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BANK LENDING IN CONDITIONS OF GLOBAL FINANCIAL INSTABILITY: THE CASE OF KAZAKHSTAN

https://doi.org/10.52821/2789-4401-2024-4-122-133

Abstract

Purpose of the study. The purpose of the scientific article is to consider the importance and features of the application of the main technologies of the lending process in domestic second-tier banks in the conditions of instability and uncertainty of modern world financial and economic relations.

Methodology. In the course of the study, general scientific methods, literature review, analysis, synthesis, deduction, classification, systematic approaches are used.

Originality / value of the study. The banking system of the Republic of Kazakhstan, according to European and international experts, is recognized as the most developed banking system among the CIS countries. Indeed, in recent years, strong changes have been observed in the banking system of the Republic of Kazakhstan; international standards have been introduced into the banking system, such important institutions as mandatory guarantee reserves for deposits and mortgage lending have been created; Otbasy Bank; processing center; credit bureau services have been organized.

This article discusses the features of the technology of the bank lending process, which allows us to improve banking services in all areas, providing the most convenient and attractive services for customers through modern lending technology.

Results of the study. The directions of application of technological mechanisms of the lending process, which allow us to speed up the provision of banking services, simultaneously serve several clients, and achieve high efficiency, were considered.

About the Authors

R. U. Gulimbetova
Eurasian Technological University
Kazakhstan

Almaty



N. S. Nurkasheva
Narxoz University
Kazakhstan

Almaty



M. D. Zhumabayeva
Almaty Management University
Kazakhstan

Almaty



References

1. Aubakirov, F. M., & Berikuly, K. (2022). Geosayasi faktorlardyn Kazakstan ekonomikasyna aaaserі. Habarshy [Elektrondy maқala]. Retrieved March 2, 2024, from https://vestnik.semuniver.kz/index.php/main/article/view/486/464 (in kazakh)

2. Liholetov, V. V., Pluzhnikov, V. G., & Komarova, E. V. (2005). Innovacionnyj menedzhment. Uchebnoeposobie. Chelyabinsk: Izd-vo YUUrGU. p. 115. ISSN 2789-4398

3. Rajzberg, B. A., Lozovskij, L. Sh., & Starodubceva, E. B. (2007). Sovremennyj ekonomicheskij slovar'.Moscow: INFRA-M. p. 343.

4. Rossijskaya sociologicheskaya enciklopediya (G. V. Osipova, Ed.). (1998). Moscow: Izdatel'stvo gruppaNORMA - INFRA-M. 574 p.

5. Ozhegov, S. I. (2006). Tolkovyj slovar' russkogo yazyka. Moscow: ITI Tekhnologii. 567 p.

6. Gelbrejt, Dzh. (1976). Ekonomicheskie teorii i celi obshchestva. Moscow. 67 p.

7. Babinceva, N. S. (1990). Principial'nye izmeneniya v obshchestvennom razdelenii truda v hode PTR iih proyavleniya v kapitalisticheskoj ekonomike. Opyt organizacii kapitalisticheskogo proizvodstva i razvitie socialisticheskoj ekonomiki. Uchenye zapiski (pp. 22). Leningrad.

8. Rakitov, A. I. (1991). Filosofi ya komp'yuternoj revolyucii. Moscow. 77 p.

9. Hejnman, S. A. (1977). Nauchno-tekhnicheskaya revolyuciya segodnya i zavtra. Moscow: Politizdat. 193 p.

10. Den'gi, kredit, banki: Uchebnik (O. I. Lavrushin, Ed.). (2000). (2nd ed.). Moscow: Finansy i statistika.209 p.

11. Turbanov, A., & Tyutyunnik, A. (2010). Bankovskoe delo: operacii, tekhnologii, upravlenie. In A.Turbanov & A. Tyutyunnik (pp. 78-80). Moscow: Al'pina Pablisher.

12. Tavasiev, A. M., Bychkov, V. P., & Moskvin, V. A. (2005). Bankovskoe delo: bazovye operacii dlyaklientov: Ucheb. posobie. (A. M. Tavasiev, Ed.). Moscow: Finansy i statistika. 251 p.

13. Combining machine learning with credit risk scorecards. Retrieved April 10, 2023, from http://www.fico.com (in Russian)

14. Valenceva, N. I. (2005). Tendencii razvitiya metodov kreditovaniya. In Sovremennye bankovskietekhnologii: teoreticheskie osnovy i praktika (pp. 85-89). Moscow: Finansy i statistika.

15. Data analytics essential as new alternative credit scoring models emerge. Retrieved April 10, 2023,from https://www.gdslink.com/_data-analytics-essential-as-new-creditscoring-models-emerge/ (in Russian)

16. Hand, D. J., & Henley, W. E. (1997). Statistical classifi cation methods in consumer credit scoring: A review. Journal of the Royal Statistical Society: Series A (Statistics in Society), 160(3), 523-541.

17. Ekіnshі dengejdegі bankterdіn ekonomikaga kreditterі (Taldamalyk usynu) (2022). Retrieved February, 2023, from https://nationalbank.kz/ru/news/loans-to-economy-from-second-tier-banks/rubrics/1840 (in Kazakh)

18. Kazakstandagy kreditter bojynsha nakty pajyzdyk molsherlemeler terіs ajmakka ottі (2023). Habarshy: Forbes. Retrieved February, 2023, from https://forbes.kz/economy/finance/realnyie_protsentnyie_stavki_po_kreditam_v_kazahstane_pereshli_v_otritsatelnuyu_zonu (in Kazakh)

19. Lavrushin, O. I., Afanas'eva, O. II., & Kornienko, S. L. (2009). Bankovskoe delo: sovremennaya sistemakreditovaniya. Moscow: KNORUS. 246 p.

20. Bankovskoe delo: sovremennaya sistema kreditovaniya: uchebnoe posobie O. I. Lavrushin, O. I. Afanas'eva, & S. L. Kornienko, Eds. 2009. 5th ed. Moscow. 203 p.


Review

For citations:


Gulimbetova R.U., Nurkasheva N.S., Zhumabayeva M.D. BANK LENDING IN CONDITIONS OF GLOBAL FINANCIAL INSTABILITY: THE CASE OF KAZAKHSTAN. Central Asian Economic Review. 2024;(4):122-133. (In Kazakh) https://doi.org/10.52821/2789-4401-2024-4-122-133

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ISSN 2789-4398 (Print)
ISSN 2789-4401 (Online)