Itô Stochastic Differential Equation Modeling for Bitcoin Data, Van, Türkiye, 8 - 10 Haziran 2021, cilt.1, sa.1, ss.133
In this study, Bitcoin data is examined by Stochastic Differential Equation Modeling
(SDEM). At first, the parameters of SDE established for the given Bitcoin data are
estimated by using maximum likelihood estimation method. Then, we have obtained
reasonable Stochastic Differential Equation (SDE) based on the Bitcoin data. Finally, by
applying Euler-Maruyama Approximation Method trajectories of SDE according to the
fixed time are achieved. The performances of trajectories are established by Chi-Square
criteria. The results are acquired by using statistical software R-Studio.