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
“…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%
“…During the last several years there have been a series of papers concerning occupation time related problems for SNLP. These problems arise from both theoretical interests and the applications in risk theory and finance; see for example [6,16,21,18,19,17,15,22,25,24]. Among them using a perturbation approach, [16] studies the occupation times of semi-infinite intervals.…”
For refracted spectrally negative Lévy processes, we identify expressions of several quantities related to Laplace transforms on their weighted occupation times until first exit times. Such quantities are expressed in terms of unique solutions to integral equations involving weight functions and scale functions for the associated spectrally negative Lévy processes. Previous results on refracted Lévy processes are recovered.
“…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%
“…During the last several years there have been a series of papers concerning occupation time related problems for SNLP. These problems arise from both theoretical interests and the applications in risk theory and finance; see for example [6,16,21,18,19,17,15,22,25,24]. Among them using a perturbation approach, [16] studies the occupation times of semi-infinite intervals.…”
For refracted spectrally negative Lévy processes, we identify expressions of several quantities related to Laplace transforms on their weighted occupation times until first exit times. Such quantities are expressed in terms of unique solutions to integral equations involving weight functions and scale functions for the associated spectrally negative Lévy processes. Previous results on refracted Lévy processes are recovered.
“…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.…”
This paper presents a set of results relating to the occupation time α(t) of a process X(·). The rst set of results concerns exact characterizations of α(t), e.g., in terms of its transform up to an exponentially distributed epoch. In addition we establish a central limit theorem (entailing that a centered and normalized version of α(t)/t converges to a zero-mean Normal random variable as t → ∞) and the tail asymptotics of P(α(t)/t ≥ q). We apply our ndings to spectrally positive Lévy processes re ected at the in mum and establish various new occupation time results for the corresponding model.We consider a stochastic process X(·) ≡ {X(t) : t ≥ 0} taking values on the state space E, and a partition of E into two disjoint subsets, denoted by A and B, i.e., E = A∪B and A∩B = ∅. Then, X(·) alternates between A and B. The successive sojourn times in A are (D i ) i∈N , and those in B are (U i ) i∈N . If (D i ) i∈N and (U i ) i∈N are independent sequences of i.i.d. random variables, the resulting process is an alternating renewal process,
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