Continuous time volatility modelling: COGARCH versus Ornstein-Uhlenbeck models
Document type:
Buchbeitrag
Author(s):
Klüppelberg, C., Lindner, A. and Maller, R.
Artist:
Kabanov, Y., Liptser, R. und Stoyanov, J. (Eds.)
Pages contribution:
393-419
Abstract:
We compare the probabilistic properties of the non-Gaussian Ornstein-Uhlenbeck based stochastic volatility model of Barndorff-Nielsen and Shephard (2001) with those of the COGARCH process. The latter is a continuous time
GARCH process introduced by the authors (2004). Many features are shown to be shared by both processes, but differences are pointed out as well. Furthermore, it is shown that the COGARCH process has Pareto like tails under weak regularity conditions.