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1. Bankruptcy prediction and the discriminatory power of annual reports: empirical evidence from financially distressed German companies. (2020). Ohliger, Thorsten ; Lohmann, Christian.
   In: Journal of Business Economics.
   RePEc:spr:jbecon:v:90:y:2020:i:1:d:10.1007_s11573-019-00938-1.

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2. Corporate Default Predictions Using Machine Learning: Literature Review. (2020). Cho, Hoon ; Kim, Hyeongjun ; Ryu, Doojin.
   In: Sustainability.
   RePEc:gam:jsusta:v:12:y:2020:i:16:p:6325-:d:395215.

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3. Using News Articles and Financial Data to predict the likelihood of bankruptcy. (2020). Grech, Aaron ; Filletti, Michael.
   In: Papers.
   RePEc:arx:papers:2003.13414.

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4. An implementation of Soft Set Theory in the Variables Selection Process for Corporate Failure Prediction Models. Evidence from NASDAQ Listed Firms. (2019). Christopoulos, Apostolos G ; Leventides, John ; Kollias, Iraklis ; Dokas, Ioannis G.
   In: Bulletin of Applied Economics.
   RePEc:rmk:rmkbae:v:6:y:2019:i:1:p:1-20.

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5. Predicting corporate failure for listed shipping companies. (2019). Pettit, Stephen ; Ou, Zhirong ; Haider, Jane.
   In: Maritime Economics & Logistics.
   RePEc:pal:marecl:v:21:y:2019:i:3:d:10.1057_s41278-018-0101-4.

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6. Predicting financial distress of companies: Comparison between multivariate discriminant analysis and multilayer perceptron for Tunisian case. (2019). Kanzari, Inane ; Mraihi, Fayal .
   In: Working Papers.
   RePEc:erg:wpaper:1328.

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7. Analysis of financial distress cross countries: Using macroeconomic, industrial indicators and accounting data. (2019). Jayasekera, Ranadeva ; Chipulu, Maxwell ; Khoja, Layla.
   In: International Review of Financial Analysis.
   RePEc:eee:finana:v:66:y:2019:i:c:s1057521919300869.

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8. Financial distress in electricity distributors from the perspective of Brazilian regulation. (2019). Wanke, Peter ; Da, Marcelo Alvaro ; Rodrigues, Adriano ; Scalzer, Rodrigo S.
   In: Energy Policy.
   RePEc:eee:enepol:v:125:y:2019:i:c:p:250-259.

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9. Predicting financial distress: Applicability of O-score model for Pakistani firms. (2018). Waqas, Hamid ; Md-Rus, Rohani.
   In: Business and Economic Horizons (BEH).
   RePEc:pdc:jrnbeh:v:14:y:2018:i:2:p:389-401.

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10. EARLY WARNING INDICATORS - EVOLUTION FOR THE MEDICAL COMPANIES REGISTERED AT BSE. (2018). Droj, Laureniu ; Tara, Ioan Gheorghe.
    In: Annals of Faculty of Economics.
    RePEc:ora:journl:v:1:y:2018:i:2:p:102-108.

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11. Polytomous response financial distress models: The role of accounting, market and macroeconomic variables. (2018). Tinoco, Mario Hernandez ; Wilson, Nick ; Holmes, Phil.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:59:y:2018:i:c:p:276-289.

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12. Bankruptcy prediction models generalizability: Evidence from emerging market economies. (2018). Oz, Ibrahim Onur ; Simga-Mugan, Can .
    In: Advances in accounting.
    RePEc:eee:advacc:v:41:y:2018:i:c:p:114-125.

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13. The Effects of Liquidity, Profitability and Board Characteristics on Debt Restructuring Likelihood Among Malaysian GLCs. (2018). Kadir, Hanita ; Azhari, Adilah.
    In: The Journal of Social Sciences Research.
    RePEc:arp:tjssrr:2018:p:942-950.

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15. Variable selection in high‐dimensional regression: a nonparametric procedure for business failure prediction. (2017). Amendola, Alessandra ; Restaino, Marialuisa ; Parrella, Maria Lucia ; Giordano, Francesco.
    In: Applied Stochastic Models in Business and Industry.
    RePEc:wly:apsmbi:v:33:y:2017:i:4:p:355-368.

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16. Board Composition and Financial Distress of Listed Firms in Kenya. An Empirical Analysis. (2017). Ombaba, Kennedy ; Kosgei, David ; Mwengei, Kennedy .
    In: Journal of Finance and Investment Analysis.
    RePEc:spt:fininv:v:6:y:2017:i:4:f:6_4_4.

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17. Corporate risk-taking, returns and the nature of major shareholders: Evidence from prospect theory. (2017). López-Iturriaga, Félix ; Lopez-Iturriaga, Felix Javier ; Diez-Esteban, Jose Maria ; Santamaria-Mariscal, Marcos ; Garcia-Gomez, Conrado Diego .
    In: Research in International Business and Finance.
    RePEc:eee:riibaf:v:42:y:2017:i:c:p:900-911.

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18. Distressed Company Prediction Using Logistic Regression: Tunisian’s Case. (2016). Mraihi, Fayal .
    In: Quarterly Journal of Business Studies.
    RePEc:rss:jnljbs:v2i1p3.

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19. Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling. (2016). Jayasekera, Ranadeva ; Chipulu, Maxwell ; Khoja, Layla.
    In: Review of Quantitative Finance and Accounting.
    RePEc:kap:rqfnac:v:46:y:2016:i:3:d:10.1007_s11156-014-0476-y.

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20. Default risk drivers in shipping bank loans. (2016). Tsouknidis, Dimitris ; Kavussanos, Manolis.
    In: Transportation Research Part E: Logistics and Transportation Review.
    RePEc:eee:transe:v:94:y:2016:i:c:p:71-94.

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21. Development of a Prediction Model of Failure in Tunisian Companies: Comparison between Logistic Regression and Support Vector Machines. (2015). Mraihi, Fayal ; Rajhi, Mohamed Tahar ; Kanzari, Inane .
    In: International Journal of Empirical Finance.
    RePEc:rss:jnljef:v4i3p6.

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22. An Integrated Model to Predict Corporate Failure of Listed Companies in Sri Lanka. (2015). Wijekoon, Nisansala ; Azeez, Abdul A.
    In: International Journal of Business and Social Research.
    RePEc:mir:mirbus:v:5:y:2015:i:7:p:1-14.

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23. Bankruptcy prediction using terminal failure processes. (2015). du Jardin, Philippe.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:242:y:2015:i:1:p:286-303.

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24. How is credit scoring used to predict default in China?. (2015). NGUYEN, Ha Thu.
    In: EconomiX Working Papers.
    RePEc:drm:wpaper:2015-1.

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25. The value of operating cash flow in modelling credit risk for SMEs. (2014). Gregoriou, Andros ; Wilson, Nicholas ; Healy, Jerome ; Gupta, Jairaj.
    In: Applied Financial Economics.
    RePEc:taf:apfiec:v:24:y:2014:i:9:p:649-660.

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26. The Prediction Model of Bankruptcy: Evidence from the Small and Medium Enterprises (SMEs) in Thailand. (2014). Pugpaichit, Yossavadee ; Suntrauk, Phassawan .
    In: International Journal of Management Sciences.
    RePEc:rss:jnljms:v3i10p4.

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27. The modelling of forecasting the bankruptcy in Romania. (2014). Lupu, Dan ; Onofrei, Mihaela.
    In: MPRA Paper.
    RePEc:pra:mprapa:95511.

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28. Policy measures in the deleveraging process: A macroprudential evaluation. (2014). Trobec, Domen ; Bole, Velimir ; Pranikar, Janez.
    In: Journal of Policy Modeling.
    RePEc:eee:jpolmo:v:36:y:2014:i:2:p:410-432.

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29. Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution. (2014). NGUYEN, Ha Thu.
    In: EconomiX Working Papers.
    RePEc:drm:wpaper:2014-26.

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30. Forecasting New Zealand Corporate Failures 2001–10: Opportunity Lost?. (2014). Peursem, Karen ; Chan, Yi Chiann .
    In: Australian Accounting Review.
    RePEc:bla:ausact:v:24:y:2014:i:3:p:276-288.

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31. Inability of Gearing-Ratio as Predictor for Early Warning Systems. (2014). Situm, Mario.
    In: Business Systems Research.
    RePEc:bit:bsrysr:v:5:y:2014:i:2:p:23-45.

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32. ANALYSIS OF CONCEPTUAL APPROACHES FOR THE FIRM IN DIFFICULTY. (2014). Lupu, Dan.
    In: Journal of Public Administration, Finance and Law.
    RePEc:aic:jopafl:y:2014:v:5:p:110-116.

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33. Firm failure and relationship lending in an emerging economy: new evidence from small businesses. (2013). Reyes, Nidia ; Gomez-Gonzalez, Jose.
    In: Macroeconomics and Finance in Emerging Market Economies.
    RePEc:taf:macfem:v:6:y:2013:i:1:p:131-145.

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34. La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classificati. (2013). Garcia-Gallego, Ana ; Mures-Quintana, Maria-Jesus .
    In: Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration.
    RePEc:pab:rmcpee:v:15:y:2013:i:1:p:133-150.

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35. Rating or no rating? That is the question: an empirical examination of UK companies. (2012). Gonis, Eleimon ; Tucker, Jon ; Paul, Salima .
    In: The European Journal of Finance.
    RePEc:taf:eurjfi:v:18:y:2012:i:8:p:709-735.

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36. Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time. (2012). du Jardin, Philippe ; Severin, Eric .
    In: MPRA Paper.
    RePEc:pra:mprapa:39935.

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37. Bankruptcy Prediction: Dynamic Geometric Genetic Programming (DGGP) Approach. (2012). Bahiraie, Alireza ; Arshadi, Ali.
    In: Journal of Money and Economy.
    RePEc:mbr:jmonec:v:6:y:2012:i:4:p:101-132.

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38. US shipping initial public offerings: Do prospectus and market information matter?. (2012). Papapostolou, Nikos ; Grammenos, Costas Th., .
    In: Transportation Research Part E: Logistics and Transportation Review.
    RePEc:eee:transe:v:48:y:2012:i:1:p:276-295.

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39. Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time. (2012). du Jardin, Philippe ; Severin, Eric .
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:221:y:2012:i:2:p:378-396.

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40. Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model. (2011). du Jardin, Philippe ; Sverin, Eric .
    In: MPRA Paper.
    RePEc:pra:mprapa:44262.

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41. Modeling Bankruptcy Prediction for Non-Financial Firms: The Case of Pakistan. (2011). Rashid, Abdul ; Abbas, Qaisar.
    In: MPRA Paper.
    RePEc:pra:mprapa:28161.

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42. What role can mutual guarantee consortia play for financing innovation? A firm-level study for Italy. (2011). Vezzulli, Andrea ; Ughetto, Elisa .
    In: International Journal of Banking, Accounting and Finance.
    RePEc:ids:injbaf:v:3:y:2011:i:4:p:294-319.

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43. The One.Tel Collapse: Lessons for Corporate Governance. (2011). Monem, Reza.
    In: Australian Accounting Review.
    RePEc:bla:ausact:v:21:y:2011:i:4:p:340-351.

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44. Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy. (2010). du Jardin, Philippe.
    In: MPRA Paper.
    RePEc:pra:mprapa:44375.

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45. Earnings quality in ex‐post failed firms. (2009). Lara, Juan Garcia ; Neophytou, Evi ; Osma, Beatriz.
    In: Accounting and Business Research.
    RePEc:taf:acctbr:v:39:y:2009:i:2:p:119-138.

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46. Credit Risk Assessment of Corporate Sector in Croatia. (2009). Ivicic, Lana ; Cerovac, Sasa .
    In: Financial Theory and Practice.
    RePEc:ipf:finteo:v:33:y:2009:i:4:p:373-399.

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47. Default Predictors and Credit Scoring Models for Retail Banking. (2009). Vojtek, Martin ; Kočenda, Evžen ; Kocenda, Even .
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_2862.

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48. A csődelőrejelzés és a nem fizetési valószínűség számításának módszertani kérdéseiről. (2008). Kristof, Tamas .
    In: Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences).
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49. Fraudulent financial reporting detection and business failure prediction models: a comparison. (2008). Liou, Fen-May .
    In: Managerial Auditing Journal.
    RePEc:eme:majpps:v:23:y:2008:i:7:p:650-662.

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50. The identification of acquisition targets in the EU banking industry: An application of multicriteria approaches. (2007). Pasiouras, Fotios ; Zopounidis, Constantin ; Tanna, Sailesh.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:16:y:2007:i:3:p:262-281.

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51. Multicriteria decision support methodologies for auditing decisions: The case of qualified audit reports in the UK. (2007). Pasiouras, Fotios ; Gaganis, Chrysovalantis ; Zopounidis, Constantin.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:180:y:2007:i:3:p:1317-1330.

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52. Az első hazai csődmodell újraszámítása neurális hálók segítségével. (2005). Virag, Miklos ; Kristof, Tamas .
    In: Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences).
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53. A pénz mint általános csereeszköz modellezése. (2001). Megyeri, Krisztina .
    In: Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences).
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