Bayesian Analysis of a Stochastic Volatility Model with Leverage Effect and Fat Tails
Preprint
- 1 January 2001
- preprint
- Published by Elsevier in SSRN Electronic Journal
Abstract
The basic univariate stochastic volatility model specifies that conditional volatility follows a log-normal auto-regressive model with innovations assumed to beKeywords
This publication has 28 references indexed in Scilit:
- Implied Volatility Functions: Empirical TestsThe Journal of Finance, 1998
- How Relevant is Volatility Forecasting for Financial Risk Management?Published by National Bureau of Economic Research ,1998
- A Maximum Likelihood Approach for Non-Gaussian Stochastic Volatility ModelsJournal of Business & Economic Statistics, 1998
- Understanding the Metropolis-Hastings AlgorithmThe American Statistician, 1995
- On Gibbs sampling for state space modelsBiometrika, 1994
- ARCH modeling in financeJournal of Econometrics, 1992
- Inference for nonconjugate Bayesian Models using the Gibbs samplerThe Canadian Journal of Statistics / La Revue Canadienne de Statistique, 1991
- Geometric Bounds for Eigenvalues of Markov ChainsThe Annals of Applied Probability, 1991
- A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of ReturnThe Review of Economics and Statistics, 1987
- The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location ParametersThe Annals of Mathematical Statistics, 1971