Rumyantsev, Mikhail I. (2011): Simulation of financial institutions activity in transitional economies. Published in: Proceedings of Regional Conference “Actual Issues of Modern Economic Science and International Relations” in Dnepropetrovsk, Ukraine, November 25-26, 2011 , Vol. 2, (26 November 2011): pp. 53-63.
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Abstract
The paper reviews the concepts of system dynamics and its applications to the simulation modeling of financial institutions daily activity. While widely applicable, the approach is of a particular interest in transitional and developing economies. The hybrid method of banking business processes re-engineering based on a combination of system dynamics, queuing theory and ordinary differential equations (Kolmogorov equations) is introduced. By the way of method illustration, we consider the promotion of a set of banking products among some categories of clients.
Item Type: | MPRA Paper |
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Original Title: | Simulation of financial institutions activity in transitional economies |
Language: | English |
Keywords: | banking; simulation; system dynamics; Kolmogorov equations |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 35265 |
Depositing User: | Mikhail I. Rumyantsev |
Date Deposited: | 08 Dec 2011 18:25 |
Last Modified: | 03 Oct 2019 04:50 |
References: | [1] Abchuk, V.A. et al. (1979), Handbook of Operations Research, Voenizdat, Moscow (in Russian). [2] Arnold, V.I. (2004), Catastrophe Theory, 3rd ed., Springer-Verlag, Berlin. [3] Beer, S. (1967), Cybernetics and Management, 2nd ed., The English Universities Press, London. [4] Forrester, J.W. (1958), “Industrial Dynamics – A Major Breakthrough for Decision Makers”, Harvard Business Review, Vol. 36, No. 4, pp. 37-66. [5] Forrester, J.W. (1991), “System dynamics and the lessons of 35 years”, working paper D-4224-4, Sloan School of Management, MIT, Cambridge, MA, 29 April. [6] Kalman, R.E. et al. (1969), Topics in mathematical system theory, McGraw Hill, New York. [7] Pariyskaya, E.Yu. (1997), “The comparative analysis of mathematical models and approaches to the simulation and analysis of continuously-discrete systems”, Differential equations and control processes, No. 1, pp. 91-120 (in Russian; available at: http://www.neva.ru/journal). [8] Rumyantsev, M.I. (2006), “A generalized mathematical model for the commercial bank”, Georgian Electronic Scientific Journal: Computer Sciences and Telecommunications, No. 4, pp. 44-48 (in Russian; available at: http://gesj.internet-academy.org.ge/gesj_articles/1276.pdf). [9] Rumyantsev, M.I. (2008), “Modeling the activities of the financial-credit institution by means of system dynamics”, Belarusian Economic Journal, No. 3, pp. 103-110 (in Russian; available at: http://renixa-1959.socionet.ru/files/RMIBEM2008.pdf). [10] Zulpukarov, M.-G.M. (2007), “New determined-probabilistic algorithms and models of non-linear dynamics”, Ph.D. Thesis, Keldysh Institute of Applied Mathematics, Moscow (in Russian). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/35265 |