Methods of simulation mathematical modeling of the Russian derivatives market in modern times
Автор: Karpinskaya T.A., Kudryavtsev O.E.
Журнал: Вестник Донского государственного технического университета @vestnik-donstu
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 4 т.19, 2019 года.
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Introduction. The paper is devoted to simulation modeling. Basic methods of the simulation mathematical modeling in the derivatives market are described. A group of realistic nonGaussian Levy processes that generalize the classical BlackScholes model is considered. The work objective is to study the most efficient methods of market forecasting, as well as the software implementation of the simulation mathematical modeling technique of the Russian derivatives market based on the Levy model. This research is relevant due to the demand for applications that simulate the dynamics of financial assets and evaluate options in realistic models of the derivatives market, allowing for jumps.Materials and Methods. Basic methods for forecasting the derivatives market, methods for determining the volatility rate at a known option price, are considered. The most effective types of Levy processes for the simulation mathematical modeling of the Russian derivatives market at the present stage are highlighted...
Mathematical modeling, numerical method, volatility index, option, levy process, classical black-scholes model, derivatives market, gaussian process, generalized poisson process
Короткий адрес: https://sciup.org/142221975
IDR: 142221975 | DOI: 10.23947/1992-5980-2019-19-4-398-406