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Stochastic volatility models: conditional normality versus heavy-tailed distr...
Most of the empirical applications of the stochastic volatility (SV) model are based on the assumption that the conditional distribution of returns, given the latent volatility... -
Testing for a unit root in the volatility of asset returns (replication data)
It is now well established that the volatility of asset returns is time varying and highly persistent. One leading model that is used to represent these features of the data is... -
A non-linear filtering approach to stochastic volatility models with an appli...
This paper develops a new model for the analysis of stochastic volatility (SV) models. Since volatility is a latent variable in SV models, it is difficult to evaluate the exact... -
An empirical application of stochastic volatility models (replication data)
This paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data for four major currencies. We concentrate on the... -
The conditional heteroscedasticity of the yen-dollar exchange rate (replicati...
This paper examines the conditional heteroscedasticity of the yen-dollar exchange rate. A model is constructed by extending the asymmetric power autoregressive conditional... -
SIGN- AND VOLATILITY-SWITCHING ARCH MODELS: THEORY AND APPLICATIONS TO INTERN...
This paper develops two conditionally heteroscedastic models which allow an asymmetric reaction of the conditional volatility to the arrival of news. Such a reaction is induced...