A computer model for analyzing, evaluating, and forecasting bank credit risks has been developed. Utilizing a Bayesian network (BN) and established parameter estimation methods, this model was implemented in the Python programming language. It predicts the probability that a borrower may fail to meet financial obligations, such as repaying a loan.
- Ptak-Chmielewska A., Kopciuszewski P. New Definition of Default–Recalibration of Credit Risk Models Using Bayesian Approach. Risks. 10 (1), 16 (2022).
- Masmoudi K., Abid L., Masmoudi A. Credit risk modeling using Bayesian network with a latent variable. Expert Systems with Applications. 127, 157–166 (2019).
- Baesens B., Rösch D., Scheule H. Bayesian Methods for Credit Risk Modeling. In: Credit Risk Analytics (eds B. Baesens, D. Rösch and H. Scheule), (2017).
- Leong C. K. Credit Risk Scoring with Bayesian Network Models. Computational Economics. 47 (3), 423–446 (2016).
- Lu J., Wu D., Dong J., Dolgui A. A decision support method for credit risk based on the dynamic Bayesian network. Industrial Management & Data Systems. 123 (12), 3053–3079 (2023).
- Kashmoola M. A., Aziz S. F., Qays H. M., Alsaleem N. Y. A. Unbalanced credit fraud modeling based on bagging and bayesian optimization. Eastern-European Journal of Enterprise Technologies. 3 (4 (123)), 47–53 (2023).
- Gmehling P., La Mura P. A Bayesian inference model for the credit rating scale. Journal of Risk Finance. 17 (4), 390–404 (2016).
- Tham A. W., Kakamu K., Liu S. Bayesian Statistics for Loan Default. Journal of Risk and Financial Management. 16 (3), 203 (2023).
- Wu J., Gao X. Quantification of Debt Default Based on Bayesian Model Averaging. ICBDT '23: Proceedings of the 2023 6th International Conference on Big Data Technologies. 86–95 (2023).
- Senyk A., Manziy O., Futryk Y., Stepanyuk O., Senyk Y. Information system supporting decision-making processes for forming of securities portfolio. Journal of Lviv Polytechnic National University "Information systems and networks". 11, 39–55 (2022).
- Sverstiuk A., Dubynyak T., Manziy O., Senyk A., Ohloblin P. Bayesian click model and methods of estimating its parameters. CEUR Workshop Proceedings. 3628, 389–403 (2023).
- Dubyniak T. S., Manziy O., Gancarczyk T., Senyk A., Futryk Y. Specialized information system for support of the process of recruiting securities. CEUR Workshop Proceedings. 3468, 117–125 (2023).
- Arosio M., Martina M. The use of Graph Theory to improve disaster risk assessment. Geophysical Research Abstracts. 20, EGU2018-18451 (2018).
- Shivraj V. L., Rajan M. A., Balamuralidhar P. A graph theory based generic risk assessment framework for internet of things (IoT). 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). 1–6 (2017).
- Bahar A. Y., Shorman S. M., Khder M. A., Quadir A. M., Almosawi S. A. Survey on Features and Comparisons of Programming Languages (PYTHON, JAVA, AND C#). 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS). 154–163 (2022).