IMPROVEMENT OF ASSESSMENT OF CREDITWORTHINESS OF INDIVIDUALS IN COMMERCIAL BANKS OF THE REPUBLIC OF UZBEKISTAN
PDF (O'zbekcha)

Keywords

credit scoring
credit history
creditworthiness
retail credit
debt burden
credit risk
credit bureau
credit portfolio
scoring model
artificial intelligence

How to Cite

Kulliev И. (2023). IMPROVEMENT OF ASSESSMENT OF CREDITWORTHINESS OF INDIVIDUALS IN COMMERCIAL BANKS OF THE REPUBLIC OF UZBEKISTAN. Economics and Education, 24(3), 124–131. https://doi.org/10.55439/ECED/vol24_iss3/a19

Abstract

This article highlights the importance of creditworthiness assessment and scoring system of individuals. The expansion of lending practices to individuals by commercial banks, minimizing the risks associated with this process and preventing the occurrence of problem loans requires improving the creditworthiness of customers. In particular, today's offering of online credit services requires process automation and creditworthiness assessment taking into account all factors.

https://doi.org/10.55439/ECED/vol24_iss3/a19
PDF (O'zbekcha)

References

Абдуллаев Н.А.( 2021) Кредит скоринги: моҳият, қўллаш механизмлари, муаммолар / Иқтисод ва молия / Экономика и финансы, 2021 йил, 3(139)

Абдуллаева Ш.З. (2017) “Кредитлашда скорингни қўллаш амалиёти” “Халқаро молия ва ҳисоб” илмий электрон журнали. 2017 йил, №1, феврал.

Тошпўлатов Д.А. (2021) Банкларда кредит рискларни скоринг рейтинг тизими орқали баҳолаш / Иқтисодиёт ва таълим / 2021 йил, 5-сон.

Ahmet Burak Emel, Muhittin Oral, Arnold Reisman, Reha Yolalan (2003) A credit scoring approach for the commercial banking sector / https://doi.org/10.1016/S0038-0121(02)00044-7

Barefoot, Ann, and Christine Walika. (1996) Credit Scoring at a Crossroads: Privacy, Access, and Fairness Concerns Can Be Successfully Addressed. ABA Banking Journal 88: 26.

Blöchlinge, Andreas, and Markus Leippold. 2006. Economic benefit of powerful credit scoring. Journal of Banking & Finance 30: 851–73.

Caplinsk, Alina, and Manuela Tvaronaviciene (2020) Creditworthiness Place in Credit Theory and Methods. Enterpreneurship and Sustainability Issues 7: 2542–555.

Fensterstock, Albert (2005) Credit scoring and the next step. Business Credit 107: 46–49.

Fu, Guanghong, Minjuan Sun, and Qing Xu. (2020) An Alternative Credit Scoring System in China’s Consumer Lending Market:A System Based on Digital Footprint Data. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3638710 (accessed on 25 June 2021).

Giannopoulos, Vasileios. (2018) The Effectiveness of Artificial Credit Scoring Models in Predicting NPLs using Micro Accounting Data. Journal of Accounting & Marketing 7: 303.

Kerage, Peter, and Ambrose Jagongo. (2014) Credit Information Sharing and Performance of Commercial Banks in Kenya. Global Journal of Commerce & Management Perspective 3: 18–23.

Koh, Hian C.,Wei Chin Tan, and Chwee Peng Goh. (2006) A Two-step Method to Construct Credit Scoring Models with Data Mining Techniques. The International Journal of Business and Information 1: 96–118.

Ponicki, Chuck. (1996) Case Study: Improving the Efficiency of Small-Business Lending at First National Bank of Chicago. Commercial Lending Review 51: 51–60.

Xiao-Lin Li, Yu Zhong (2012) An Overview of Personal Credit Scoring: Techniques and Future Work / International Journal of Intelligence Science Vol.2 No.4A(2012), Article ID:24193,9 pages DOI:10.4236/ijis.2012.224024

Wu Y, Xie Z, Ji S, Liu Z, Zhang X, Lin C, Deng S, Zhou J, Wang T and Beyah R (2023). Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study, IEEE Transactions on Dependable and Secure Computing, 20:2, (1169-1185), Online publication date: 1-Mar-2023.

“Кредит ахборот таҳлилий маркази” (КАТМ) кредит бюроси интернет саҳифаси маълумотлари – https://infokredit.uz/uz/about/scoring

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2023 Economics and education