Bankruptcy prediction using machine learning methods

Authors

  • Ardan Dorzhiev Financial University under the Government of the Russian Federation

Keywords:

bankruptcy prediction, Z-score, discriminant analysis, machine learning, neural networks, random forest, support vector machine

Abstract

Bankruptcy prediction models are important to many stakeholders starting from associates up to shareholders, creditors and partners. The article contains an overview of both traditional statistic prediction methods and modern ones with the use of machine learning.

About author

Ardan Dorzhiev

Financial University under the Government of the Russian Federation

Department of Information Technologies and Big Data Analysis
Master’s degree student

Информационное общество, 2021, выпуск 1

Published

28.02.2021

How to Cite

Dorzhiev, A. (2021). Bankruptcy prediction using machine learning methods. Information Society, (1), 56-67. Retrieved from http://infosoc.iis.ru/article/view/509

Issue

No. 1 (2021): Numeral quaque janua panditur

Section

Information society technologies

Copyright (c) 2021 Ардан Саянович Доржиев

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.