Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 5, Issue 1


Published
on

March 31, 2020


Pages

337-348


DOI

Article

An Application of New Method to Obtain Probability Density Function of Solution of Stochastic Differential Equations

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Authors

Nihal İnce Affiliation:
Department of Statistics, Faculty of Science, Eskisehir Technical University, Eskisehir, Turkey
and Aladdin Shamilov Affiliation:
Department of Statistics, Faculty of Science, Eskisehir Technical University, Eskisehir, Turkey


Abstract

In this study, a new method to obtain approximate probability density function (pdf) of random variable of solution of stochastic differential equations (SDEs) by using generalized entropy optimization methods (GEOM) is developed. By starting given statistical data and Euler–Maruyama (EM) method approximating SDE are constructed several trajectories of SDEs. The constructed trajectories allow to obtain random variable according to the fixed time. An application of the newly developed method includes SDE model fitting on weekly closing prices of Honda Motor Company stock data between 02 July 2018 and 25 March 2019.


Keywords

generalized entropy optimization methods, stochastic differential equation model, Euler–Maruyama Method, 65C30, 94A17


Citation

İnce, N. & Shamilov, A. (2020). An application of new method to obtain probability density function of solution of stochastic differential equations. Applied Mathematics and Nonlinear Sciences, 5(1), 337–348. https://doi.org/10.2478/amns.2020.1.00031

Published by: Engineering Journals

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