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Financial Ratios As Predictors Of Failure

Citations

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Cited by:

  1. ANDREICA Madalina Ecaterina & ANDREICA Mugurel Ionut & ANDREICA Marin, 2009. "Using financial ratios to identify Romanian distressed companies," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1 Special), pages 46-55, July.
  2. Katarina Valaskova & Tomas Kliestik & Lucia Svabova & Peter Adamko, 2018. "Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
  3. Iwasaki, Ichiro & 岩﨑, 一郎, 2013. "Global Financial Crisis, Corporate Governance, and Firm Survival: The Russian Experience," RRC Working Paper Series 37_v2, Russian Research Center, Institute of Economic Research, Hitotsubashi University.
  4. Azrul Bin Abdullah & Ku Nor Izah Ku Ismail, 2008. "Disclosure of Voluntary Accounting Ratios by Malaysian Listed Companies," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 6(1), pages 1-20, January.
  5. Alessandra Amendola & Marialuisa Restaino & Luca Sensini, 2010. "Variabile Selection in Forecasting Models for Corporate Bankruptcy," Working Papers 3_216, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
  6. Harlan D. Platt & Marjorie B. Platt, 2008. "Financial Distress Comparison Across Three Global Regions," JRFM, MDPI, vol. 1(1), pages 1-34, December.
  7. Xiangzhou Chen & Zhi Long, 2023. "E-Commerce Enterprises Financial Risk Prediction Based on FA-PSO-LSTM Neural Network Deep Learning Model," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
  8. 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.
  9. Jorge Dietrich & F. J. Arcelus & G. Srinivasan, 2005. "Predicting financial failure: some evidence from new brunswick agricultural co‐ops," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 76(2), pages 179-194, June.
  10. 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.
  11. 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).
  12. Forgione, Antonio Fabio & Migliardo, Carlo, 2018. "Forecasting distress in cooperative banks: The role of asset quality," International Journal of Forecasting, Elsevier, vol. 34(4), pages 678-695.
  13. Castillo, José A. & Mora-Valencia, Andrés & Perote, Javier, 2018. "Moral hazard and default risk of SMEs with collateralized loans," Finance Research Letters, Elsevier, vol. 26(C), pages 95-99.
  14. Vrinda Dhingra & Amita Sharma & Shiv K. Gupta, 2021. "Sectoral portfolio optimization by judicious selection of financial ratios via PCA," Papers 2106.11484, arXiv.org, revised Jan 2023.
  15. Josep M. Argilés, 1998. "Accounting information and the prediction of farm viability," Economics Working Papers 277, Department of Economics and Business, Universitat Pompeu Fabra.
  16. 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.
  17. 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.
  18. 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.
  19. Carlos Serrano-Cinca, 1997. "Feedforward neural networks in the classification of financial information," The European Journal of Finance, Taylor & Francis Journals, vol. 3(3), pages 183-202.
  20. Nagy Marek & Valaskova Katarina, 2023. "An Analysis of the Financial Health of Companies Concerning the Business Environment of the V4 Countries," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 170-193, June.
  21. Swami, Onkar Shivraj & Vishnu Kumar, N. Arun & Baruah, Palash, 2012. "Determinants of the exit decision of foreign banks in India," MPRA Paper 38722, University Library of Munich, Germany.
  22. Catherine Refait-Alexandre, 2000. "Estimation du risque de défaut par une modélisation stochastique du bilan : application à des firmes industrielles françaises," Post-Print hal-01359570, HAL.
  23. 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.
  24. 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.
  25. Kamesh Korangi & Christophe Mues & Cristi'an Bravo, 2021. "A transformer-based model for default prediction in mid-cap corporate markets," Papers 2111.09902, arXiv.org, revised Apr 2023.
  26. 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.
  27. Serhiy Zabolotnyy & Mirosław Wasilewski, 2019. "The Concept of Financial Sustainability Measurement: A Case of Food Companies from Northern Europe," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
  28. Bamiatzi, Vassiliki & Efthyvoulou, Georgios & Jabbour, Liza, 2017. "Foreign vs domestic ownership on debt reduction: An investigation of acquisition targets in Italy and Spain," International Business Review, Elsevier, vol. 26(5), pages 801-815.
  29. 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.
  30. 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.
  31. Shih, Kuang Hsun & Cheng, Ching Chan & Wang, Yi Hsien, 2011. "Financial Information Fraud Risk Warning for Manufacturing Industry - Using Logistic Regression and Neural Network," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 54-71, March.
  32. Wijn, M.F.C.M. & Bijnen, E.J., 1989. "Prediction of failure in industry : An analysis of income statements," Research Memorandum FEW 392, Tilburg University, School of Economics and Management.
  33. 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.
  34. Youssef Zizi & Mohamed Oudgou & Abdeslam El Moudden, 2020. "Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach," Risks, MDPI, vol. 8(4), pages 1-21, October.
  35. 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.
  36. B Korcan Ak & Patricia M Dechow & Yuan Sun & Annika Yu Wang, 2013. "The use of financial ratio models to help investors predict and interpret significant corporate events," Australian Journal of Management, Australian School of Business, vol. 38(3), pages 553-598, December.
  37. Brindescu-Olariu Daniel & Golet Ionut, 2013. "Prediction Of Corporate Bankruptcy In Romania Through The Use Of Logistic Regression," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 976-986, July.
  38. Misankova Maria & Zvarikova Katarina & Kliestikova Jana, 2017. "Bankruptcy Practice in Countries of Visegrad Four," Economics and Culture, Sciendo, vol. 14(1), pages 108-118, June.
  39. Marco Bisogno, 2012. "The Accessibility Of The Italian Bankruptcy Procedures: An Empirical Analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 2(2), pages 1-24, December.
  40. William Dipietro & Bansi Sawhney, 1977. "Business Failures, Managerial Competence, and Macroeconomic Variables," Entrepreneurship Theory and Practice, , vol. 2(2), pages 4-15, October.
  41. 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.
  42. 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.
  43. Psillaki, Maria & Tsolas, Ioannis E. & Margaritis, Dimitris, 2010. "Evaluation of credit risk based on firm performance," European Journal of Operational Research, Elsevier, vol. 201(3), pages 873-881, March.
  44. Divesh Sharma, 1996. "Analysing the Statement of Cashflows," Australian Accounting Review, CPA Australia, vol. 6(12), pages 37-44, September.
  45. 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.
  46. 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.
  47. TOBBACK, Ellen & MOEYERSOMS, Julie & STANKOVA, Marija & MARTENS, David, 2016. "Bankruptcy prediction for SMEs using relational data," Working Papers 2016004, University of Antwerp, Faculty of Business and Economics.
  48. Fidrmuc, Jarko & Hainz, Christa, 2010. "Default rates in the loan market for SMEs: Evidence from Slovakia," Economic Systems, Elsevier, vol. 34(2), pages 133-147, June.
  49. 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.
  50. Dang, Jianwei & Motohashi, Kazuyuki, 2012. "Patent value and liquidity: evidence from patent-collateralized loans in China," MPRA Paper 49547, University Library of Munich, Germany.
  51. Daniel Acheampong & Chrissann Ruehle & Tanya S. Benford, 2023. "Drivers Of Utility Viability And Sustainability: Do Nonfinancial Performance Measures Make A Difference?," Accounting & Taxation, The Institute for Business and Finance Research, vol. 15(1), pages 1-25.
  52. 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.
  53. Sun, Xiaojun & Lei, Yalin, 2021. "Research on financial early warning of mining listed companies based on BP neural network model," Resources Policy, Elsevier, vol. 73(C).
  54. Tania Hamid & Farzana Akter & Naharin Rab, 2016. "Prediction of Financial Distress of Non-Bank Financial Institutions of Bangladesh using Altman’s Z Score Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(12), pages 261-261, November.
  55. 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.
  56. 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.
  57. Stewart Leech & Tiina-Liisa Sexton, 1994. "Liquidate Or Trade Out? An Expert System To Explain The Decision Process," Australian Accounting Review, CPA Australia, vol. 4(7), pages 28-36, May.
  58. 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.
  59. 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.
  60. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
  61. Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021. "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 99-116.
  62. Liang, Deron & Tsai, Chih-Fong & Lu, Hung-Yuan (Richard) & Chang, Li-Shin, 2020. "Combining corporate governance indicators with stacking ensembles for financial distress prediction," Journal of Business Research, Elsevier, vol. 120(C), pages 137-146.
  63. 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.
  64. Farida Titik Kristanti, 2017. "Corporate Governance, Financial Ratios, Political Risk and Financial Distress, A Survival Analysis," GATR Journals afr130, Global Academy of Training and Research (GATR) Enterprise.
  65. Ampudia, Miguel & Busetto, Filippo & Fornari, Fabio, 2022. "Chronicle of a death foretold: does higher volatility anticipate corporate default?," Bank of England working papers 1001, Bank of England.
  66. E. Fedorova A. & M. Chukhlantseva A. & D. Chekrizov V. & ЕЛЕНА Федорова АНАТОЛЬЕВНА & МАРИЯ Чухланцева АЛЕКСАНДРОВНА & ДМИТРИЙ Чекризов ВАСИЛЬЕВИЧ, 2017. "Нормативные значения коэффициентов финансовой устойчивости: особенности видов экономической деятельности // Normative Values of Financial Stability Ratios: Industry-Specific Features," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 7(2), pages 44-55.
  67. Jarko Fidrmuc & Pavel Ciaian & d'Artis Kancs & Jan Pokrivcak, 2013. "Credit Constraints, Heterogeneous Firms and Loan Defaults," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 53-68, May.
  68. Daphne Lui & Stanimir Markov & Ane Tamayo, 2007. "What Makes a Stock Risky? Evidence from Sell‐Side Analysts' Risk Ratings," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 629-665, June.
  69. Sebastian Klaudiusz Tomczak, 2020. "Multi-class Models for Assessing the Financial Condition of Manufacturing Enterprises," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(2), June.
  70. 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.
  71. Erkki Laitinen, 2011. "Assessing viability of Finnish reorganization and bankruptcy firms," European Journal of Law and Economics, Springer, vol. 31(2), pages 167-198, April.
  72. 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.
  73. Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Journal of Entrepreneurial and Organizational Diversity, European Research Institute on Cooperative and Social Enterprises, vol. 3(1), pages 89-103, June.
  74. Abdulkadir Abdulrashid Rafindadi & Zarinah Yusof, 2014. "Are the Periods of Currency Collapse an Impediment to Entrepreneurship and Entrepreneurial Haven? Evidence from Regional Comparison," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 886-908.
  75. 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.
  76. Pablo de Llano Monelos & Manuel Rodríguez López & Carlos Piñeiro Sánchez, 2013. "Bankruptcy Prediction Models in Galician companies. Application of Parametric Methodologies and Artificial Intelligence," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 117-136.
  77. 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.
  78. Šlefendorfas Gediminas, 2016. "Bankruptcy Prediction Model for Private Limited Companies of Lithuania," Ekonomika (Economics), Sciendo, vol. 95(1), pages 134-152, January.
  79. Ojeabulu Uyi Michael & Chigbu E. Ezeji & Ozurumba A. Benedict & Kanu Success Ikechi, 2020. "Financial Ratios as Predictors of Financial Distress: A Study on Some Select Deposit Money Banks in Nigeria (1991-2014)," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 6(3), pages 29-42, March.
  80. 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.
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  82. 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.
  83. Henri Arno & Klaas Mulier & Joke Baeck & Thomas Demeester, 2022. "Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines," Papers 2208.11334, arXiv.org.
  84. 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.
  85. 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.
  86. Ali, Searat & Liu, Benjamin & Su, Jen Je, 2018. "Does corporate governance quality affect default risk? The role of growth opportunities and stock liquidity," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 422-448.
  87. Lukason, Oliver & Laitinen, Erkki K., 2019. "Firm failure processes and components of failure risk: An analysis of European bankrupt firms," Journal of Business Research, Elsevier, vol. 98(C), pages 380-390.
  88. 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.
  89. Gila Burde, 2018. "Improved Methods for Predicting the Financial Vulnerability of Nonprofit Organizations," Administrative Sciences, MDPI, vol. 8(1), pages 1-8, February.
  90. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
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  93. 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.
  94. Knox, Kris Joseph & Blankmeyer, Eric C. & Trinidad, José A. & Stutzman, J.R., 2009. "Predicting bankruptcy in the Texas nursing facility industry," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1047-1064, August.
  95. Caporale, Guglielmo Maria & Cerrato, Mario & Zhang, Xuan, 2017. "Analysing the determinants of insolvency risk for general insurance firms in the UK," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 107-122.
  96. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
  97. 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.
  98. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña, 2014. "Microfinance, the long tail and mission drift," International Business Review, Elsevier, vol. 23(1), pages 181-194.
  99. Wolfgang Ballwieser, 2019. "Überlegungen zu Theorie und Praxis der Finanzberichterstattung: Herausforderungen, Erkenntnisse und Lücken [Reflections on Theory and Practice of Financial Reporting: Challenges, Scientific Finding," Schmalenbach Journal of Business Research, Springer, vol. 71(2), pages 169-211, July.
  100. Roshayani Arshad & Sharinah Mohamed Iqbal & Normah Omar, 2015. "Prediction of Business Failure and Fraudulent Financial Reporting: Evidence from Malaysia," Indian Journal of Corporate Governance, , vol. 8(1), pages 34-53, June.
  101. Jindrich Spicka & Tomas Hlavsa & Katerina Soukupova & Marie Stolbova, 2019. "Approaches to estimation the farm-level economic viability and sustainability in agriculture: A literature review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(6), pages 289-297.
  102. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
  103. Edward I. Altman, 2013. "Predicting financial distress of companies: revisiting the Z-Score and ZETA® models," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 17, pages 428-456, Edward Elgar Publishing.
  104. 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.
  105. Izan, H. Y., 1984. "Corporate distress in Australia," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 303-320, June.
  106. Iotti, Mattia, 2023. "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), October.
  107. 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.
  108. Maria H. Kim & Graham Partington, 2015. "Dynamic forecasts of financial distress of Australian firms," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 135-160, February.
  109. Yasser Alhenawi & Martha Stilwell, 2017. "Value creation and the probability of success in merger and acquisition transactions," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1041-1085, November.
  110. Edith Navarrete Marneou & Edgar Sansores Guerrero, 2011. "Quintano Roo Mexico Micro, Small And Medium Sized Business Failure: An Multi Variable Analysis, El Fracaso De Las Micro, Pequenas Y Medianas Empresas En Quintana Roo, Mexico: Un Analisis Multivariante," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 4(3), pages 21-33.
  111. Amélie Artis & Simon Cornée, 2017. "Composition, Interpretation and Memorisation of the Idiosyncratic Knowledge in Social Banking," Working Papers CEB 17-002, ULB -- Universite Libre de Bruxelles.
  112. Fazelina Sahul Hamid, 2013. "The Effect of Reliance on International Funding on Banking Fragility: Evidence from East Asia," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(1), pages 29-60, February.
  113. 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.
  114. Václav Klepáč, 2015. "Default Probability Prediction with Static Merton-D-Vine Copula Model," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 1(2), pages 104-113.
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