scholarly journals On explicit tamed Milstein-type scheme for stochastic differential equation with Markovian switching

2020 ◽  
Vol 377 ◽  
pp. 112917
Author(s):  
Chaman Kumar ◽  
Tejinder Kumar
2020 ◽  
Vol 8 (1) ◽  
pp. 17-32
Author(s):  
Xiangdong Liu ◽  
Zeyu Mi ◽  
Huida Chen

AbstractOur article discusses a class of Jump-diffusion stochastic differential system under Markovian switching (JD-SDS-MS). This model is generated by introducing Poisson process and Markovian switching based on a normal stochastic differential equation. Our work dedicates to analytical properties of solutions to this model. First, we give some properties of the solution, including existence, uniqueness, non-negative and global nature. Next, boundedness of first moment of the solution to this model is considered. Third, properties about coefficients of JD-SDS-MS is proved by using a right continuous markov chain. Last, we study the convergence of Euler-Maruyama numerical solutions and apply it to pricing bonds.


2003 ◽  
Vol 10 (2) ◽  
pp. 381-399
Author(s):  
A. Yu. Veretennikov

Abstract We establish sufficient conditions under which the rate function for the Euler approximation scheme for a solution of a one-dimensional stochastic differential equation on the torus is close to that for an exact solution of this equation.


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