The log-asset dynamic with Euler-Maruyama scheme under Wishart processes
DOI10.1155/2021/4050722zbMath1486.65011OpenAlexW3217583608MaRDI QIDQ2068271
Anthony Waititu, Raphael Naryongo, Philip Ngare
Publication date: 19 January 2022
Published in: International Journal of Mathematics and Mathematical Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2021/4050722
Numerical methods (including Monte Carlo methods) (91G60) Statistical methods; risk measures (91G70) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Derivative securities (option pricing, hedging, etc.) (91G20) Numerical solutions to stochastic differential and integral equations (65C30)
Cites Work
- The Pricing of Options and Corporate Liabilities
- The truncated Euler-Maruyama method for stochastic differential equations
- Wishart processes
- Stochastic calculus for finance. II: Continuous-time models.
- Exact and high-order discretization schemes for Wishart processes and their affine extensions
- European option pricing under Wishart processes
- Transform formulae for linear functionals of affine processes and their bridges on positive semidefinite matrices
- Affine diffusions and related processes: simulation, theory and applications
- The Shape and Term Structure of the Index Option Smirk: Why Multifactor Stochastic Volatility Models Work So Well
- A multifactor volatility Heston model
- Calibration and advanced simulation schemes for the Wishart stochastic volatility model
- An Euler-type method for the strong approximation of the Cox–Ingersoll–Ross process
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Euler scheme for SDEs with non-Lipschitz diffusion coefficient: strong convergence
- Continuous Time Wishart Process for Stochastic Risk
This page was built for publication: The log-asset dynamic with Euler-Maruyama scheme under Wishart processes