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Citations for "ZETATM analysis A new model to identify bankruptcy risk of corporations"

by Altman, Edward I. & Haldeman, Robert G. & Narayanan, P.

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  1. Duffee, Gregory R., 1996. "On measuring credit risks of derivative instruments," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 805-833, June.
  2. Josep M. Argilés, 1998. "Accounting information and the prediction of farm viability," Economics Working Papers 277, Department of Economics and Business, Universitat Pompeu Fabra.
  3. Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
  4. Uri Benzion & Eyal Lahav & Koresh Galil, 2015. "Debt composition and lax screening in the Israel corporate bond market," Working Papers 1504, Ben-Gurion University of the Negev, Department of Economics.
  5. MacKie-Mason, Jeffrey K, 1990. " Do Taxes Affect Corporate Financing Decisions?," Journal of Finance, American Finance Association, vol. 45(5), pages 1471-1493, December.
  6. 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).
  7. 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.
  8. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, University of Economics, Prague, vol. 2011(2), pages 157-176.
  9. Alina Mihaela Dima & Simona Vasilache, 2016. "Credit Risk modeling for Companies Default Prediction using Neural Networks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 127-143, September.
  10. 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.
  11. Camelia DELCEA & Maria DASCALU, 2011. "A Method For Identifying The Possible Causes Of Failure In The Case Of Service Companies," Journal of Doctoral Research in Economics, The Bucharest University of Economic Studies, vol. 3(3), pages 48-61, September.
  12. Saoussen Boujelben & Fedhila Hassouna, 2007. "La pertinence des cash-flows d'exploitation et de l'information financière traditionnelle dans la prévision de la détresse financière des entreprises tunisiennes," Post-Print halshs-00544881, HAL.
  13. Scelles, Nicolas & Szymanski, Stefan & Dermit-Richard, Nadine, 2016. "Insolvency in French Soccer," MPRA Paper 71219, University Library of Munich, Germany.
  14. 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.
  15. du Jardin, Philippe, 2010. "Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy," MPRA Paper 44375, University Library of Munich, Germany.
  16. Iqbal, Zahid & Shetty, Shekar, 2002. "Insider trading and stock market perception of bankruptcy," Journal of Economics and Business, Elsevier, vol. 54(5), pages 525-535.
  17. 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.
  18. repec:ath:journl:tome:34:v:2:y:2014:i:34:p:99-109 is not listed on IDEAS
  19. Ghassan Hossari, 2012. "Optimising errors in signaling corporate collapse using MCCCRA," International Journal of Accounting and Information Management, Emerald Group Publishing, vol. 20(3), pages 300-316, July.
  20. 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.
  21. Peresetsky, Anatoly, 2013. "Modeling reasons for Russian bank license withdrawal: Unaccounted factors," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 30(2), pages 49-64.
  22. 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.
  23. Edward I. Altman, 2013. "Predicting financial distress of companies: revisiting the Z-Score and ZETA® models," Chapters,in: Handbook of Research Methods and Applications in Empirical Finance, chapter 17, pages 428-456 Edward Elgar Publishing.
  24. Quader, Syed Manzur, 2017. "Differential effect of liquidity constraints on firm growth," Review of Financial Economics, Elsevier, vol. 32(C), pages 20-29.
  25. Los, Cornelis A., 1999. "Galton's Error and the under-representation of systematic risk," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1793-1829, December.
  26. Mogilat , Anastasia & Ipatova, Irina, 2016. "Technical efficiency as a factor of Russian industrial companies’ risks of financial distress," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 42, pages 05-29.
  27. Ewert, Ralf & Szczesny, Andrea, 2001. "Countdown for the New Basle Capital Accord: Are German banks ready for the internal ratings-based approach?," CFS Working Paper Series 2001/05, Center for Financial Studies (CFS).
  28. Richard J. Arend, 2008. "Differences in RBV strategic factors and the need to consider opposing factors in turnaround outcomes," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 337-355.
  29. Amin Jan & Maran Marimuthu, 2016. "Bankruptcy Profile of Foreign versus Domestic Islamic Banks of Malaysia: A Post Crisis Period Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 332-346.
  30. Greta Falavigna, 2011. "An artificial neural network approach for assigning rating judgements to Italian Small Firms," CERIS Working Paper 201104, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
  31. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
  32. Lili Sun, 2007. "A re-evaluation of auditors’ opinions versus statistical models in bankruptcy prediction," Review of Quantitative Finance and Accounting, Springer, vol. 28(1), pages 55-78, January.
  33. 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.
  34. 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.
  35. Zaghdoudi Khemais & Djebali Nesrine & Mezni Mohamed, 2016. "Credit Scoring and Default Risk Prediction: A Comparative Study between Discriminant Analysis & Logistic Regression," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(4), pages 39-53, April.
  36. Alessandro Zeli, 2014. "The financial distress indicators trend in Italy: an analysis of medium-size enterprises," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 199-221, December.
  37. 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.
  38. Maurice Peat, 2007. "Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 303-324.
  39. Raffaella Calabrese & Silvia Angela Osmetti, 2011. "Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults," Working Papers 201120, Geary Institute, University College Dublin.
  40. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
  41. 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.
  42. repec:eee:spacre:v:18:y:2015:i:1:p:99-113 is not listed on IDEAS
  43. Pompe, Paul P.M. & Bilderbeek, Jan, 2005. "The prediction of bankruptcy of small- and medium-sized industrial firms," Journal of Business Venturing, Elsevier, vol. 20(6), pages 847-868, November.
  44. M. Naresh Kumar & V. Sree Hari Rao, 2015. "A New Methodology for Estimating Internal Credit Risk and Bankruptcy Prediction under Basel II Regime," Papers 1502.00882, arXiv.org.
  45. Tensie Steijvers & Wim Voordeckers & Koen Vanhoof, 2010. "Collateral, relationship lending and family firms," Small Business Economics, Springer, vol. 34(3), pages 243-259, April.
  46. Ha-Thu Nguyen, 2014. "Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution," EconomiX Working Papers 2014-26, University of Paris West - Nanterre la Defense, EconomiX.
  47. Kim, Hong Sik & Sohn, So Young, 2010. "Support vector machines for default prediction of SMEs based on technology credit," European Journal of Operational Research, Elsevier, vol. 201(3), pages 838-846, March.
  48. 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.
  49. Hui Hu & Milind Sathye, 2015. "Predicting Financial Distress in the Hong Kong Growth Enterprises Market from the Perspective of Financial Sustainability," Sustainability, MDPI, Open Access Journal, vol. 7(2), pages 1-15, January.
  50. Manzoni, Katiuscia, 2004. "Modeling Eurobond credit ratings and forecasting downgrade probability," International Review of Financial Analysis, Elsevier, vol. 13(3), pages 277-300.
  51. 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.
  52. 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.
  53. 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.
  54. Hu, Yu-Chiang & Ansell, Jake, 2007. "Measuring retail company performance using credit scoring techniques," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1595-1606, December.
  55. Yusuf Ali Al-Hroot, 2016. "A Comparison of Jordanian Bankruptcy Models: Multilayer Perceptron Neural Network and Discriminant Analysis," International Business Research, Canadian Center of Science and Education, vol. 9(12), pages 121-130, December.
  56. Pal, John & Medway, Dominic & Byrom, John, 2011. "Deconstructing the notion of blame in corporate failure," Journal of Business Research, Elsevier, vol. 64(10), pages 1043-1051, October.
  57. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
  58. Foreman, R. Dean, 2003. "A logistic analysis of bankruptcy within the US local telecommunications industry," Journal of Economics and Business, Elsevier, vol. 55(2), pages 135-166.
  59. Mramor, Dusan & Valentincic, Aljosa, 2003. "Forecasting the liquidity of very small private companies," Journal of Business Venturing, Elsevier, vol. 18(6), pages 745-771, November.
  60. Denis Fougère & Cécile Golfier & Guillaume Horny & Elisabeth Kremp, 2013. "Quel a été l'impact de la crise de 2008 sur la défaillance des entreprises ?," Économie et Statistique, Programme National Persée, vol. 462(1), pages 69-97.
  61. Laitinen, Erkki K. & Laitinen, Teija, 2000. "Bankruptcy prediction: Application of the Taylor's expansion in logistic regression," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 327-349.
  62. Raffaella Calabrese, 2011. "Cost-sensitive classification for rare events: an application to the credit rating model validation for SMEs," Working Papers 201134, Geary Institute, University College Dublin.
  63. Gianpaolo Iazzolino & Rossella Gabriele, 2016. "Energy Efficiency and Sustainable Development: An Analysis of Financial Reliability in Energy Service Companies Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 222-233.
  64. Koresh Galil, 2005. "Ratings as Predictors of Default in the Long Term:an Empirical Investigation," Working Papers 0505, Ben-Gurion University of the Negev, Department of Economics.
  65. B. Luppi & M. Marzo & E. Scorcu, 2007. "A credit risk model for Italian SMEs," Working Papers 600, Dipartimento Scienze Economiche, Universita' di Bologna.
  66. Antonio Angelo Romano & Giuseppe Scandurra & Alfonso Carfora, 2016. "Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 144-151.
  67. 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.
  68. Malcolm Smith, 2011. "The predictive ability of “conservatism” and “governance” variables in corporate financial disclosures," Asian Review of Accounting, Emerald Group Publishing, vol. 19(2), pages 171-185, July.
  69. 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.
  70. Acharya, Viral V & Davydenko, Sergei A. & Strebulaev, Ilya, 2009. "Cash Holdings and Credit Risk," CEPR Discussion Papers 7125, C.E.P.R. Discussion Papers.
  71. Ali DERAN & Omer ISKENDEROGLU & Incilay ERDURU, 2014. "Regional Differences and Financial Ratios: A Comparative Approach on Companies of ISE City Indexes," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 946-955.
  72. 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.
  73. Raffaella Calabrese, 2012. "Improving Classifier Performance Assessment of Credit Scoring Models," Working Papers 201204, Geary Institute, University College Dublin.
  74. Evangelos C. Charalambakis & Ian Garrett, 2016. "On the prediction of financial distress in developed and emerging markets: Does the choice of accounting and market information matter? A comparison of UK and Indian Firms," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 1-28, July.
  75. Jones, Stewart & Johnstone, David & Wilson, Roy, 2015. "An empirical evaluation of the performance of binary classifiers in the prediction of credit ratings changes," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 72-85.
  76. Goriunov Dmytro & Venzhyk Katerina, 2013. "Loan Default Prediction in Ukrainian Retail Banking," EERC Working Paper Series 13/07e, EERC Research Network, Russia and CIS.
  77. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
  78. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
  79. Cecilia Wagner Ricci, 2003. "Bankruptcy Prediction: The Case of the CLECS," American Journal of Business, Emerald Group Publishing, vol. 18(1), pages 71-82.
  80. 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.
  81. Afsaneh Assadian & Jon Ford, 1997. "Determinants of business failure: The role of firm size," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 21(1), pages 15-23, March.
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  83. Fougère, D. & Golfier, C. & Horny, G. & Kremp, E., 2013. "What has been the impact of the 2008 crisis on firms’ default? (in French)," Working papers 463, Banque de France.
  84. Situm Mario, 2014. "Inability of Gearing-Ratio as Predictor for Early Warning Systems," Business Systems Research, De Gruyter Open, vol. 5(2), pages 23-45, September.
  85. Sohn, So Young & Kim, Hong Sik, 2007. "Random effects logistic regression model for default prediction of technology credit guarantee fund," European Journal of Operational Research, Elsevier, vol. 183(1), pages 472-478, November.
  86. Rozsa Andrea, 2014. "Financial Performance Analysis And Bankruptcy Prediction In Hungarian Dairy Sector," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 938-947, July.
  87. Yusuf Ali Al-Hroot, 2015. "The Influence Of Sample Size And Selection Of Financial Ratios In Bankruptcy Model Accuracy," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 13(1), pages 7-19, May.
  88. 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.
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  90. 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.
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  130. 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.
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