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Financial Ratios And The Probabilistic Prediction Of Bankruptcy

Citations

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Cited by:

  1. Clas Bergström & Theodore Eisenberg & Stefan Sundgren & Martin T. Wells, 2005. "The Fate of Firms: Explaining Mergers and Bankruptcies," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 2(1), pages 49-85, March.
  2. 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.
  3. 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.
  4. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "Methodological comparison between DEA (data envelopment analysis) and DEA-DA (discriminant analysis) from the perspective of bankruptcy assessment," European Journal of Operational Research, Elsevier, vol. 199(2), pages 561-575, December.
  5. 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.
  6. Yingli Wang & Qingpeng Zhang & Xiaoguang Yang, 2018. "Evolution of the Chinese Guarantee Network under Financial Crisis and Stimulus Program," Papers 1804.05667, arXiv.org, revised Jun 2020.
  7. 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).
  8. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
  9. Josep M. Argilés, 1998. "Accounting information and the prediction of farm viability," Economics Working Papers 277, Department of Economics and Business, Universitat Pompeu Fabra.
  10. 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.
  11. 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.
  12. Teguh Budiman, 2017. "An Evaluation of Financial Stress for Islamic Banks in Indonesia Using a Bankometer Model," GATR Journals jfbr130, Global Academy of Training and Research (GATR) Enterprise.
  13. 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.
  14. 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.
  15. 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.
  16. Daniel Rosch & Harald Scheule, 2009. "The Empirical Relation between Credit Quality, Recovery, and Correlation," Working Papers 222009, Hong Kong Institute for Monetary Research.
  17. Degryse, Hans & Mariathasan, Mike & Tang, Hien T., 2023. "GSIB status and corporate lending," Journal of Corporate Finance, Elsevier, vol. 80(C).
  18. 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.
  19. 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.
  20. 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).
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. Catherine Refait, 2000. "Estimation du risque de défaut par une modélisation stochastique du bilan : Application à des firmes industrielles françaises," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03718527, HAL.
  27. 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.
  28. Beynon, Malcolm J. & Peel, Michael J., 2001. "Variable precision rough set theory and data discretisation: an application to corporate failure prediction," Omega, Elsevier, vol. 29(6), pages 561-576, December.
  29. CLEMENT Claudiu, 2022. "Balanced Bagging With Expectation Maximization Imputation In Bankruptcy Prediction - Application On Romanian Companies," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 74(1), pages 40-50, August.
  30. Barinov, Alexander, 2023. "Profitability anomaly and aggregate volatility risk," Journal of Financial Markets, Elsevier, vol. 64(C).
  31. 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.
  32. Knippen, Jennifer M. & Palar, Jennifer & Gentry, Richard J., 2018. "Breaking the mold: An examination of board discretion in female CEO appointments," Journal of Business Research, Elsevier, vol. 84(C), pages 11-23.
  33. 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.
  34. 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.
  35. Slowinski, R. & Zopounidis, C. & Dimitras, A. I., 1997. "Prediction of company acquisition in Greece by means of the rough set approach," European Journal of Operational Research, Elsevier, vol. 100(1), pages 1-15, July.
  36. 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.
  37. 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.
  38. 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.
  39. Stephen P. Ferris & Jan Hanousek & Reza Houston, 2022. "Contractor default: Predictions, politics, and penalties in the procurement process," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1001-1039, December.
  40. Carlos Serrano-Cinca & Yolanda Fuertes-Call鮠 & Bego uti鲲ez-Nieto & Beatriz Cuellar-Fernᮤez, 2014. "Path modelling to bankruptcy: causes and symptoms of the banking crisis," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3798-3811, November.
  41. Parag Pendharkar & Marvin Troutt, 2014. "Interactive classification using data envelopment analysis," Annals of Operations Research, Springer, vol. 214(1), pages 125-141, March.
  42. Hamadi Matoussi & Rim Mouelhi & Sayah Salah, 1999. "La Prediction De Faillite Des Entreprises Tunisiennes Par La Regression Logistique," Post-Print halshs-00587769, HAL.
  43. 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.
  44. Irving Fisher Committee, 2019. "The use of big data analytics and artificial intelligence in central banking," IFC Bulletins, Bank for International Settlements, number 50, July.
  45. 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.
  46. Nicoleta Bărbuță-Mișu & Mara Madaleno, 2020. "Assessment of Bankruptcy Risk of Large Companies: European Countries Evolution Analysis," JRFM, MDPI, vol. 13(3), pages 1-28, March.
  47. 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.
  48. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  49. 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.
  50. 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.
  51. 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.
  52. Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
  53. 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.
  54. Bahiraie , Alireza & Arshadi , Ali, 2012. "Bankruptcy Prediction: Dynamic Geometric Genetic Programming (DGGP) Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 6(4), pages 101-132, July.
  55. 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.
  56. Nidhi Aggarwal & Manish K. Singh & Susan Thomas, 2022. "Informational efficiency of credit ratings," Working Papers 14, xKDR.
  57. Kirchesch, Kai, 2004. "Financial Risks, Bankruptcy Probabilities, and the Investment Behaviour of Enterprises," HWWA Discussion Papers 299, Hamburg Institute of International Economics (HWWA).
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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, Wiley Blackwell, vol. 42(4), pages 755-793, September.
  70. Duan, Ran, 2023. "Patent trolls and capital structure decisions in high-tech firms," Journal of Banking & Finance, Elsevier, vol. 155(C).
  71. 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.
  72. 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.
  73. Sanghoon Lee & Keunho Choi & Donghee Yoo, 2023. "Building a core rule-based decision tree to explain the causes of insolvency in small and medium-sized enterprises more easily," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
  74. Ajaan Rahman Khan & Chinmoy Das Gupta & Md. Ali Ashraf, 2021. "Relationship Between Banking Performance and Financial Distress: A Study on Banks of Bangladesh," Issues in Economics and Business, Macrothink Institute, vol. 7(1), pages 15-25, June.
  75. 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.
  76. Jim Sánchez & Diego Restrepo & Andres Ramírez, 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.
  77. Dejan JOVANOVIĆ & Mirjana TODOROVIĆ & Milka GRBIĆ, 2017. "Financial Indicators As Predictors Of Illiquidity," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-149, March.
  78. 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.
  79. Gila Burde, 2018. "Improved Methods for Predicting the Financial Vulnerability of Nonprofit Organizations," Administrative Sciences, MDPI, vol. 8(1), pages 1-8, February.
  80. Lohmann, Christian & Möllenhoff, Steffen, 2023. "Dark premonitions: Pre-bankruptcy investor attention and behavior," Journal of Banking & Finance, Elsevier, vol. 151(C).
  81. 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.
  82. Liu, Bai & Ju, Tao & Bai, Min & Yu, Chia-Feng (Jeffrey), 2021. "Imitative innovation and financial distress risk: The moderating role of executive foreign experience," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 526-548.
  83. 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.
  84. repec:ath:journl:tome:34:v:2:y:2014:i:34:p:99-109 is not listed on IDEAS
  85. 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.
  86. 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.
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  88. Nijskens, Rob & Mokas, Dimitris, 2019. "Credit Risk in Commercial Real Estate Bank Loans : The Role of Idiosyncratic versus Macro-Economic Factors," Other publications TiSEM ea4f2f0e-dc50-4987-91d3-6, Tilburg University, School of Economics and Management.
  89. BARANGA, Laurentiu Paul & PANAIT, Iulian, 2018. "Estimating The Credit Risk Score For Non Bank Stock Exchange Intermediaries In The Eventuality Of Changeover To Euro Currency," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 22(4), pages 25-40, December.
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  97. 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.
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  99. 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.
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  102. Wang, Baolian, 2019. "The cash conversion cycle spread," Journal of Financial Economics, Elsevier, vol. 133(2), pages 472-497.
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  112. Antonio Trujillo-Ponce & Reyes Samaniego-Medina & Clara Cardone-Riportella, 2014. "Examining what best explains corporate credit risk: accounting-based versus market-based models," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(2), pages 253-276, April.
  113. М.Ye. Listopad & M.V. Makhov, 2019. "Major Models of Economic Security Evaluation at Enterprises and Their Applicability to Telecommunication Companies," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 1), pages 362-370.
  114. Epure, Mircea & Guasch, Martí, 2020. "Debt signaling and outside investors in early stage firms," Journal of Business Venturing, Elsevier, vol. 35(2).
  115. Reza Monem, 2011. "The One.Tel Collapse: Lessons for Corporate Governance," Australian Accounting Review, CPA Australia, vol. 21(4), pages 340-351, December.
  116. 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.
  117. Elizabeth A. Gordon & Elaine Henry & Bjorn N. Jorgensen & Cheryl L. Linthicum, 2017. "Flexibility in cash-flow classification under IFRS: determinants and consequences," Review of Accounting Studies, Springer, vol. 22(2), pages 839-872, June.
  118. Akbas, Ferhat & Armstrong, Will J. & Sorescu, Sorin & Subrahmanyam, Avanidhar, 2015. "Smart money, dumb money, and capital market anomalies," Journal of Financial Economics, Elsevier, vol. 118(2), pages 355-382.
  119. Jie Sun, 2012. "Integration Of Random Sample Selection, Support Vector Machines And Ensembles For Financial Risk Forecasting With An Empirical Analysis On The Necessity Of Feature Selection," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 229-246, October.
  120. 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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