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Periodic Ornstein-Uhlenbeck processes driven by Lévy processes

Published online by Cambridge University Press:  14 July 2016

Jan Pedersen*
Affiliation:
MaPhySto and University of Aarhus
*
Postal address: Department of Mathematical Sciences, University of Aarhus, Ny Munkegade, DK-8000 Aarhus C, Denmark. Email address: jan@imf.au.dk

Abstract

In this paper, the class of periodic Ornstein-Uhlenbeck processes is defined. It is shown that periodic Ornstein-Uhlenbeck processes are stationary Markov random fields and the class of stationary distributions is characterized. In particular, any self-decomposable distribution is the stationary distribution of some periodic Ornstein-Uhlenbeck process. As examples, gamma periodic Ornstein-Uhlenbeck processes and Gaussian periodic Ornstein-Uhlenbeck processes are considered.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2002 

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References

Alabert, A., Ferrante, M., and Nualart, D. (1995). Markov field property of stochastic differential equations. Ann. Prob. 23, 12621288.Google Scholar
Barndorff-Nielsen, O. E., and Shephard, N. (2001). Non-Gaussian Ornstein–Uhlenbeck-based models and some of their uses in financial economics. J. R. Statist. Soc. B 63, 167241.Google Scholar
Grenander, U. (1993). General Pattern Theory. A Mathematical Study of Regular Structures. Oxford University Press.Google Scholar
Hobolth, A., and Jensen, E. B. V. (2000). Modelling stochastic changes in curve shape, with an application to cancer diagnostics. Adv. Appl. Prob. 32, 344362.Google Scholar
Kwakernaak, H. (1975). Periodic linear differential stochastic processes. SIAM J. Control Optimization 13, 400413.Google Scholar
Norris, J. R. (1998). Ornstein–Uhlenbeck processes indexed by the circle. Ann. Prob. 26, 465478.Google Scholar
Nualart, D. (1995). The Malliavin Calculus and Related Topics. Springer, New York.CrossRefGoogle Scholar
Ocone, D. and Pardoux, É. (1989). Linear stochastic differential equations with boundary conditions. Prob. Theory Relat. Fields 82, 489526.Google Scholar
Rælly, S. and Thieullen, M. (2002). A characterization of reciprocal processes via an integration by parts formula on the path space. Prob. Theory Relat. Fields 123, 97120.Google Scholar
Rocha-Arteaga, A., and Sato, K. (2001). Topics in infinitely divisible distributions and Lévy processes. Comun. Téc. I-01–15, CIMAT, Guanajuato.Google Scholar
Sato, K. (1999). Lévy Processes and Infinitely Divisible Distributions. Cambridge University Press.Google Scholar