1. A dynamic performance evaluation of distress prediction models. (2023). Tone, Kaoru ; Ouenniche, Jamal ; Mousavi, Mohammad Mahdi.
   In: Journal of Forecasting.
   RePEc:wly:jforec:v:42:y:2023:i:4:p:756-784.

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2. A New Perspective on Financial Risk Prediction in a Carbon-Neutral Environment: A Comprehensive Comparative Study Based on the SSA-LSTM Model. (2023). Huang, Dechun ; Wang, Zaoxian.
   In: Sustainability.
   RePEc:gam:jsusta:v:15:y:2023:i:19:p:14649-:d:1256291.

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3. Performance of Slovenian Listed Firms during COVID-19 Out-break. (2023). Kramaric, Tomislava Pavic.
   In: International Journal of Economic Sciences.
   RePEc:aop:jijoes:v:12:y:2023:i:1:p:163-177.

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4. Determinants of Default Probability for Audited and Unaudited SMEs Under Stressed Conditions in Zimbabwe. (2022). Sibanda, Mabutho ; Matenda, Frank Ranganai.
   In: Economies.
   RePEc:gam:jecomi:v:10:y:2022:i:11:p:274-:d:963571.

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5. Creditworthiness Assessment for Credit Institutions and for the Risk Associated with Excessive Leverage toward Sustainable Performance. (2021). SERBU, Razvan ; Baranga, Laurentiu Paul ; Petru, Ovidiu Gheorghe.
   In: Sustainability.
   RePEc:gam:jsusta:v:13:y:2021:i:21:p:11574-:d:660350.

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6. The Role of Board Independence and Ownership Structure in Improving the Efficacy of Corporate Financial Distress Prediction Model: Evidence from India. (2021). Vincent, Theresa Nithila ; Shetty, Shilpa H.
   In: JRFM.
   RePEc:gam:jjrfmx:v:14:y:2021:i:7:p:333-:d:596701.

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7. Predicting Firms’ Financial Distress: An Empirical Analysis Using the F-Score Model. (2021). Kaium, Md Abdul ; Li, Cheong ; Rahman, Mahfuzur.
   In: JRFM.
   RePEc:gam:jjrfmx:v:14:y:2021:i:5:p:199-:d:547608.

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9. Assessment of Trajectories of Non-bankrupt and Bankrupt Enterprises. (2020). Korol, Tomasz.
   In: European Research Studies Journal.
   RePEc:ers:journl:v:xxiii:y:2020:i:4:p:1113-1135.

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10. Estimating probabilities of default of different firms and the statistical tests. (2019). Qadir, Shahid ; Anuradha, N ; Dar, Amir Ahmad.
    In: Journal of Global Entrepreneurship Research.
    RePEc:spr:jglont:v:9:y:2019:i:1:d:10.1186_s40497-019-0152-8.

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11. WHAT DETERMINES FINANCIAL SOUNDNESS OF CROATIAN LISTED FIRMS?. (2019). Plazibat, Boze ; Kramaric, Tomislava Pavic ; Miletic, Marko.
    In: UTMS Journal of Economics.
    RePEc:ris:utmsje:0273.

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12. Dynamic Bankruptcy Prediction Models for European Enterprises. (2019). Korol, Tomasz.
    In: JRFM.
    RePEc:gam:jjrfmx:v:12:y:2019:i:4:p:185-:d:295688.

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13. The Implementation of Fuzzy Logic in Forecasting Financial Ratios. (2018). Korol, Tomasz.
    In: Contemporary Economics.
    RePEc:wyz:journl:id:534.

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14. Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions. (2018). Ouenniche, Jamal ; Mousavi, Mohammad Mahdi.
    In: Annals of Operations Research.
    RePEc:spr:annopr:v:271:y:2018:i:2:d:10.1007_s10479-018-2814-2.

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15. Determinants of Corporate Failure: The Case of the Johannesburg Stock Exchange. (2018). Mabe, Queen Magadi ; Lin, Wei.
    In: MPRA Paper.
    RePEc:pra:mprapa:88485.

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16. 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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17. Assessing the Credit Risk of Corporate Bonds Based on Factor Analysis and Logistic Regress Analysis Techniques: Evidence from New Energy Enterprises in China. (2018). Yunli, Feng ; Liu, Yuanxin ; Zhou, Dong ; Yuan, Jiahai.
    In: Sustainability.
    RePEc:gam:jsusta:v:10:y:2018:i:5:p:1457-:d:145006.

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18. Determinants of the probability of default: the case of the internationally listed shipping corporations. (2017). Lozinskaia, Agata ; Penikas, Henry ; Merika, Anna ; Merikas, Andreas.
    In: Maritime Policy & Management.
    RePEc:taf:marpmg:v:44:y:2017:i:7:p:837-858.

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19. Default Prediction Using Piotroski’s F-score. (2015). .
    In: Global Business Review.
    RePEc:sae:globus:v:16:y:2015:i:5_suppl:p:175s-186s.

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20. Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework. (2015). Xu, Bing ; Mousavi, Mohammad M ; Ouenniche, Jamal.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:42:y:2015:i:c:p:64-75.

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21. Analysing social attributes of loan default among small Indian Dairy farms: A discriminating approach. (2014). Mondal, B. ; Sinha, Mukesh Kumar ; Dhaka, J. P..
    In: MPRA Paper.
    RePEc:pra:mprapa:53362.

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22. MODELING CREDIT RISK THROUGH CREDIT SCORING. (2014). Calin, Adrian Cantemir.
    In: Internal Auditing and Risk Management.
    RePEc:ath:journl:tome:34:v:2:y:2014:i:34:p:99-109.

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23. Predicting risk of credit default using discriminant aproach:A study of tribal dairy darmers from Jharkhand. (2013). JP, Dhaka ; MK, Sinha, .
    In: MPRA Paper.
    RePEc:pra:mprapa:54158.

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24. Early warning models against bankruptcy risk for Central European and Latin American enterprises. (2013). Korol, Tomasz .
    In: Economic Modelling.
    RePEc:eee:ecmode:v:31:y:2013:i:c:p:22-30.

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25. Bankruptcy and institutions. (2012). Alexeev, Michael ; Kim, Jounghyeon.
    In: Economics Letters.
    RePEc:eee:ecolet:v:117:y:2012:i:3:p:676-678.

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26. 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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