Michael Johannes

“MCMC Methods for Financial Econometrics”

Coauthor(s): Nicholas Polson.

Editors: Y. Ait-Sahalia and L.P. Hansen

Download:

Adobe Acrobat PDF

Abstract:
This chapter discusses Markov Chain Monte Carlo (MCMC) based methods for estimating continuous-time asset pricing models. We describe the Bayesian approach to empirical asset pricing, the mechanics of MCMC algorithms and the strong theoretical underpinnings of MCMC algorithms. We provide a tutorial on building MCMC algorithms and show how to estimate equity price models with factors such as stochastic expected returns, stochastic volatility and jumps, multi-factor term structure models with stochastic volatility, time-varying central tendancy or jumps and regime switching models.

Source: Handbook of Financial Econometrics Vol. 2
Exact Citation:
Johannes, Michael, and Nicholas Polson. "MCMC Methods for Financial Econometrics." In Handbook of Financial Econometrics 2, 1-72. Ed. Y. Ait-Sahalia and L.P. Hansen. Amsterdam: North Holland, May 2009.
Pages: 1-72
Place: Amsterdam
Date: 5 2009