Default Prediction for Russian Food Service Firms: Contribution of Non-Financial Factors and Machine Learning
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DOI: https://doi.org/10.15826/vestnik.2024.23.1.009
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- Hunter, John & Isachenkova, Natalia, 2001. "Failure risk: A comparative study of UK and Russian firms," Journal of Policy Modeling, Elsevier, vol. 23(5), pages 511-521, July.
- Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
- Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
- Yuetong Zhao & Deqin Lin, 2023. "Prediction of Micro- and Small-Sized Enterprise Default Risk Based on a Logistic Model: Evidence from a Bank of China," Sustainability, MDPI, vol. 15(5), pages 1-13, February.
- Edward I. Altman & Gabriele Sabato, 2013.
"MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET,"
World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279,
World Scientific Publishing Co. Pte. Ltd..
- Edward I. Altman & Gabriele Sabato, 2007. "Modelling Credit Risk for SMEs: Evidence from the U.S. Market," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 332-357, September.
- Jayasuriya Mahapatabendige Ruwani Fernando & Leon Li & Greg Hou, 2020. "Financial versus Non-Financial Information for Default Prediction: Evidence from Sri Lanka and the USA," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(3), pages 673-692, February.
- Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
- Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
- L. Lin & J. Piesse, 2004. "Identification of corporate distress in UK industrials: a conditional probability analysis approach," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 73-82.
- 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.
- Vladislav V. Afanasev & Yulia A. Tarasova, 2022. "Default Prediction for Housing and Utilities Management Firms Using Non-Financial Data," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 91-110, December.
- Chi Xie & Changqing Luo & Xiang Yu, 2011. "Financial distress prediction based on SVM and MDA methods: the case of Chinese listed companies," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 671-686, April.
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
- Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
- Boubaker, Sabri & Cellier, Alexis & Manita, Riadh & Saeed, Asif, 2020. "Does corporate social responsibility reduce financial distress risk?," Economic Modelling, Elsevier, vol. 91(C), pages 835-851.
- Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03380580, HAL.
- Alnoor Bhimani & Mohamed Azzim Gulamhussen & Samuel da Rocha Lopes, 2013. "The Role of Financial, Macroeconomic, and Non-financial Information in Bank Loan Default Timing Prediction," European Accounting Review, Taylor & Francis Journals, vol. 22(4), pages 739-763, December.
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More about this item
Keywords
default prediction; food service; non-financial factors; Machine Learning.;All these keywords.
JEL classification:
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
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