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Bankruptcy Prediction with Industry Effects

Citations

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Cited by:

  1. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2012. "The Aggregate Demand for Treasury Debt," Journal of Political Economy, University of Chicago Press, vol. 120(2), pages 233-267.
  2. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
  3. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4534-4555.
  4. 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.
  5. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(4), pages 1-17, September.
  6. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
  7. 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.
  8. Jens Hilscher & Mungo Wilson, 2011. "Credit ratings and credit risk," Working Papers 31, Brandeis University, Department of Economics and International Businesss School.
  9. 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.
  10. 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.
  11. Ke Wang & Darrell Duffie, 2004. "Multi-Period Corporate Failure Prediction With Stochastic Covariates," Econometric Society 2004 Far Eastern Meetings 747, Econometric Society.
  12. Vasso Ioannidou & Steven Ongena & José-Luis Peydró, 2015. "Monetary Policy, Risk-Taking, and Pricing: Evidence from a Quasi-Natural Experiment," Review of Finance, European Finance Association, vol. 19(1), pages 95-144.
  13. Ruey-Ching Hwang & K. F. Cheng & Jack C. Lee, 2007. "A semiparametric method for predicting bankruptcy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 317-342.
  14. Péter Bauer & Marianna Endrész, 2016. "Modelling Bankruptcy Using Hungarian Firm-Level Data," MNB Occasional Papers 2016/122, Magyar Nemzeti Bank (Central Bank of Hungary).
  15. Jeanneret, Alexandre & Souissi, Slim, 2016. "Sovereign defaults by currency denomination," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 197-222.
  16. Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 112-135.
  17. Scalzer, Rodrigo S. & Rodrigues, Adriano & Macedo, Marcelo Álvaro da S. & Wanke, Peter, 2019. "Financial distress in electricity distributors from the perspective of Brazilian regulation," Energy Policy, Elsevier, vol. 125(C), pages 250-259.
  18. Atkeson, Andrew G. & Eisfeldt, Andrea L. & Weill, Pierre-Olivier, 2017. "Measuring the financial soundness of U.S. firms, 1926–2012," Research in Economics, Elsevier, vol. 71(3), pages 613-635.
  19. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
  20. Abel Elizalde, 2006. "Credit Risk Models IV: Understanding and Pricing CDOs," Working Papers wp2006_0608, CEMFI.
  21. Shanling Li & Jennifer Shang & Sandra A. Slaughter, 2010. "Why Do Software Firms Fail? Capabilities, Competitive Actions, and Firm Survival in the Software Industry from 1995 to 2007," Information Systems Research, INFORMS, vol. 21(3), pages 631-654, September.
  22. Huang, Kershen & Petkevich, Alex, 2016. "Corporate bond pricing and ownership heterogeneity," Journal of Corporate Finance, Elsevier, vol. 36(C), pages 54-74.
  23. Jiménez, Gabriel & Ongena, Steven & Peydró, José Luis & Saurina, Jesús, 2007. "Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk?," CEPR Discussion Papers 6514, C.E.P.R. Discussion Papers.
  24. De Bock, Koen W. & Coussement, Kristof & Lessmann, Stefan, 2020. "Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach," European Journal of Operational Research, Elsevier, vol. 285(2), pages 612-630.
  25. 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.
  26. Anginer, Deniz & Yildizhan, Celim, 2009. "Is there a Distress Risk Anomaly? Pricing of Systematic Default Risk in the Cross Section of Equity Returns," MPRA Paper 53885, University Library of Munich, Germany, revised 23 Apr 2013.
  27. Adam Geršl & Petr Jakubik & Dorota Kowalczyk & Steven Ongena & José-Luis Peydró, 2015. "Monetary Conditions and Banks’ Behaviour in the Czech Republic," Open Economies Review, Springer, vol. 26(3), pages 407-445, July.
  28. Stavros Peristiani & Vanessa Savino, 2011. "Are credit default swaps associated with higher corporate defaults?," Staff Reports 494, Federal Reserve Bank of New York.
  29. Gupta, Jairaj & Chaudhry, Sajid, 2019. "Mind the tail, or risk to fail," Journal of Business Research, Elsevier, vol. 99(C), pages 167-185.
  30. Felipe Zurita, 2008. "La Predicción de la Insolvencia de Empresas Chilenas," Documentos de Trabajo 336, Instituto de Economia. Pontificia Universidad Católica de Chile..
  31. Owen P. Hall Jr. & Darrol J. Stanley, 2012. "A comparative modelling analysis of firm performance," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 4(1), pages 43-56.
  32. Maurizio Luisi & Jeffery D. Amato, 2006. "Macro factors in the term structure of credit spreads," BIS Working Papers 203, Bank for International Settlements.
  33. Peter D. Wysocki, 2007. "Discussion of IPO Failure Risk," Journal of Accounting Research, Wiley Blackwell, vol. 45(2), pages 373-384, May.
  34. El Kalak, Izidin & Hudson, Robert, 2016. "The effect of size on the failure probabilities of SMEs: An empirical study on the US market using discrete hazard model," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 135-145.
  35. Posch Peter N. & Loeffler Gunter & Schoene Christiane, 2005. "Bayesian Methods for Improving Credit Scoring Models," Finance 0505024, University Library of Munich, Germany.
  36. Beccalli, Elena & Frantz, Pascal, 2016. "Why are some banks recapitalized and others taken over?," LSE Research Online Documents on Economics 67305, London School of Economics and Political Science, LSE Library.
  37. Alexander Becker & Alexander F. R. Koivusalo & Rudi Schafer, 2012. "Empirical Evidence for the Structural Recovery Model," Papers 1203.3188, arXiv.org.
  38. Takeaki Kariya & Yoko Tanokura & Hideyuki Takada & Yoshiro Yamamura, 2016. "Measuring Credit Risk of Individual Corporate Bonds in US Energy Sector," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(3), pages 229-262, September.
  39. Orth, Walter, 2011. "Multi-period credit default prediction with time-varying covariates," MPRA Paper 30507, University Library of Munich, Germany.
  40. Chen, Jie & De Cesari, Amedeo & Hill, Paula & Ozkan, Neslihan, 2018. "Initial compensation contracts for new executives and financial distress risk: An empirical investigation of UK firms," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 292-313.
  41. Christine L. Dobridge, 2016. "Fiscal Stimulus and Firms: A Tale of Two Recessions," Finance and Economics Discussion Series 2016-13, Board of Governors of the Federal Reserve System (U.S.).
  42. Correia, Maria & Kang, Johnny & Richardson, Scott, 2017. "Asset volatility," LSE Research Online Documents on Economics 84405, London School of Economics and Political Science, LSE Library.
  43. 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).
  44. 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.
  45. Gabriel Jiménez & Steven Ongena & José-Luis Peydró & Jesús Saurina, 2017. "“In the Short Run Blasé, In the Long Run Risqué”," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(3), pages 181-226, August.
  46. Ana Simpson, 2010. ""Discussion of" The Relevance of Accounting Information in a Stock Market Bubble: Evidence from Internet IPOs," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(3-4), pages 322-331.
  47. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2007. "The Demand for Treasury Debt," NBER Working Papers 12881, National Bureau of Economic Research, Inc.
  48. Campello, Murillo & Gao, Janet, 2017. "Customer concentration and loan contract terms," Journal of Financial Economics, Elsevier, vol. 123(1), pages 108-136.
  49. Soo Young Kim, 2018. "Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 483-503, September.
  50. Halpern, Paul & Kieschnick, Robert & Rotenberg, Wendy, 2009. "Determinants of financial distress and bankruptcy in highly levered transactions," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 772-783, August.
  51. Kay Giesecke & Francis A. Longstaff & Stephen Schaefer & Ilya Strebulaev, 2010. "Corporate Bond Default Risk: A 150-Year Perspective," NBER Working Papers 15848, National Bureau of Economic Research, Inc.
  52. Papanikolaou, Nikolaos I., 2018. "To be bailed out or to be left to fail? A dynamic competing risks hazard analysis," Journal of Financial Stability, Elsevier, vol. 34(C), pages 61-85.
  53. Wenxin Du & Salil Gadgil & Michael B. Gordy & Clara Vega, 2016. "Counterparty Risk and Counterparty Choice in the Credit Default Swap Market," Finance and Economics Discussion Series 2016-087, Board of Governors of the Federal Reserve System (U.S.).
  54. Kanak Patel & Ricardo Pereira, 2007. "Expected Default Probabilities in Structural Models: Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 107-133, January.
  55. Christian Lohmann & Thorsten Ohliger, 2017. "Nonlinear Relationships and Their Effect on the Bankruptcy Prediction," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(3), pages 261-287, August.
  56. Xin Guo & Robert A. Jarrow & Yan Zeng, 2009. "Credit Risk Models with Incomplete Information," Mathematics of Operations Research, INFORMS, vol. 34(2), pages 320-332, May.
  57. Ilyes Abid & Farid Mkaouar & Olfa Kaabia, 2018. "Dynamic analysis of the forecasting bankruptcy under presence of unobserved heterogeneity," Annals of Operations Research, Springer, vol. 262(2), pages 241-256, March.
  58. Andrew Kuritzkes & Til Schuermann & Scott Weiner, 2002. "Deposit Insurance and Risk Management of the U.S. Banking System: How Much? How Safe? Who Pays?," Center for Financial Institutions Working Papers 02-02, Wharton School Center for Financial Institutions, University of Pennsylvania.
  59. Kaiser, Ulrich & Kuhn, Johan M., 2020. "The value of publicly available, textual and non-textual information for startup performance prediction," ZEW Discussion Papers 20-012, ZEW - Leibniz Centre for European Economic Research.
  60. Anastasios Petropoulos & Vasilis Siakoulis & Evaggelos Stavroulakis & Aristotelis Klamargias, 2019. "A robust machine learning approach for credit risk analysis of large loan level datasets using deep learning and extreme gradient boosting," IFC Bulletins chapters, in: Bank for International Settlements (ed.),Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
  61. 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.
  62. Derrien, François & Kecskés, Ambrus & Mansi, Sattar A., 2016. "Information asymmetry, the cost of debt, and credit events: Evidence from quasi-random analyst disappearances," Journal of Corporate Finance, Elsevier, vol. 39(C), pages 295-311.
  63. Bernini, Michele & Montagnoli, Alberto, 2017. "Competition and financial constraints: A two-sided story," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 88-109.
  64. Nilabhra Bhattacharya & Elizabeth Demers & Philip Joos, 2010. "The Relevance of Accounting Information in a Stock Market Bubble: Evidence from Internet IPOs," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(3-4), pages 291-321.
  65. Sudheer Chava, 2014. "Environmental Externalities and Cost of Capital," Management Science, INFORMS, vol. 60(9), pages 2223-2247, September.
  66. Michela Altieri & Giovanna Nicodano, 2020. "Survival and Pricing Puzzles," Carlo Alberto Notebooks 604, Collegio Carlo Alberto.
  67. Clive S. Lennox & Asad Kausar, 2017. "Estimation risk and auditor conservatism," Review of Accounting Studies, Springer, vol. 22(1), pages 185-216, March.
  68. Dimitris Mokas & Rob Nijskens, 2019. "Credit risk in commercial real estate bank loans: the role of idiosyncratic versus macro-economic factors," DNB Working Papers 653, Netherlands Central Bank, Research Department.
  69. Dong, Manh Cuong & Tian, Shaonan & Chen, Cathy W.S., 2018. "Predicting failure risk using financial ratios: Quantile hazard model approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 204-220.
  70. Beccalli, Elena & Frantz, Pascal, 2016. "Why are some banks recapitalized and others taken over?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 79-95.
  71. Maria Correia & Johnny Kang & Scott Richardson, 2018. "Asset volatility," Review of Accounting Studies, Springer, vol. 23(1), pages 37-94, March.
  72. Alhassan Bunyaminu, 2015. "Business Failure Prediction: An emperical study based on Survival Analysis and Generalized Linear Modelling (GLM) Techniques," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 4(3), pages 135-149.
  73. Elizabeth Demers & Philip Joos, 2007. "IPO Failure Risk," Journal of Accounting Research, Wiley Blackwell, vol. 45(2), pages 333-371, May.
  74. Haipeng Xing & Yang Yu, 2018. "Firm’s Credit Risk in the Presence of Market Structural Breaks," Risks, MDPI, Open Access Journal, vol. 6(4), pages 1-16, December.
  75. Andrew Kuritzkes & Til Schuermann & Scott Weiner, 2005. "Deposit Insurance and Risk Management of the U.S. Banking System: What is the Loss Distribution Faced by the FDIC?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 27(3), pages 217-242, September.
  76. Chen, Zhizhen & Liu, Frank Hong & Opong, Kwaku & Zhou, Mingming, 2017. "Short-term safety or long-term failure? Empirical evidence of the impact of securitization on bank risk," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 48-74.
  77. Marta Gómez-Puig & Simón Sosvilla-Rivero & Manish K. Singh, 2018. "“Incorporating creditors' seniority into contingent claim models:Application to peripheral euro area countries”," IREA Working Papers 201803, University of Barcelona, Research Institute of Applied Economics, revised Feb 2018.
  78. Jacek Welc, 2016. "Empirical Safety Thresholds for Liquidity and Indebtedness Ratios on the Polish Capital Market," European Financial and Accounting Journal, University of Economics, Prague, vol. 2016(3), pages 39-52.
  79. John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.
  80. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2017. "‘In the Short Run Blasé, in the Long Run Risqué’. On the Effects of Monetary Policy on Bank Credit Risk-Taking in the Short versus Long Run," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 181-226.
  81. 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.
  82. ARATA Yoshiyuki, 2018. "Bankruptcy propagation on a customer-supplier network: An empirical analysis in Japan," Discussion papers 18040, Research Institute of Economy, Trade and Industry (RIETI).
  83. Rafael Repullo & Jesús Saurina & Carlos Trucharte, 2010. "Mitigating the pro-cyclicality of Basel II," Economic Policy, CEPR;CES;MSH, vol. 25, pages 659-702, October.
  84. Cole, Rebel A. & Wu, Qiongbing, 2009. "Is hazard or probit more accurate in predicting financial distress? Evidence from U.S. bank failures," MPRA Paper 24688, University Library of Munich, Germany, revised 01 Aug 2010.
  85. OGANE Yuta, 2017. "Effects of Main Bank Switch on Small Business Bankruptcy," Discussion papers 17019, Research Institute of Economy, Trade and Industry (RIETI).
  86. Mizen, Paul & Tsoukas, Serafeim, 2012. "Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model," International Journal of Forecasting, Elsevier, vol. 28(1), pages 273-287.
  87. Jonathan Witmer, 2008. "An Examination of Canadian Firms Delisting from U.S. Exchanges," Staff Working Papers 08-11, Bank of Canada.
  88. Lian, Yili, 2017. "Financial distress and customer-supplier relationships," Journal of Corporate Finance, Elsevier, vol. 43(C), pages 397-406.
  89. Gunter Löffler & Alina Maurer, 2009. "Incorporating the Dynamics of Leverage into Default Prediction," SFB 649 Discussion Papers SFB649DP2009-024, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  90. Duan, Jin-Chuan & Kim, Baeho & Kim, Woojin & Shin, Donghwa, 2018. "Default probabilities of privately held firms," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 235-250.
  91. Doumpos, Michalis & Andriosopoulos, Kostas & Galariotis, Emilios & Makridou, Georgia & Zopounidis, Constantin, 2017. "Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics," European Journal of Operational Research, Elsevier, vol. 262(1), pages 347-360.
  92. Sudheer Chava & Catalina Stefanescu & Stuart Turnbull, 2011. "Modeling the Loss Distribution," Management Science, INFORMS, vol. 57(7), pages 1267-1287, July.
  93. 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.
  94. Kim, Jeong-Bon & Song, Byron Y. & Wang, Zheng, 2017. "Special purpose entities and bank loan contracting," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 133-152.
  95. Miao, Hong & Ramchander, Sanjay & Ryan, Patricia & Wang, Tianyang, 2018. "Default prediction models: The role of forward-looking measures of returns and volatility," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 146-162.
  96. Luca Sensini, 2016. "An Empirical Analysis of Financially Distressed Italian Companies," International Business Research, Canadian Center of Science and Education, vol. 9(10), pages 75-85, October.
  97. Nidhi Aggarwal & Manish Singh & Susan Thomas, 2012. "Do changes in distance-to-default anticipate changes in the credit rating?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-010, Indira Gandhi Institute of Development Research, Mumbai, India.
  98. Duan, Jin-Chuan & Sun, Jie & Wang, Tao, 2012. "Multiperiod corporate default prediction—A forward intensity approach," Journal of Econometrics, Elsevier, vol. 170(1), pages 191-209.
  99. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
  100. Avino, Davide E. & Conlon, Thomas & Cotter, John, 2019. "Credit default swaps as indicators of bank financial distress," Journal of International Money and Finance, Elsevier, vol. 94(C), pages 132-139.
  101. Christian Lohmann & Thorsten Ohliger, 2020. "Bankruptcy prediction and the discriminatory power of annual reports: empirical evidence from financially distressed German companies," Journal of Business Economics, Springer, vol. 90(1), pages 137-172, February.
  102. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2009. "Supplier default dependencies: Empirical evidence from the automotive industry," European Journal of Operational Research, Elsevier, vol. 199(1), pages 150-161, November.
  103. Aneta Ptak-Chmielewska, 2019. "Predicting Micro-Enterprise Failures Using Data Mining Techniques," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(1), pages 1-17, February.
  104. Evangelos C. Charalambakis & Ian Garrett, 2019. "On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 467-491, February.
  105. Zhaklina Dhamo & Vasilika Kume, 2016. "Tendencies and Characteristics of Financial Distress: An Introductory Comparative Study among Three Industries in Albania," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 2(2), pages 167-180, April.
  106. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.
  107. Nikolov, Boris & Schmid, Lukas & Steri, Roberto, 2019. "Dynamic corporate liquidity," Journal of Financial Economics, Elsevier, vol. 132(1), pages 76-102.
  108. Anastasios Petropoulos & Vasilis Siakoulis & Evaggelos Stavroulakis & Aristotelis Klamargias, 2019. "A robust machine learning approach for credit risk analysis of large loan-level datasets using deep learning and extreme gradient boosting," IFC Bulletins chapters, in: Bank for International Settlements (ed.),The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
  109. Takeaki Kariya & Yoshiro Yamamura & Koji Inui, 2019. "Empirical Credit Risk Ratings of Individual Corporate Bonds and Derivation of Term Structures of Default Probabilities," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(3), pages 1-29, July.
  110. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(4), pages 1-15, December.
  111. Niket Jindal & Leigh McAlister, 2015. "The Impacts of Advertising Assets and R&D Assets on Reducing Bankruptcy Risk," Marketing Science, INFORMS, vol. 34(4), pages 555-572, July.
  112. Rastin Matin & Casper Hansen & Christian Hansen & Pia M{o}lgaard, 2018. "Predicting Distresses using Deep Learning of Text Segments in Annual Reports," Papers 1811.05270, arXiv.org.
  113. Sermpinis, Georgios & Tsoukas, Serafeim & Zhang, Ping, 2018. "Modelling market implied ratings using LASSO variable selection techniques," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 19-35.
  114. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  115. Stewart Jones, 2017. "Corporate bankruptcy prediction: a high dimensional analysis," Review of Accounting Studies, Springer, vol. 22(3), pages 1366-1422, September.
  116. Maria Heui-Yeong Kim & Shiguang Ma & Yanran Annie Zhou, 2016. "Survival prediction of distressed firms: evidence from the Chinese special treatment firms," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(3), pages 418-443, July.
  117. Irving Fisher Committee, 2019. "The use of big data analytics and artificial intelligence in central banking," IFC Bulletins, Bank for International Settlements, number 50.
  118. Gila Burde, 2018. "Improved Methods for Predicting the Financial Vulnerability of Nonprofit Organizations," Administrative Sciences, MDPI, Open Access Journal, vol. 8(1), pages 1-8, February.
  119. 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.
  120. 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.
  121. Kwon, Tae Yeon & Lee, Yoonjung, 2018. "Industry specific defaults," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 45-58.
  122. 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.
  123. Azizpour, S & Giesecke, K. & Schwenkler, G., 2018. "Exploring the sources of default clustering," Journal of Financial Economics, Elsevier, vol. 129(1), pages 154-183.
  124. Marek Gruszczynski, 2015. "Issues in modelling the financial distress and bankruptcy of companies," Applied Econometrics Papers, Department of Applied Econometrics, Warsaw School of Economics, vol. 2(1), pages 1-9.
  125. Ligang Zhou & Kin Keung Lai, 2017. "AdaBoost Models for Corporate Bankruptcy Prediction with Missing Data," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 69-94, June.
  126. 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.
  127. Kaiser, Ulrich & Kuhn, Johan Moritz, 2020. "The Value of Publicly Available, Textual and Non-textual Information for Startup Performance Prediction," IZA Discussion Papers 13029, Institute of Labor Economics (IZA).
  128. Kim, Dongcheol & Lee, Inro & Na, Haejung, 2019. "Financial distress, short sale constraints, and mispricing," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 94-111.
  129. Krüger, Steffen & Oehme, Toni & Rösch, Daniel & Scheule, Harald, 2018. "A copula sample selection model for predicting multi-year LGDs and Lifetime Expected Losses," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 246-262.
  130. Xin Huang, 2020. "The risk of betting on risk: Conditional variance and correlation of bank credit default swaps," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 710-721, May.
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