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ESTIMATING THE PROBABILITY OF OIL COMPANY DEFAULT BASED ON SYSTEM DYNAMICS MODEL

https://doi.org/10.32686/1812-5220-2018-15-2-86-92

Abstract

This study demonstrates the possibility of using a system-dynamic model of oil producing and refining enterprise for assessing the probability of its default. The obtained results are compared with the estimations of rating agencies.

About the Authors

D. S. Kurennoy
Moscow State University, Moscow
Russian Federation


D. Yu. Golembiovskiy
Moscow State University, Moscow
Russian Federation


References

1. Bollerslev T. Generalized autoregressive conditional het- eroskedasticity // Journal of Econometrics. 1986. № 31. P. 309-328.

2. Clopper C. J. The use of confidence or fiducial limits illus- trated in the case of the binomial / C. J. Clopper, E. S. Pear- son // Biometrika. 1934. № 26. P. 404-413.

3. Engle R. F. Autoregressive conditional heteroskedasticity with estimates of the UK inflation // Econometrica. 1982. № 50. P. 987-1008.

4. Forrester J.W. Urban Dynamics / Pegasus Communica- tions. 1969.

5. Forrester J.W. Industrial Dynamics / MIT Press. 1961.

6. Gurný P., Gurný M. Comparison of credit scoring models on probability of default estimation for us banks // Prague economic papers. 2013.

7. Morecroft J. and Sterman J. (eds.) Modeling for Learning Organizations. Portland, OR: Productivity Press. 1994.

8. Riddalls C. E, Bennett S. Modeling the dynamics of supply chains // International Journal of Systems Science. 2000.

9. Roberts E. B. (editor) Managerial Application of System Dynamics / Productivity Press. 1994.

10. Schwarz G. Estimating the dimension of a model // Annals of Statistics. 1978. № 2. P. 461-464.

11. Sterman J. D. Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: McGraw-Hill Companies, 2000.

12. URL: http://www.bashneft.ru/shareholders_and_inves- tors/finance-results/

13. URL: https://www.fitchratings.com/site/regulatory

14. URL: https://www.mathworks.com/

15. URL: https://www.moodys.com/Pages/GuideToDefault- Research.aspx

16. Бокс Дж., Дженкинс Т. Анализ временных рядов. Про- гноз и управление. М.: Мир, 1974.

17. Куренной Д. С., Голембиовский Д. Ю. Системно-дина- мическая модель кредитного риска нефтедобываю- щей и нефтеперерабатывающей компании // Пробле- мы анализа риска. Т. 14. 2017. № 1 С. 6-22.

18. Справочник аналитика [Электронный ресурс]. URL: http://www.bashneft.ru/

19. Тотьмянина К. М. Обзор моделей вероятности дефол- та // Управление финансовыми рисками. 2011. № 1 (25). С. 12-24.


Review

For citations:


Kurennoy D.S., Golembiovskiy D.Yu. ESTIMATING THE PROBABILITY OF OIL COMPANY DEFAULT BASED ON SYSTEM DYNAMICS MODEL. Issues of Risk Analysis. 2018;15(2):86-92. (In Russ.) https://doi.org/10.32686/1812-5220-2018-15-2-86-92

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ISSN 1812-5220 (Print)
ISSN 2658-7882 (Online)