Stochastic volatility: likelihood inference and comparison with ARCH models.

Stochastic volatility models present a natural way of working with time-varying volatility. However the difficulty involved in estimating these types of models has prevented their wide-spread use in empirical applications. In this paper we exploit Gibbs sampling to provide a likelihood framework for...

詳細記述

書誌詳細
主要な著者: Kim, S, Shephard, N
フォーマット: Working paper
言語:English
出版事項: Nuffield College (University of Oxford) 1994