Improve stock price model-based stochastic pantograph differential equation

MA Eissa, M Elsayed - Symmetry, 2022 - mdpi.com
Although the concept of symmetry is widely used in many fields, it is almost not discussed in
finance. This concept appears to be relevant in relation, for example, to mathematical …

A small time large deviation principle for stochastic differential delay equations

J Yang, Z **ang, J Zhai - Applied Mathematics Letters, 2023 - Elsevier
In this paper, we prove a small time large deviation principle for a type of stochastic
differential delay equations. The key point is to translate small time asymptotic behavior …

Stability of numerical solution to pantograph stochastic functional differential equations

H Wu, J Hu, C Yuan - Applied Mathematics and Computation, 2022 - Elsevier
The paper studies the convergence of the numerical solutions for pantograph stochastic
functional differential equations which was proposed in Wu et al.(2022)[16]. We also show …

Convergence, non-negativity and stability of a new Lobatto IIIC-Milstein method for a pricing option approach based on stochastic volatility model

MA Eissa, Q Ye - Japan Journal of Industrial and Applied Mathematics, 2021 - Springer
Recently, stochastic differential equation (SDE) has been used for many applications in
option pricing models which satisfy the non-negativity. So, constructing new numerical …

On Parameter Estimation of Stochastic Delay Difference Equation using the Two -delay Autoregressive Coefficients

M Ratchagit, B Wiwatanapataphee… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This paper aims to present how to estimate a model parameter, namely the fixed rate of the
investment return in the stochastic delay difference equation in financial time series using …

Statistical Analysis of Delay in Time Series

M Ratchagit - 2023 - espace.curtin.edu.au
This thesis focuses on delay in time series data. The first delay involves the m-delay
autoregressive model. This approach considers only the first and the last previous …

[PDF][PDF] Modified Split-Step Theta Milstein Methods for M-Dimensional Stochastic Differential Equation With Respect To Poisson-Driven Jump

MA Eissa, F Tian, B Tian - Appl. Math, 2020 - naturalspublishing.com
Recently, split-step techniques have been integrated with a Milstein scheme to improve the
fundamental analysis of numerical solutions of stochastic differential equations (SDEs) …