Mechanism and model of credit portfolio diversification
https://doi.org/10.32686/1812-5220-2020-17-1-78-89
Abstract
About the Author
E. V. OrlovaRussian Federation
Ekaterina V. Orlova
450008, Republic of Bashkortostan, Ufa, K. Marx str., b. 12
References
1. Overview of the banking sector of the Russian Federation. Analytical indicators. Moscow: Bank of Russia, 2019. Vol. 196. URL: https://www.cbr.ru/Collection/Collection/File/14239/obs_196.pdf (Russia).
2. Bank of Russia Instruction “On Obligatory Bank Ratios” No. 180-I of June 28, 2017 (November 27, 2017). URL: https://www.cbr.ru/queries/xsltblock/file/48357?fileid=-1&scope=1899-1900 (Russia).
3. “Provision on the procedure for the formation by credit organizations of reserves for possible losses on loans, loan debt and equivalent debt” (approved by the Bank of Russia June 28, 2017 No. 590-P) (as amended on 12/26/2018). URL: https://base.garant.ru/71721612/ (Russia).
4. Lunyakova, N. A., Lavrushin, O. I. & Lunyakov O. V. (2018). Clustering of the Federal Subjects of the Russian Federation by Deposit Risk Level. Ekonomika regiona [Economy of Region], 14(3), 10471061. (Russia). doi 10.17059/2018-3-27
5. The development of the banking sector and its infrastructure in the Russian economy: a monograph / ed. O. I. Lavrushin. M.: KNORUS, 2017. 176 p. (Russia).
6. Tobin P., Brown A. Estimation of Liquidity Risk in B king // ANZIAM Journal. 2004. Vol. 45. P. 519—533.
7. Allan J., Boot P., Verrall R., Walsh D. The Management of Risks in Banking // British Actuarial Journal. 1998. Vol. 4 (Part IV). P. 707—802.
8. Kuznetsov I. V., Zhevaga A. A. Stress testing of credit risk in a commercial bank on the basis of macroeconomic indicators // Financial Risk Management. 2018. № 1. P. 2—11. (Russia).
9. Shamrina S. Y., Lomakina A. N. A scenario analysis of stress testing in the assessment of the main risks of a credit institution // Finance and Credit. 2018. Vol. 24. No. 7 (775). P. 17361750. (Russia) https://doi.org/10.24891/fc.24.7.1736
10. Kurennoy D. S. Algorithm for solving the problem of reverse stress testing the bank's loan portfolio based on system-dynamic models of borrowers // International Journal of Open Information Technologies. 2018. Vol. 6. No. 10. P. 9—21. (Russia).
11. Principles for sound stress testing practices and supervision. Basel committee on banking supervision, 2009.
12. Kazansky A. V. Functioning of the Internal Rating System of a Commercial Bank // Problems the Modern Economics. 2016. No. 4. P. 127—131. (Russia).
13. Dedova M. S. A Comparison of Time-series Bootstrap Methods in Terms of Backtesting Risk Measurement Models of Banks // HSE Economic Journal, 2018. Vol. 22, no 1. P. 84—109. (Russia). doi: 10.17323/1813-8691-2018-22-1-84–109
14. Rashevskikh M. A. Methods of credit portfolio management in Russia // Economy and sociology. 2017. No. 1. P. 32—34. (Russia).
15. Ruiz I. XVA Desks — A New Era for Risk Management. London: Palgrave Macmillan UK, 2015. 433 p.
16. Basel Committee on Banking Supervision. Sound Practices for Backtesting Counterparty Credit Risk Models, 2010.
17. Bronshtein E. M., Shaposhnikova A. G. Portfolio o mization based on complex index risk measures // Audit and financial analysis. 2010. No. 5. P. 220—224. (Russia).
18. Guzairov M. B., Orlova E. V. Modeling of innovation processes of regional systems under risk // Vestnik of Ufa State Aviation Technical University. 2012. No. 1. P. 226—232. (Russia).
19. Saaty T. Decision Making with Dependencies and Feedback: Analytic Networks. M.: LKT Publishing House, 2008. 360 p. (Russia).
20. Rockafellar R. T., Uryasev S. Conditional Value-at-Risk for General Loss Distributions // Journal of Banking and Finance. 2002. Vol. 26. P. 1443—1471.
21. Rockafellar R. T., Uryasev S. Optimization of Conditional Value-At-Risk // The Journal of Risk. 2003. Vol. 2. No. 3. P. 21—41.
22. Rachev S. T., Menn C., Fabozzi F. J. Fat-Tailed and Skewed Asset Return Distributions. Implications for Risk Management, Portfolio Selection, and Option Pricing. John Wiley & Sons, 2005. 369 p.
23. Orlova E. V. Mechanism and models of credit risk management // Audit and financial analysis. 2017. № 5—6. P. 645—652. (Russia).
24. Orlova E. V. Credit risk assessment on the basis of multidimensional analysis // Computer Research and Modeling, 2013. Vol. 5. No. 5 Pp. 893—901. (Russia).
25. Orlova E. V. Identification and prediction of risks in economic system based on simulation methods // Issues of Risk Analysis. Vol. 11. 2014. No. 1. P. 40—49. (Russia).
26. Orlova E.V., Harrasov R.R. Econometric model for estimation and prediction of individuals creditability // Audit and financial analysis. 2016. № 2. P. 131—136. (Russia).
27. Orlova E. V. Simulation and management of risks in the transport company // Issues of Risk Analysis. Vol. 15. 2018. No. 5. P. 46—55. (Russia). https://doi.org/10.32686/1812-52202018-15-5-46-55
Review
For citations:
Orlova E.V. Mechanism and model of credit portfolio diversification. Issues of Risk Analysis. 2020;17(1):78-89. (In Russ.) https://doi.org/10.32686/1812-5220-2020-17-1-78-89