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Failure risk: A comparative study of UK and Russian firms

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  • Hunter, John
  • Isachenkova, Natalia

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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.
    • Handle: RePEc:eee:jpolmo:v:23:y:2001:i:5:p:511-521
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    References listed on IDEAS

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    1. Schaffer, Mark E., 1998. "Do Firms in Transition Economies Have Soft Budget Constraints? A Reconsideration of Concepts and Evidence," Journal of Comparative Economics, Elsevier, vol. 26(1), pages 80-103, March.
    2. Peel, MJ & Peel, DA & Pope, PF, 1986. "Predicting corporate failure-- Some results for the UK corporate sector," Omega, Elsevier, vol. 14(1), pages 5-12.
    3. Nicholas Wilson & Kwee Chong & Michael Peel & A. N. Kolmogorov, 1995. "Neural Network Simulation and the Prediction of Corporate Outcomes: Some Empirical Findings," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 2(1), pages 31-50.
    4. Hamer, Michelle M., 1983. "Failure prediction: Sensitivity of classification accuracy to alternative statistical methods and variable sets," Journal of Accounting and Public Policy, Elsevier, vol. 2(4), pages 289-307.
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    1. Hunter, John & Isachenkova, Natalia, 2006. "Aggregate economy risk and company failure: An examination of UK quoted firms in the early 1990s," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 911-919, November.
    2. Julia A. Tarasova & Ekaterina S. Fevraleva, 2021. "Forecasting of Bankruptcy: Evidence from Insurance Companies in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 4, pages 75-90, August.
    3. Iskandar, Azwar, 2015. "Model Prediksi Financial Distress Dengan Binary Logit (Studi Kasus Emiten Jakarta Islamic Index) [Application of Binary Logit Regression on Financial Distress Prediction of Jakarta Islamic Index]," MPRA Paper 82694, University Library of Munich, Germany.
    4. Alessandra Amendola & Marialuisa Restaino & Luca Sensini, 2013. "Corporate Financial Distress And Bankruptcy: A Comparative Analysis In France, Italy And Spain," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 1(2), pages 131-142, November.
    5. 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.
    6. Egor O. Bukharin & Sofia I. Mangileva & Vladislav V. Afanasev, 2024. "Default Prediction for Russian Food Service Firms: Contribution of Non-Financial Factors and Machine Learning," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(1), pages 206-226.
    7. Marek Gruszczynski, 2004. "Financial distress of companies in Poland," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 10(4), pages 249-256, November.
    8. Hunter, John & Wu, Feng, 2014. "Multifactor consumption based asset pricing models using the US stock market as a reference: Evidence from a panel of developed economies," Economic Modelling, Elsevier, vol. 36(C), pages 557-565.
    9. Philippe Jardin, 2021. "Forecasting bankruptcy using biclustering and neural network-based ensembles," Annals of Operations Research, Springer, vol. 299(1), pages 531-566, April.
    10. Chakraborty, Indrani, 2013. "Does capital structure depend on group affiliation? An analysis of Indian firms," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 110-120.
    11. Pasaribu, Rowland Bismark Fernando, 2008. "Penggunaan Binary Logit untuk Prediksi Financial Distress Perusahaan Yang Tercatat Di Bursa Efek Jakarta [Financial Distress Prediction In Indonesian Stock Exchange]," MPRA Paper 36980, University Library of Munich, Germany.
    12. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).

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