnan, Gopal V., 2013. "Audit committee financial expertise and properties of analyst earnings forecasts," Advances in accounting, Elsevier, vol. 29(1), pages 1-11.
  87. 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.
  88. Jonathan Stanley & F. Todd De Zoort & Gary Taylor, 2009. "The association between insider trading surrounding going concern audit opinions and future bankruptcy," Managerial Auditing Journal, Emerald Group Publishing, vol. 24(3), pages 290-312, March.
  89. Oz, Ibrahim Onur & Simga-Mugan, Can, 2018. "Bankruptcy prediction models' generalizability: Evidence from emerging market economies," Advances in accounting, Elsevier, vol. 41(C), pages 114-125.
  90. 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.
  91. Masoud Azizkhani & Sarowar Hossain & Mai Nguyen, 2023. "Effects of audit committee chair characteristics on auditor choice, audit fee and audit quality," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 3675-3707, September.
  92. 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.
  93. Dzik-Walczak Aneta & Odziemczyk Maciej, 2021. "Modelling cross-sectional tabular data using convolutional neural networks: Prediction of corporate bankruptcy in Poland," Central European Economic Journal, Sciendo, vol. 8(55), pages 352-377, January.
  94. 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.
  95. 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.
  96. Daisuke Tsuruta, 2020. "Can banks monitor small business borrowers effectively using hard information?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 4291-4330, December.
  97. Acharya, Viral V. & Bharath, Sreedhar T. & Srinivasan, Anand, 2007. "Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries," Journal of Financial Economics, Elsevier, vol. 85(3), pages 787-821, September.
  98. 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).
  99. 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.
  100. Viral Acharya & Sergei A. Davydenko & Ilya A. Strebulaev, 2012. "Cash Holdings and Credit Risk," The Review of Financial Studies, Society for Financial Studies, vol. 25(12), pages 3572-3609.
  101. 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.
  102. Minjung Kim & Jungsoo Park, 2017. "Do Bank Loans To Financially Distressed Firms Lead To Innovation?," The Japanese Economic Review, Japanese Economic Association, vol. 68(2), pages 244-256, June.
  103. Skogsvik, Kenth, 2005. "On the Choice-Based Sample Bias in Probabilistic Business Failure Prediction," SSE/EFI Working Paper Series in Business Administration 2005:13, Stockholm School of Economics, revised 09 Jan 2006.
  104. du Jardin, Philippe, 2008. "Bankruptcy prediction and neural networks: The contribution of variable selection methods," MPRA Paper 44384, University Library of Munich, Germany.
  105. Pei-Gi Shu & Tsung-Kang Chen & Wen-Jye Hung, 2015. "Audit duration quality and client credit risk," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 22(2), pages 137-162, June.
  106. Lensberg, Terje & Eilifsen, Aasmund & McKee, Thomas E., 2006. "Bankruptcy theory development and classification via genetic programming," European Journal of Operational Research, Elsevier, vol. 169(2), pages 677-697, March.
  107. Minhas Akbar & Ahsan Akbar & Muhammad Azeem Qureshi & Petra Poulova, 2021. "Sentiments–Risk Relationship across the Corporate Life Cycle: Evidence from an Emerging Market," Economies, MDPI, vol. 9(3), pages 1-17, August.
  108. Kawsar Jahan & Mohammod Akbar Kabir & Farjana Nur Saima & Md. Nasim Adnan, 2019. "Financial Crises in State Owned and Private Commercial Banks in Bangladesh: A Comparative Analysis," Business and Economic Research, Macrothink Institute, vol. 9(2), pages 146-159, June.
  109. Jounghyeon Kim, 2020. "Determinants of Corporate Bankruptcy: Evidence from Chaebol and Non‐Chaebol Firms in Korea," Asian Economic Journal, East Asian Economic Association, vol. 34(3), pages 275-300, September.
  110. Mário Santiago Céu & Raquel Medeiros Gaspar, 2022. "Vegetative cycle and bankruptcy predictors of agricultural firms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(12), pages 445-454.
  111. Mohamed M. El-Dyasty & Ahmed A. Elamer, 2021. "The effect of ownership structure and board characteristics on auditor choice: evidence from Egypt," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 18(4), pages 362-377, December.
  112. Li-Chiu Chi & Tseng-Chung Tang, 2006. "Bankruptcy Prediction: Application of Logit Analysis in Export Credit Risks," Australian Journal of Management, Australian School of Business, vol. 31(1), pages 17-27, June.
  113. Daniele De Leonardis & Roberto Rocci, 2008. "Assessing the default risk by means of a discrete‐time survival analysis approach," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(4), pages 291-306, July.
  114. Sunghwa Park & Hyunsok Kim & Janghan Kwon & Taeil Kim, 2021. "Empirics of Korean Shipping Companies’ Default Predictions," Risks, MDPI, vol. 9(9), pages 1-17, September.
  115. Jones, Stewart & Hensher, David A., 2007. "Modelling corporate failure: A multinomial nested logit analysis for unordered outcomes," The British Accounting Review, Elsevier, vol. 39(1), pages 89-107.
  116. Leonardo Di Marco & Luciano Nieddu, 2014. "Trigger factors that influence bankruptcy: a comparative and exploratory study," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 68(3-4), pages 191-198, July-Dece.
  117. repec:ntu:ntugeo:vol1-iss2s-13-131 is not listed on IDEAS
  118. Duane B. Kennedy, 1992. "Classification techniques in accounting research: Empirical evidence of comparative performance," Contemporary Accounting Research, John Wiley & Sons, vol. 8(2), pages 419-442, March.
  119. Thomas J. Chemmanur & Karen Simonyan, 2010. "What Drives the Issuance of Putable Convertibles: Risk‐Shifting, Asymmetric Information, or Taxes?," Financial Management, Financial Management Association International, vol. 39(3), pages 1027-1068, September.
  120. David Ashton & Paul Dunmore & Mark Tippett, 2004. "Double Entry Bookkeeping and the Distributional Properties of a Firm's Financial Ratios," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 583-606, June.
  121. Alam, Nurul & Gao, Junbin & Jones, Stewart, 2021. "Corporate failure prediction: An evaluation of deep learning vs discrete hazard models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
  122. Lars Schweizer & Andreas Nienhaus, 2017. "Corporate distress and turnaround: integrating the literature and directing future research," Business Research, Springer;German Academic Association for Business Research, vol. 10(1), pages 3-47, June.
  123. Sigrist, Fabio & Leuenberger, Nicola, 2023. "Machine learning for corporate default risk: Multi-period prediction, frailty correlation, loan portfolios, and tail probabilities," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1390-1406.
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