Stationary density function for a random evolution driven by a Markov-switching Ornstein–Uhlenbeck process with finite velocity

Author:

Pogorui Anatoliy A.1,Rodríguez-Dagnino Ramón M.2

Affiliation:

1. Department of Applied Mathematics , Zhytomyr State University , Valyka Berdychivska St. 40, 10008 , Zhytomyr , Ukraine

2. School of Engineering and Sciences , Tecnologico de Monterrey , Av. Eugenio Garza Sada 2501 Sur, C.P. 64849 , Monterrey , N. L. , Mexico

Abstract

Abstract In this paper, we consider a new telegraph process of Ornstein–Uhlenbeck type. The process is obtained by generalizing the telegraph process in a similar manner to how the Ornstein–Uhlenbeck process was obtained from the Wiener process, namely by adding a drift coefficient proportional to a displacement from the origin. This process was first introduced by Ratanov in [N. Ratanov, Ornstein–Uhlenbeck process of bounded variation, Methodol. Comput. Appl. Probab. 23 2021, 925–946]. We obtain the infinitesimal operator of this process and we present formulas for finding its stationary probability density. We consider both the symmetric and asymmetric cases.

Publisher

Walter de Gruyter GmbH

Subject

Statistics and Probability,Analysis

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3. R. J. Elliott, J. Van Der Hoek and W. P. Malcolm, Pairs Trading, Quant. Finance 5 (2005), no. 3, 271–276.

4. V. S. Korolyuk and V. V. Korolyuk, Stochastic Models of Systems, Kluwer Academic, Dordrecht, 1999.

5. V. S. Korolyuk and A. V. Swishchuk, Semi-Markov Random Evolutions and their Application, Kluwer Academic, Dordrecht, 1995.

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