Результаты поиска по 'behavioral model':
Найдено статей: 112
  1. Shatrov A.V., Okhapkin V.P.
    Optimal control of bank investment as a factorof economic stability
    Computer Research and Modeling, 2012, v. 4, no. 4, pp. 959-967

    This paper presents a model of replenishment of bank liquidity by additional income of banks. Given the methodological basis for the necessity for bank stabilization funds to cover losses during the economy crisis. An econometric derivation of the equations describing the behavior of the bank financial and operating activity performed. In accordance with the purpose of creating a stabilization fund introduces an optimality criterion used controls. Based on the equations of the behavior of the bank by the method of dynamic programming is derived a vector of optimal controls.

    Keywords: bank liquidity, stabilization fund, nonlinear regression, income function, criterion, optimal control, dynamic programming.
    Views (last year): 5.
  2. Bogdanov A.V., Mareev V.V., Stepanov E.A., Panchenko M.V.
    Modeling of behavior of the option. The formulation of the problem
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 759-766

    Object of research: The creation of algorithm for mass computations of options‘ price for formation of a riskless portfolio. The method is based on the generalization of the Black–Scholes method. The task is the modeling of behavior of all options and tools for their insurance. This task is characterized by large volume of realtime complex computations that should be executed concurrently The problem of the research: depending on conditions approaches to the solution should be various. There are three methods which can be used with different conditions: the finite difference method, the path-integral approach and methods which work in conditions of trade stop. Distributed computating in these three cases is organized differently and it is necessary to involve various approaches. In addition to complexity the mathematical formulation of the problem in literature is not quite correct. There is no complete description of boundary and initial conditions and also several hypotheses of the model do not correspond to real market. It is necessary to give mathematically correct formulation of the task, and to neutralize a difference between hypotheses of the model and their prototypes in the market. For this purpose it is necessary to expand standard formulation by additional methods and develop methods of realization for each of solution branches.

    Keywords: financial mathematics, options pricing, asian option, wellposedness formulation, boundary conditions.
    Views (last year): 2. Citations: 1 (RSCI).
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