Preview

The Journal of Almaty Technological University

Advanced search

THE RISK ASSESSMENT METHOD VAR FOR A CREDIT PORTFOLIO OF BANK

Abstract

In this paper stress-testing of the Kazakhstani banking sector, the analysis of international experience in the construction of systems approaches to risk assessment VaR, and highlights key points that could be useful for the supervisory authority in Kazakhstan. An approach VaR methodology the banking sector, based on the concept of «top-down» and evaluating stress distribution with macro-level phenomena to individual credit institutions through a system of interrelated economic and mathematical models. The most effective tool for measuring currency risks is currently used in the world by the methodology Value-at-Risk (VaR).

About the Authors

N. S. Zaurbekov
Almaty technological University
Russian Federation


A. A. Amanbaev
Almaty University of energy and communications
Russian Federation


E. B. Zhumahanbetov
Almaty technological University
Russian Federation


References

1. Соболь И.М. Метод Монте-Карло. - М.: Наука, 1985. - 80 с.

2. Савелова Т.И. Метод Монте-Карло: Учебное пособие. - М.: НИЯУ МИФИ, 2011. - 152 с.

3. Михайлов Г.А., Войтишек А.В. Статистическое моделирование. Методы Монте-Карло: Учебное пособие для бакалавриата - магистратуры. - М.: Изд-во Юрайт, 2018. - 371 с.

4. Князева Е.Г., Юзвович Л.И., Луговцов Р.Ю., Фоменко В.В. Финансово-экономические риски: Учебное пособие. - Екатеринбург: Изд-во Урал. ун-та, 2015. - 112 с.

5. Соболь И.М. Численные методы Монте-Карло. - М.: Наука, 1973. - 312 с.

6. Жуков Е.Ф., Максимова Л.М., Маркова О.М. и др. Банки и банковские операции: Учебник для вузов - М.: Финансы и статистика, 2008. - 471 с.


Review

For citations:


Zaurbekov N.S., Amanbaev A.A., Zhumahanbetov E.B. THE RISK ASSESSMENT METHOD VAR FOR A CREDIT PORTFOLIO OF BANK. The Journal of Almaty Technological University. 2019;(2):100-105. (In Russ.)

Views: 485


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


ISSN 2304-568X (Print)
ISSN 2710-0839 (Online)