Chiu and Yin (2005) found the Laplace transform of the last time a
spectrally negative Lévy process, which drifts to ∞, is
below some level. The main motivation for the study of this random
time stems from risk theory: what is the last time the risk
process, modeled by a spectrally negative Lévy process drifting
to ∞, is 0? In this paper we extend the result of Chiu and
Yin, and we derive the Laplace transform of the last time, before
an independent, exponentially distributed time, that a spectrally
negative Lévy process (without any further conditions) exceeds
(upwards or downwards) or hits a certain level. As an application,
we extend a result found in Doney (1991).
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