Simulation
Use SDE model objects with functions for standard Monte Carlo simulations and quasi-Monte Carlo simulations.
Objects
sde | Stochastic Differential Equation (SDE) model | 
bm | Brownian motion (BM) models  | 
gbm | Geometric Brownian motion (GBM) model  | 
merton | 
            Merton jump diffusion model | 
bates | 
            Bates stochastic volatility model | 
drift | Drift-rate model component | 
diffusion | Diffusion-rate model component | 
sdeddo | Stochastic Differential Equation (SDEDDO) model from Drift
            and Diffusion components  | 
sdeld | SDE with Linear Drift (SDELD) model  | 
cev | Constant Elasticity of Variance (CEV) model | 
cir | Cox-Ingersoll-Ross (CIR) mean-reverting square root diffusion
            model | 
heston | Heston model | 
hwv | Hull-White/Vasicek (HWV) Gaussian Diffusion model  | 
sdemrd | SDE with Mean-Reverting Drift (SDEMRD) model | 
rvm | Rough volatility model (RVM) (Since R2023b) | 
roughbergomi | Rough Bergomi model (Since R2024a) | 
roughheston | Rough Heston model (Since R2024b) | 
Functions
Topics
- Simulating Equity Prices
This example compares alternative implementations of a separable multivariate geometric Brownian motion process.
 - Simulating Interest Rates
This example highlights the flexibility of refined interpolation by implementing this power-of-two algorithm.
 - Stratified Sampling
This example specifies a noise function to stratify the terminal value of a univariate equity price series.
 - Price American Basket Options Using Standard Monte Carlo and Quasi-Monte Carlo Simulation
Model the fat-tailed behavior of asset returns and assess the impact of alternative joint distributions on basket option prices.
 - Improving Performance of Monte Carlo Simulation with Parallel Computing
This example shows how to improve the performance of a Monte Carlo simulation using Parallel Computing Toolbox™.
 - SDEs
Model dependent financial and economic variables by performing standard Monte Carlo or Quasi-Monte Carlo simulation of stochastic differential equations (SDEs).
 - SDE Models
Most models and utilities available with Monte Carlo Simulation of SDEs are represented as MATLAB® objects.
 - Quasi-Monte Carlo Simulation
Quasi-Monte Carlo simulation is a Monte Carlo simulation but uses quasi-random sequences instead pseudo random numbers.
 - Performance Considerations
Performance considerations for managing memory when solving most problems supported by the SDE engine.