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Applied Economics Letters Volume 17, 2010 - Issue 17
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Original Articles

Bankruptcy prediction in Norway: a comparison study

Rada Dakovic Center for Mathematics, University of Technology Munich, Garching bei Munich, GermanyCorrespondence[email protected]
,
Claudia Czado Center for Mathematics, University of Technology Munich, Garching bei Munich, Germany
&
Daniel Berg University of Oslo and Norwegian Computing Center, Oslo, Norway
Pages 1739-1746 | Published online: 24 Mar 2010

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İbrahim Bozkurt & Muhammed Veysel Kaya. (2023) Foremost features affecting financial distress and Bankruptcy in the acute stage of COVID-19 crisis. Applied Economics Letters 30:8, pages 1112-1123.
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Hyeongjun Kim, Hoon Cho & Doojin Ryu. (2021) Predicting corporate defaults using machine learning with geometric-lag variables. Investment Analysts Journal 50:3, pages 161-175.
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Articles from other publishers (23)

Christian Lohmann, Steffen Möllenhoff & Thorsten Ohliger. (2022) Nonlinear relationships in bankruptcy prediction and their effect on the profitability of bankruptcy prediction models. Journal of Business Economics 93:9, pages 1661-1690.
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Zhengfang Ni, Minghui Jiang & Wentao Zhan. (2023) Default Prediction with Industry-Specific Default Heterogeneity Indicators Based on the Forward Intensity Model. Axioms 12:4, pages 402.
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Bhushan Pardeshi. (2022) Logistic Regression Analysis for Prediction of Financial Failure: Evidence from Central Public Sector Enterprises in India. Vision: The Journal of Business Perspective, pages 097226292211352.
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Simone Poledrini, Elizabeth A. M. Searing & Alessandro Montrone. (2022) A Model for Directing and Modulating Public Interventions in Social Enterprises. Nonprofit Policy Forum 13:4, pages 307-332.
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Elena Fedorova, Svetlana Ledyaeva, Pavel Drogovoz & Alexandr Nevredinov. (2022) Economic policy uncertainty and bankruptcy filings. International Review of Financial Analysis 82, pages 102174.
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Hyeongjun Kim, Hoon Cho & Doojin Ryu. (2021) Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data. Computational Economics 59:3, pages 1231-1249.
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Mariluz Mate‐Sánchez‐Val. (2020) The impact of geographical positioning on agri‐food businesses' failure considering nonlinearities. Agribusiness 37:3, pages 612-628.
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FENGSHENG CHIEN, ABDURRAHMAN ADAMU PANTAMEE, MUHAMMED SAJJAD HUSSAIN, SUPAT CHUPRADIT, MUHAMMAD ATIF NAWAZ & MUHAMMAD MOHSIN. (2021) NEXUS BETWEEN FINANCIAL INNOVATION AND BANKRUPTCY: EVIDENCE FROM INFORMATION, COMMUNICATION AND TECHNOLOGY (ICT) SECTOR. The Singapore Economic Review, pages 1-22.
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Hyeongjun Kim, Hoon Cho & Doojin Ryu. (2020) Corporate Default Predictions Using Machine Learning: Literature Review. Sustainability 12:16, pages 6325.
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Nicoleta Bărbuță-Mișu & Mara Madaleno. (2020) Assessment of Bankruptcy Risk of Large Companies: European Countries Evolution Analysis. Journal of Risk and Financial Management 13:3, pages 58.
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Christian Lohmann & Thorsten Ohliger. (2019) Bankruptcy prediction and the discriminatory power of annual reports: empirical evidence from financially distressed German companies. Journal of Business Economics 90:1, pages 137-172.
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Christian Lohmann & Thorsten Ohliger. (2019) Using accounting‐based information on young firms to predict bankruptcy. Journal of Forecasting 38:8, pages 803-819.
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Viani Biatat Djeundje & Jonathan Crook. (2019) Identifying hidden patterns in credit risk survival data using Generalised Additive Models. European Journal of Operational Research 277:1, pages 366-376.
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Christian Lohmann & Thorsten Ohliger. (2019) The total cost of misclassification in credit scoring: A comparison of generalized linear models and generalized additive models. Journal of Forecasting 38:5, pages 375-389.
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Tamás Nyitrai. (2019) Dynamization of bankruptcy models via indicator variables. Benchmarking: An International Journal 26:1, pages 317-332.
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Christian Lohmann & Thorsten Ohliger. (2017) Nonlinear Relationships and Their Effect on the Bankruptcy Prediction. Schmalenbach Business Review 18:3, pages 261-287.
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Ning Chen, An Chen & Bernardete Ribeiro. (2016) Towards tangible benefits of corporate failure prediction with business sector: A comparative study. Intelligent Decision Technologies 10:4, pages 431-442.
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Philippe du Jardin. (2015) Bankruptcy prediction using terminal failure processes. European Journal of Operational Research 242:1, pages 286-303.
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Paolo Giordani, Tor Jacobson, Erik von Schedvin & Mattias Villani. (2015) Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios. Journal of Financial and Quantitative Analysis 49:4, pages 1071-1099.
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Alessandra Amendola, Marialuisa Restaino & Luca Sensini. 2014. Mathematical and Statistical Methods for Actuarial Sciences and Finance. Mathematical and Statistical Methods for Actuarial Sciences and Finance 13 25 .
Martin Kukuk & Michael R?nnberg. (2012) Corporate credit default models: a mixed logit approach. Review of Quantitative Finance and Accounting 40:3, pages 467-483.
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Aurelija Mažintienė & Daiva Burkšaitienė. (2012) The Need of Bankruptcy Prediction in the Company. The Need of Bankruptcy Prediction in the Company.
Edward I. Altman, Malgorzata Iwanicz-Drozdowska, Erkki K. Laitinen & Arto Suvas. (2015) Financial and Non-Financial Variables as Long-Horizon Predictors of Bankruptcy. SSRN Electronic Journal.
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