FEATURES OF DATA SOURCES SELECTION FOR CREDIT RISK ASSESSMENT IN MICROFINANCE ORGANIZATIONS

UDC 51.77
DOI: 10.36871/2618-9976.2023.10-2.006

Authors

Alexander S. Sorokin,
Ph.D., Associate Professor of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia

Abstract

The article emphasizes an insufficient development of this topic and a lack of a systematic classification of data sources in the scientific literature, which confirms the novelty of this study. An overview of various sources of information resources in credit scoring is provided. Based on the analysis of the data market in Russia, the author's practical experience and available information in scientific literature, a classification of data sources for assessing credit risks according to various criteria is proposed.

Keywords

Credit scoring, Credit risk, Risk analytics, MFIs, Data sources, Data classification