模拟
将 SDE 模型对象和函数结合使用来进行标准蒙特卡罗模拟或准蒙特卡罗模拟。
对象
sde | 随机微分方程 (SDE ) 模型 |
bm | 布朗运动 (BM ) 模型 |
gbm | 几何布朗运动 (GBM ) 模型 |
merton |
Merton jump diffusion model (自 R2020a 起) |
bates |
Bates stochastic volatility model (自 R2020a 起) |
drift | 漂移率模型分量 |
diffusion | 扩散率模型分量 |
sdeddo | 基于漂移和扩散分量建立随机微分方程 (SDEDDO ) 模型 |
sdeld | SDE with Linear Drift (SDELD ) model |
cev | 常方差弹性 (CEV ) 模型 |
cir | 考克斯-英格索尔-罗斯 (CIR ) 均值回归平方根扩散模型 |
heston | Heston 模型 |
hwv | 赫尔-怀特/瓦西塞克 (HWV ) 高斯扩散模型 |
sdemrd | 采用均值回归漂移 (SDEMRD ) 模型的 SDE |
rvm | Rough volatility model (RVM ) (自 R2023b 起) |
roughbergomi | Rough Bergomi model (自 R2024a 起) |
函数
主题
- 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.