Modern Technologies and Modern Scoring in Modern Uzbekistan: Tasks, Methodologies, Problems
DOI:
https://doi.org/10.51699/ajdes.v18i.532Keywords:
credit scoring, scoring systems, scoring model, scoring methods, scoring tasks, problems of scoring systemsAbstract
The article discusses the issue of the need to modernize credit risk management tools in the framework of modern digitalization of the economy and the introduction of innovative approaches to solving problems related to financial and banking services using the example of the banking system of modern Uzbekistan. Today, the functions implemented by the banking system require the introduction and use of modern innovative financial technologies, which is especially important for developing economies. Today, in Uzbekistan, the level of development of the banking system, the focus of the country, business and the population on the active use of financial innovations have created a peculiar picture of the use of credit scoring models in risk assessment.
The author of the article mainly analyzes the state of the applied credit scoring systems and predicts further development and improvement of the mechanisms for applying scoring models against the backdrop of the latest intellectual analytics technologies and proposes proposals for increasing the level of capitalization, profitability and competitiveness of the subjects of the banking system. As a recommendation, it is proposed to actively introduce artificial intelligence and “Data mining” technologies as a means of managing credit risks in the very near future.
References
Abdullaev N.A. Scoring models as a means of improving the quality of risk management // Bulletin of the Kyrgyz National University. Zhusup Balasagyn, 2021. No. 1 (105). pp.129-137.
Barseghyan A.A., Kupriyanov M.S., Stepanenko V.V., Kholod I.I. Data analysis technologies. “Data mining”, Visual Mining, Text Mining, OLAP // St. Petersburg: BHV-Petersburg. 2007. 384 p.
Golubev A. A. Finance and Credit: Proc. Manual / A. A. Golubev, N. P. Gavrilov, - St. Petersburg: St. Petersburg GUITMO, 2006. - 95 p.
Gorelay N.V. Assessment of the borrower's creditworthiness in the system of credit risk regulation [Text] / N.V. Burnt // Risk management. ‒ 2005. ‒ No. 6.
Kalapodas E., Thomson M.E. Credit risk assessment: a challenge for financial institutions // IMA Journal Management Mathematics. 2006. №1. С. 25-46.
Karimov N.G., Tashkhodzhaev M.M. Opportunities for the development of the scoring method of consumer lending in Uzbekistan / European journal of economics and management sciences, Section 8. Finance, money circulation and credit. / 2016, 4,
How to assess the quality of an application without a credit history check. All about "Cube Scoring" service. URL: https://xn-- 80aenjpiedz.xn--p1ai/mfo/poleznye-servisy/kak-otsenit-kachestvo-zayavki.php (date of the application: 22.03.2022).
Makovetsky M.Yu. Methods for assessing the borrower's creditworthiness // Proceedings of the Penza State Pedagogical University. V.G. Belinsky. 2008. No. 11. pp.58-60.
Mitrofanova K. B. The concept of credit risk and factors affecting it / K. B. Mitrofanova // Young scientist. - 2015. - No. 2. - p. 284–288.
Official site of Analytical agency SCORISTA. URL: https://scorista.ru/about/scorista (date of the application: 22.03.2022)
Ten VV Problems of analysis of the creditworthiness of the borrower / VV Ten //Banking. - 2006. - No. 3. - p. 49–51.
Khrestinin V.V. Evaluation of the sectoral component within the framework of a comprehensive analysis of the creditworthiness of a potential borrower [Text]: abstract of the thesis of a candidate of economic sciences / V.V. Khrestinin. - M., 2007. - р. 12.
Cherkashenko V.N. This “mysterious” scoring [Text] / V.N. Cherkashenko // Banking. ‒ 2006. ‒ No. 3. ‒ P. 42-48.
Central Bank of the Republic of Uzbekistan. URL: https://cbu.uz/ru/statistics/bankstats/452067/ (date of the application: 06.02.2022).
