Skip to content

Fitting a univariate stochastic volatility model to asset returns using particle marginal metropolis-hastings MCMC

Notifications You must be signed in to change notification settings

matteo-V/Stochastic-Parti

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

Fitting stochastic volatility models with Particle Marginal Metropolis-Hastings (PMMH) MCMC

This repository contains example code which fits a stochastic volatility model to simulated data. The model is fit using the Bayesian paradigm via particle marginal metropolis-hastings MCMC.

Stochastic volatility model

About

Fitting a univariate stochastic volatility model to asset returns using particle marginal metropolis-hastings MCMC

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages