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2016
DOI: 10.1007/s10959-016-0690-8
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Occupation Times of General Lévy Processes

Abstract: For an arbitrary Lévy process X which is not a compound Poisson process, we are interested in its occupation times. We use a quite novel and useful approach to derive formulas for the Laplace transform of the joint distribution of X and its occupation times. Our formulas are compact, and more importantly, the forms of the formulas clearly demonstrate the essential quantities for the calculation of occupation times of X. It is believed that our results are important not only for the study of stochastic processe… Show more

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Cited by 5 publications
(4 citation statements)
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References 17 publications
(52 reference statements)
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“…With (24) for ω(x) = p + (q − p)1 {x<a} , we here only compare the ratios in Corollary 3 with existing results from [14, Theorem 5 and 6] and [22, Corollary 1 and 2] for c = 0.…”
Section: Examplesmentioning
confidence: 99%
See 2 more Smart Citations
“…With (24) for ω(x) = p + (q − p)1 {x<a} , we here only compare the ratios in Corollary 3 with existing results from [14, Theorem 5 and 6] and [22, Corollary 1 and 2] for c = 0.…”
Section: Examplesmentioning
confidence: 99%
“…[14] focuses on the existence and uniqueness of solution to (1) and some fluctuation identities for X are also established. [15] investigats the occupation times of half lines, [22] identifies the distribution of various functionals related, and [25,24] mainly consider general Lévy process with rational jumps.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In [15], [33], and [34] occupation times of spectrally negative Lévy processes were studied, while in [32] refracted Lévy processes were dealt with; these results are typically occupation times until a first passage time. Occupation times up to a fixed time horizon t have been studied in [25] for spectrally negative Lévy processes and in [45] for a general Lévy process that is not a compound Poisson process. The cases in which X(•) is a Brownian motion, or Markov-modulated Brownian motion have been extensively studied; see e.g.…”
Section: Introductionmentioning
confidence: 99%