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ZETATM analysis A new model to identify bankruptcy risk of corporations

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Cited by:

  1. 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.
  2. Luis Araujo & Qingqing Cao & Raoul Minetti & Pierluigi Murro, 2019. "Credit Crunches, Asset Prices and Technological Change," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 153-179, April.
  3. 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).
  4. 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.
  5. Miguel García-Posada & Juan S. Mora-Sanguinetti, 2012. "Why do spanish firms rarely use the bankruptcy system? The role of the mortgage institution," Working Papers 1234, Banco de España.
  6. Dung T. T. Tran & Hieu V. Phan, 2022. "Government economic policy uncertainty and corporate debt contracting," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 169-199, March.
  7. Li-Ying Lin & Chang-Ching Tsai & Jen-Yao Lee, 2022. "A Study on the Trends of the Global Cruise Tourism Industry, Sustainable Development, and the Impacts of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(11), pages 1-28, June.
  8. Adli Abouzeedan, 2010. "The Factorial Mirror (FAM) Concept of Small and Medium-sized Enterprises (SMEs) and the Firm Impact Sphere (FIP)," Global Business Review, International Management Institute, vol. 11(1), pages 35-64, January.
  9. Nidhi Aggarwal & Manish K. Singh & Susan Thomas, 2022. "Informational efficiency of credit ratings," Working Papers 14, xKDR.
  10. repec:ath:journl:tome:34:v:2:y:2014:i:34:p:99-109 is not listed on IDEAS
  11. 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.
  12. 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.
  13. P. K. Viswanathan & Sandeep Srivathsan & Wayne L. Winston, 2022. "Multiclass Discriminant Analysis using Ensemble Technique: Case Illustration from the Banking Industry," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 92-115, March.
  14. Mogilat , Anastasia & Ipatova, Irina, 2016. "Technical efficiency as a factor of Russian industrial companies’ risks of financial distress," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 05-29.
  15. Miguel García-Posada & Juan Mora-Sanguinetti, 2014. "Are there alternatives to bankruptcy? A study of small business distress in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 287-332, August.
  16. Iulian Viorel Brasoveanu & Florin Dobre & Laura Brad, 2014. "Increasing Financial Audit Quality Using A New Model To Estimate Financial Performance," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 88-107, October.
  17. Isidoro Guzmán & Stephen Morrow, 2007. "Measuring efficiency and productivity in professional football teams: evidence from the English Premier League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 309-328, November.
  18. 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.
  19. 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.
  20. Musaed S. AlAli, 2019. "Examining the Effect of Altman¡¯s Zeta Model Score on the Share Price of Healthcare Companies Listed at Kuwait Stock Exchange," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(4), pages 25-29, April.
  21. Lubom??r L??zal, 2002. "Determinants of Financial Distress: What Drives Bankruptcy in a Transition Economy? The Czech Republic Case," William Davidson Institute Working Papers Series 451, William Davidson Institute at the University of Michigan.
  22. 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.
  23. 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).
  24. Hui Hu & Milind Sathye, 2015. "Predicting Financial Distress in the Hong Kong Growth Enterprises Market from the Perspective of Financial Sustainability," Sustainability, MDPI, vol. 7(2), pages 1-15, January.
  25. 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.
  26. 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.
  27. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
  28. 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).
  29. Ivan DE NONI & Antonio LORENZON & Luigi ORSI, 2007. "Measuring and managing credit risk in SMEs: a quantitative and qualitative rating model," Departmental Working Papers 2007-36, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  30. B. Luppi & M. Marzo & E. Scorcu, 2007. "A credit risk model for Italian SMEs," Working Papers 600, Dipartimento Scienze Economiche, Universita' di Bologna.
  31. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
  32. Laffranchini, Giacomo & Hadjimarcou, John & Kim, Si Hyun, 2022. "The first turnaround response of family firms in a crisis situation," Journal of Family Business Strategy, Elsevier, vol. 13(1).
  33. Altman, Edward I. & Saunders, Anthony, 1997. "Credit risk measurement: Developments over the last 20 years," Journal of Banking & Finance, Elsevier, vol. 21(11-12), pages 1721-1742, December.
  34. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
  35. Cecilia Wagner Ricci, 2003. "Bankruptcy Prediction: The Case of the CLECS," American Journal of Business, Emerald Group Publishing, vol. 18(1), pages 71-82.
  36. Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2006. "Internal ratings systems, implied credit risk and the consistency of banks' risk classification policies," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1899-1926, July.
  37. Jože P. Damijan, 2014. "Corporate financial soundness and its impact on firm performance: Implications for corporate debt restructuring in Slovenia," Working Papers 168, European Bank for Reconstruction and Development, Office of the Chief Economist.
  38. Sudhir Nanda & Parag Pendharkar, 2001. "Linear models for minimizing misclassification costs in bankruptcy prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(3), pages 155-168, September.
  39. Ilyes Abid & Rim Ayadi & Khaled Guesmi & Farid Mkaouar, 2022. "A new approach to deal with variable selection in neural networks: an application to bankruptcy prediction," Annals of Operations Research, Springer, vol. 313(2), pages 605-623, June.
  40. Situm Mario, 2014. "Inability of Gearing-Ratio as Predictor for Early Warning Systems," Business Systems Research, Sciendo, vol. 5(2), pages 23-45, September.
  41. 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.
  42. Evangelos C. Charalambakis, 2014. "On corporate financial distress prediction: what can we learn from private firms in a small open economy?," Working Papers 188, Bank of Greece.
  43. Harlan L. Etheridge & Kathy H. Y. Hsu, 2015. "Minimizing the Costs of Using Models to Assess the Financial Health of Banks," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(11), pages 9-18, November.
  44. Philosophov, Leonid V. & Philosophov, Vladimir L., 2002. "Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 375-406.
  45. Deni Memic, 2015. "Assessing Credit Default using Logistic Regression and Multiple Discriminant Analysis: Empirical Evidence from Bosnia and Herzegovina," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 13(1), pages 128-153.
  46. David A. Hensher & Stewart Jones & William H. Greene, 2007. "An Error Component Logit Analysis of Corporate Bankruptcy and Insolvency Risk in Australia," The Economic Record, The Economic Society of Australia, vol. 83(260), pages 86-103, March.
  47. Frieda Rikkers & Andre E. Thibeault, 2009. "A Structural form Default Prediction Model for SMEs, Evidence from the Dutch Market," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 229-264, September.
  48. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
  49. Róbert Štefko & Jarmila Horváthová & Martina Mokrišová, 2020. "Bankruptcy Prediction with the Use of Data Envelopment Analysis: An Empirical Study of Slovak Businesses," JRFM, MDPI, vol. 13(9), pages 1-15, September.
  50. Zhichao Luo & Pingyu Hsu & Ni Xu, 2020. "SME Default Prediction Framework with the Effective Use of External Public Credit Data," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
  51. Dariusz Sala & Kostiantyn Pavlov & Olena Pavlova & Anton Demchuk & Liubomur Matiichuk & Dariusz Cichoń, 2023. "Determining of the Bankrupt Contingency as the Level Estimation Method of Western Ukraine Gas Distribution Enterprises’ Competence Capacity," Energies, MDPI, vol. 16(4), pages 1-13, February.
  52. Leila Bateni & Farshid Asghari, 2020. "Bankruptcy Prediction Using Logit and Genetic Algorithm Models: A Comparative Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 335-348, January.
  53. Hunter, John & Isachenkova, Natalia, 2006. "Aggregate economy risk and company failure: An examination of UK quoted firms in the early 1990s," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 911-919, November.
  54. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
  55. Edward I. Altman & Marco Balzano & Alessandro Giannozzi & Stjepan Srhoj, 2023. "Revisiting SME default predictors: The Omega Score," Journal of Small Business Management, Taylor & Francis Journals, vol. 61(6), pages 2383-2417, November.
  56. Rong Guan & Huiwen Wang & Haitao Zheng, 2020. "Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model," Computational Statistics, Springer, vol. 35(2), pages 491-514, June.
  57. Ha-Thu Nguyen, 2015. "How is credit scoring used to predict default in China?," EconomiX Working Papers 2015-1, University of Paris Nanterre, EconomiX.
  58. Bertrand, Jean-Louis & Brusset, Xavier & Chabot, Miia, 2021. "Protecting franchise chains against weather risk: A design science approach," Journal of Business Research, Elsevier, vol. 125(C), pages 187-200.
  59. WILLIAM HOPWOOD & JAMES McKEOWN & JANE MUTCHLER, 1988. "The sensitivity of financial distress prediction models to departures from normality," Contemporary Accounting Research, John Wiley & Sons, vol. 5(1), pages 284-298, September.
  60. Zhang, Tianwei & Ellinger, Paul N., 2006. "Credit Risk and Financial Performance Assessment of Illinois Farmers: A Comparison of Approaches with Farm Accounting Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21384, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  61. Mehreen Mehreen & Maran Marimuthu & Samsul Ariffin Abdul Karim & Amin Jan, 2020. "Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
  62. Klaus P. Fischer & Houcem Smaoui, 1997. "From Financial Liberalization to Banking Failure: Starting on the Wrong Foot?," Finance 9706005, University Library of Munich, Germany.
  63. Hoang Hiep Nguyen & Jean-Laurent Viviani & Sami Ben Jabeur, 2023. "Bankruptcy prediction using machine learning and Shapley additive explanations," Post-Print hal-04223161, HAL.
  64. Dean Fantazzini & Silvia Figini, 2009. "Random Survival Forests Models for SME Credit Risk Measurement," Methodology and Computing in Applied Probability, Springer, vol. 11(1), pages 29-45, March.
  65. Milagros Vivel-Búa & Rubén Lado-Sestayo & Luis Otero-González, 2016. "Impact of location on the probability of default in the Spanish lodging industry," Tourism Economics, , vol. 22(3), pages 593-607, June.
  66. 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.
  67. Mario Coccia, 2004. "Analysis of country risk and taxonomic arrangement," CERIS Working Paper 200414, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
  68. de Jager, Fritz & Swanepoel, Vernon, 1994. "Factors Associated With Farm Financial Failure In The Northern Springbok Flats," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 33(4), December.
  69. Malhotra, Manoj K. & Sharma, Subhash & Nair, Satish S., 1999. "Decision making using multiple models," European Journal of Operational Research, Elsevier, vol. 114(1), pages 1-14, April.
  70. Eka Bertuah & Erlane K. Ghani*, 2018. "Bulls and Bears and Bankruptcy- An Early Warning of Distress," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 962-969:5.
  71. Apostolos G. Christopoulos & Ioannis G. Dokas & Iraklis Kollias & John Leventides, 2019. "An implementation of Soft Set Theory in the Variables Selection Process for Corporate Failure Prediction Models. Evidence from NASDAQ Listed Firms," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 1-20.
  72. Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.
  73. Paul P. M. Pompe & Jan Bilderbeek, 2005. "Bankruptcy prediction: the influence of the year prior to failure selected for model building and the effects in a period of economic decline," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(2), pages 95-112, June.
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  78. Gregor Dorfleitner & Johannes Grebler, 2020. "The social and environmental drivers of corporate credit ratings: international evidence," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1343-1415, November.
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  83. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
  84. Sun, Lili & Shenoy, Prakash P., 2007. "Using Bayesian networks for bankruptcy prediction: Some methodological issues," European Journal of Operational Research, Elsevier, vol. 180(2), pages 738-753, July.
  85. Pasquale De Luca, 2017. "The Company Fundamental Analysis and the Default Risk Ratio," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(10), pages 1-79, September.
  86. Seth Amoako & Elvis Boateng, 2022. "Considering factors that leads to sustainability of Small and Medium Enterprises in Ghana using PESTEL and theories of entrepreneurship as a measuring tool," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 594-653, May.
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  91. 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.
  92. 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.
  93. Jayasekera, Ranadeva, 2018. "Prediction of company failure: Past, present and promising directions for the future," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 196-208.
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  95. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2019. "Limitation of Financial Health Prediction in Companies from Post-Communist Countries," JRFM, MDPI, vol. 12(1), pages 1-14, January.
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