How long does the surplus stay close to its historical high?
Bo Li, Yun Hua, Xiaowen Zhou

TL;DR
This paper derives Laplace transforms for the weighted occupation times of a spectrally negative Lévy process relative to its maximum, using generalized scale functions, with simplified expressions for step functions.
Contribution
It introduces explicit formulas for the Laplace transforms of weighted occupation times using generalized scale functions, advancing the analysis of spectrally negative Lévy processes.
Findings
Explicit Laplace transform formulas derived
Simplified expressions for step weight functions provided
Enhanced understanding of occupation times near process maxima
Abstract
In this paper we find the Laplace transforms of the weighted occupation times for a spectrally negative L\'evy surplus process to spend below its running maximum up to the first exit times. The results are expressed in terms of generalized scale functions. For step weight functions, the Laplace transforms can be further expressed in terms of scale functions.
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Probability and Risk Models · Supply Chain and Inventory Management
