Bankruptcy prediction with explainable machine learning methods – Ing. Munkhnaran Tsogoo
Ing. Munkhnaran Tsogoo
Master's thesis
Bankruptcy prediction with explainable machine learning methods
Bankruptcy prediction with explainable machine learning methods
Abstract:
The bankruptcy prediction model has been studied rapidly over the last few decades, and the methods used are becoming more sophisticated. As artificial intelligence and machine learning methods have evolved, using these methods in the bankruptcy prediction model has led to a higher prediction accuracy of default. Although highly predictable, machine learning methods to the use of the model in business …moreAbstract:
The bankruptcy prediction model has been studied rapidly over the last few decades, and the methods used are becoming more sophisticated. As artificial intelligence and machine learning methods have evolved, using these methods in the bankruptcy prediction model has led to a higher prediction accuracy of default. Although highly predictable, machine learning methods to the use of the model in business …more
Language used: English
Date on which the thesis was submitted / produced: 14. 5. 2021
Identifier:
https://is.muni.cz/th/b0zn2/
Thesis defence
- Date of defence: 24. 6. 2021
- Supervisor: Ph.D. Oleg Deev
- Reader: Mgr. Zuzana Rakovská, Ph.D.
Citation record
ISO 690-compliant citation record:
TSOGOO, Munkhnaran. \textit{Bankruptcy prediction with explainable machine learning methods}. Online. Master's thesis. Brno: Masaryk University, Faculty of Economics and Administration. 2021. Available from: https://theses.cz/id/wuvyqx/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Ekonomicko-správní fakultaMasaryk University
Faculty of Economics and AdministrationMaster programme / field:
Finance / Finance
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