THE THEORETICAL MODEL FOR PREDICTING FINANCIAL INSTABILITY OF THE RUSSIAN INTERBANK CREDIT MARKET BASED ON FAMILY EPIDEMIOLOGICAL MODELS
( Pp. 219-221)
More about authors
Karaev Alan K.
doktor tehnicheskih nauk, professor, glavnyy nauchnyy sotrudnik Departamenta obschestvennyh finansov
Financial University under the Government of the Russian Federation Melnichuk Marina V. doktor ekonomicheskih nauk, professor, rukovoditel Departamenta angliyskogo yazyka i professionalnoy podgotovki, professor Departamenta angliyskogo yazyka i professionalnoy podgotovki
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Financial University under the Government of the Russian Federation Melnichuk Marina V. doktor ekonomicheskih nauk, professor, rukovoditel Departamenta angliyskogo yazyka i professionalnoy podgotovki, professor Departamenta angliyskogo yazyka i professionalnoy podgotovki
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Abstract:
The paper considers theoretical (mathematical) model the spread of financial contagion in the Russian banking system, based on the epidemiological approach, which can be used to manage the security of the banking system, taking into account time parameters characterizing including time delay or latency time of malicious financial contagion. The model is flexible and versatile, as taken into account the different characteristics that can meet the specific parameters of the banking system. The theoretical model allows to estimate and predict the spread of a possible financial epidemic spread of a bank failure, study the dynamics of the number of infected zombie banks and examine the effectiveness of measures to counteract the spread of malicious financial contagion
How to Cite:
Karaev A.K., Melnichuk M.V., (2015), THE THEORETICAL MODEL FOR PREDICTING FINANCIAL INSTABILITY OF THE RUSSIAN INTERBANK CREDIT MARKET BASED ON FAMILY EPIDEMIOLOGICAL MODELS. Business in Law, 5 => 219-221.
Reference list:
Karaev A.K., Mel nichuk M.V., (2014), Ispol zovanie SFC-modelirovaniya dlya tseley dolgosrochnogo prognozirovaniya. Biznes v zakone, 5: 320-325.
Papava V. Problema zombirovaniya postkommunisticheskoy nekroekonomiki /Vestnik Instituta Kennana v Rossii. 2009. Vypusk 15. S.37.Moskva.
Matovnikov Mikhail Situatsiya v bankovskoy sisteme. Sberbank Rossii. Mart 2014 goda
Philip Munz, Ioan Hudea, Joe Imad, and Robert J Smith When zombies attack : Mathematical modelling of an outbreak of zombie infection. Infectious Disease Modelling Research Progress, №4:, p.133-150, 2009.
Robert Smit Mathematical Modeling of Zombies. University of Ottava Press. 2014.
Ronald Hochreiter and Christoph Waldhauser. Zombie politics: Evolutionary algorithms to counteract the spread of negative opinions. arXiv preprint arXiv:1401.6420, 2014.
Felipe Nunez, Cesar Ravello, Hector Urbina, and Tomas Perez-Acle. A rule-based model of a hypothetical zombie outbreak: Insights on the role of emotional factors during behavioral adaptation of an artificial population. arXiv preprint arXiv:1210.4469, 2012.
Alexander A. Alemi, Matthew Bierbaum, Christopher R. Myers, James P. Sethna The Epidemiology and Statistical Mechanics of Zombies, arXiv preprint arXiv: 1503.01104v2, 2015.
Karas, Alexei and Schoors, Koen J. L., A Guide to Russian Banks Data (August 13, 2010). Available at SSRN: http://ssrn.com/paper 1658468.
Toivanen, M. (2015). Contagion in the interbank network: An epidemiological approach. Bank of Finland Discussion Paper 19/2015.
Tianshu Jiang,Mengzhe Zhou, Bi Shen, Wendi Xuan, Sijie Wen, Tianyi Shao, and Jianquan Lu Dynamics in Bank Crisis Model//Mathematical Problems in Engineering Volume 2015, Article ID 378463, 5 pages
http://dx.doi.org/10.1155/2015/378463
Papava V. Problema zombirovaniya postkommunisticheskoy nekroekonomiki /Vestnik Instituta Kennana v Rossii. 2009. Vypusk 15. S.37.Moskva.
Matovnikov Mikhail Situatsiya v bankovskoy sisteme. Sberbank Rossii. Mart 2014 goda
Philip Munz, Ioan Hudea, Joe Imad, and Robert J Smith When zombies attack : Mathematical modelling of an outbreak of zombie infection. Infectious Disease Modelling Research Progress, №4:, p.133-150, 2009.
Robert Smit Mathematical Modeling of Zombies. University of Ottava Press. 2014.
Ronald Hochreiter and Christoph Waldhauser. Zombie politics: Evolutionary algorithms to counteract the spread of negative opinions. arXiv preprint arXiv:1401.6420, 2014.
Felipe Nunez, Cesar Ravello, Hector Urbina, and Tomas Perez-Acle. A rule-based model of a hypothetical zombie outbreak: Insights on the role of emotional factors during behavioral adaptation of an artificial population. arXiv preprint arXiv:1210.4469, 2012.
Alexander A. Alemi, Matthew Bierbaum, Christopher R. Myers, James P. Sethna The Epidemiology and Statistical Mechanics of Zombies, arXiv preprint arXiv: 1503.01104v2, 2015.
Karas, Alexei and Schoors, Koen J. L., A Guide to Russian Banks Data (August 13, 2010). Available at SSRN: http://ssrn.com/paper 1658468.
Toivanen, M. (2015). Contagion in the interbank network: An epidemiological approach. Bank of Finland Discussion Paper 19/2015.
Tianshu Jiang,Mengzhe Zhou, Bi Shen, Wendi Xuan, Sijie Wen, Tianyi Shao, and Jianquan Lu Dynamics in Bank Crisis Model//Mathematical Problems in Engineering Volume 2015, Article ID 378463, 5 pages
http://dx.doi.org/10.1155/2015/378463
Keywords:
zombie banks, financial stability, financial contagion.
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