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Titel:

Continuous time volatility modelling: COGARCH versus Ornstein-Uhlenbeck models

Dokumenttyp:
Buchbeitrag
Autor(en):
Klüppelberg, C., Lindner, A. and Maller, R.
Künstler (Werkautoren):
Kabanov, Y., Liptser, R. und Stoyanov, J. (Eds.)
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.
Seitenangaben Beitrag:
393-419
Stichworte:
COGARCH, continuous time GARCH, GARCH, generalised Ornstein-Uhlenbeck process, Lévy process, self-decomposable distribution, stochastic volatility model, tail behaviour
Buchtitel:
Kabanov, Yu., Liptser, R., Stoyanov, J.: The Shiryaev Festschrift: From Stochastic Calculus to Mathematical Finance
Verlag / Institution:
Springer
Verlagsort:
Berlin
Jahr:
2006
Reviewed:
ja
Sprache:
en
WWW:
http://link.springer.com/chapter/10.1007%2F978-3-540-30788-4_21
Semester:
SS 06
Format:
Text
 BibTeX