STOCHASTIC PROCESSES AND THEIR APPLICATIONS | 卷:121 |
Stationary solutions of the stochastic differential equation dVt = Vt-dUt + Lt with Levy noise | |
Article | |
Behme, Anita1  Lindner, Alexander1  Maller, Ross2,3  | |
[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Math Stochast, D-38106 Braunschweig, Germany | |
[2] Australian Natl Univ, Ctr Math Anal, Canberra, ACT, Australia | |
[3] Australian Natl Univ, Sch Finance & Appl Stat, Canberra, ACT, Australia | |
关键词: Stochastic differential equation; Levy process; Generalized; Ornstein-Uhlenbeck process; Stochastic exponential; Stationarity; Non causal; Filtration expansion; | |
DOI : 10.1016/j.spa.2010.09.003 | |
来源: Elsevier | |
【 摘 要 】
For a given bivariate Levy process (U-t L-t)(t >= 0) necessary and sufficient conditions for the existence of a strictly stationary solution of the stochastic differential equation dV(t) = dU(t) + dL(t) are obtained Neither strict positivity of the stochastic exponential of U nor independence of V-0 and (U L) is assumed and non-causal solutions may appear The form of the stationary solution is determined and shown to be unique in distribution, provided it exists For non causal solutions a sufficient condition for U and L to remain semimartingales with respect to the corresponding expanded filtration is given (c) 2010 Elsevier B V All rights reserved
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