Том 6, випуск 1

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Application of the Scoring Approach to Monitoring Function of Central Bank Credit Registry
(2021) Filatov, Vladyslav; Kaminsky, Аndriy
The Central Bank Credit Registry was established in Ukraine in 2018. The two key functions which are fulfilled by Credit Register are monitoring and credit information sharing. This paper is devoted to applying a scoring approach for monitoring function realization in segments of individuals. The logic of using scoring tools to monitoring is based on an objective to create an effective form which reflects the dynamic of the above-mentioned segment. Data mining procedures for Credit Registry were realized and most significant characteristics were chosen. Correlation analysis for characteristics was applied. Different approaches to construct scoring for monitoring functions were analyzed. Namely, logistic regression, Machine Learning, method grounded on tree created by the XGBoost algorithm. Last method demonstrated the best efficiency for scoring construction and can be developed for implementation. The views expressed are those of the authors and do not necessarily reflect those of the National Bank of Ukraine.