Joint asymptotic distribution of certain path functionals of the reflected process
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Published version
Accepted version
Author(s)
Mijatovic, A
Pistorius, MR
Type
Journal Article
Abstract
Let τ(x) be the first time that the reflected process Y of a L´evy process X crosses x > 0. The
main aim of this paper is to investigate the joint asymptotic distribution of Y (t) = X(t) − inf0≤s≤t X(s) and
the path functionals Z(x) = Y (τ(x)) − x and m(t) = sup0≤s≤t Y (s) − y
∗(t), for a certain non-linear curve
y
∗(t). We restrict to L´evy processes X satisfying Cram´er’s condition, a non-lattice condition and the moment
conditions that E[|X(1)|] and E[exp(γX(1))|X(1)|] are finite (where γ denotes the Cram´er coefficient). We
prove that Y (t) and Z(x) are asymptotically independent as min{t, x} → ∞ and characterise the law of the
limit (Y∞, Z∞). Moreover, if y
∗(t) = γ−1
log(t) and min{t, x} → ∞ in such a way that t exp{−γx} → 0, then
we show that Y (t), Z(x) and m(t) are asymptotically independent and derive the explicit form of the joint weak
limit (Y∞, Z∞, m∞). The proof is based on excursion theory, Theorem 1 in [7] and our characterisation of the
law (Y∞, Z∞).
main aim of this paper is to investigate the joint asymptotic distribution of Y (t) = X(t) − inf0≤s≤t X(s) and
the path functionals Z(x) = Y (τ(x)) − x and m(t) = sup0≤s≤t Y (s) − y
∗(t), for a certain non-linear curve
y
∗(t). We restrict to L´evy processes X satisfying Cram´er’s condition, a non-lattice condition and the moment
conditions that E[|X(1)|] and E[exp(γX(1))|X(1)|] are finite (where γ denotes the Cram´er coefficient). We
prove that Y (t) and Z(x) are asymptotically independent as min{t, x} → ∞ and characterise the law of the
limit (Y∞, Z∞). Moreover, if y
∗(t) = γ−1
log(t) and min{t, x} → ∞ in such a way that t exp{−γx} → 0, then
we show that Y (t), Z(x) and m(t) are asymptotically independent and derive the explicit form of the joint weak
limit (Y∞, Z∞, m∞). The proof is based on excursion theory, Theorem 1 in [7] and our characterisation of the
law (Y∞, Z∞).
Date Issued
2016-05-23
Date Acceptance
2016-05-09
Citation
Electronic Communications in Probability, 2016, 21
ISSN
1083-589X
Publisher
Institute of Mathematical Statistics (IMS)
Journal / Book Title
Electronic Communications in Probability
Volume
21
Copyright Statement
This paper is made available under a Creative Commons Attribution 4.0 International License.
Subjects
Statistics & Probability
0104 Statistics
Publication Status
Published
Article Number
43