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A comprehensive review of corporate bankruptcy prediction in Hungary

Kristóf, Tamás; Virág, Miklós - In: Journal of Risk and Financial Management 13 (2020) 2, pp. 1-20

classification method(s) to accomplish efficient corporate bankruptcy prediction. …

Persistent link: https://www.econbiz.de/10012611249

Privacy preservation in data mining using hybrid perturbation methods: an application to bankruptcy prediction in banks

Ramu, Kunta; Ravi, V. - In: International Journal of Data Analysis Techniques and … 1 (2009) 4, pp. 313-331

hybridisation of the random projection and random rotation methods for privacy-preserving classification. The hybrid method is …

Persistent link: https://www.econbiz.de/10005048917

Privacy preservation in data mining using hybrid perturbation methods: an application to bankruptcy prediction in banks

Ramu, Kunta; Ravi, V. - In: International Journal of Data Analysis Techniques and … 1 (2009) 4, pp. 313-331

hybridisation of the random projection and random rotation methods for privacy-preserving classification. The hybrid method is …

Persistent link: https://www.econbiz.de/10008539626

Data reduction and univariate splitting — Do they together provide better corporate bankruptcy prediction?

Kristóf, Tamás; Virág, Miklós - In: Acta Oeconomica 62 (2012) June, pp. 205-228

Discussion on methodological problems of corporate survival and solvency prediction is enjoying a renaissance in the era of financial and economic crisis. Within the framework of this article, the most frequently applied bankruptcy prediction methods are competed on a Hungarian corporate...

Persistent link: https://www.econbiz.de/10010822327

Application of support vector machines on the basis of the first Hungarian bankruptcy model

Virag, Miklós; Nyitrai, Tamás - In: Society and Economy 35 (2013) August, pp. 227-248

use of classification accuracy and the area under the ROC curve. In using the SVM technique, in addition to conventional … significant improvement of classification accuracy can be achieved on the database of the first Hungarian bankruptcy model when …

Persistent link: https://www.econbiz.de/10010822406

Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance : a comparative study

Boughaci, Dalila; Alkhawaldeh, Abdullah A. K. - In: Risk and decision analysis 8 (2020) 1/2, pp. 15-24

Persistent link: https://www.econbiz.de/10012431731

A comprehensive review of corporate bankruptcy prediction in Hungary

Kristóf, Tamás; Virág, Miklós - In: Journal of risk and financial management : JRFM 13 (2020) 2/35, pp. 1-20

classification method(s) to accomplish efficient corporate bankruptcy prediction. …

Persistent link: https://www.econbiz.de/10012173722

Dimension reduction in bankruptcy prediction : a case study of North American companies

Nguyen, Son; Golas, Edward; Zywiak, William; Kennedy, … - In: Advances in business and management forecasting 13 (2019), pp. 83-92

Persistent link: https://www.econbiz.de/10012154894

Grabit : gradient tree-boosted Tobit models for default prediction

Sigrist, Fabio; Hirnschall, Christoph - In: Journal of banking & finance 102 (2019), pp. 177-192

Persistent link: https://www.econbiz.de/10012162742

A new approach to deal with variable selection in neural networks : an application to bankruptcy prediction

Abid, Ilyes; Ayadi, Rim; Guesmi, Khaled; Mkaouar, Farid - In: Risk management decisions and value under uncertainty, (pp. 605-623). 2022

Persistent link: https://www.econbiz.de/10013341961