Over the past 10-15 years, we have seen a revival of general Levy ´
processes theory as well as a burst of new applications. In the past,
Brownian motion or the Poisson process have been considered as
appropriate models for most applications. Nowadays, the need for more
realistic modelling of irregular behaviour of phen- ena in nature and
society like jumps, bursts, and extremeshas led to a renaissance of the
theory of general Levy ´ processes. Theoretical and applied researchers
in elds asdiverseas quantumtheory, statistical physics, meteorology,
seismology, statistics, insurance, nance, and telecommunication have
realised the enormous exibility of Lev ´ y models in modelling jumps,
tails, dependence and sample path behaviour. L´ evy processes or Levy ´
driven processes feature slow or rapid structural breaks, extremal
behaviour, clustering, and clumping of points.
Toolsandtechniquesfromrelatedbut disctinct mathematical elds, such as
point processes, stochastic integration, probability theory in abstract
spaces, and differ- tial geometry, have contributed to a better
understanding of Le ´vy jump processes. As in many other elds, the
enormous power of modern computers has also changed the view of Levy ´
processes. Simulation methods for paths of Levy ´ p- cesses and
realisations of their functionals have been developed. Monte Carlo
simulation makes it possible to determine the distribution of
functionals of sample paths of Levy ´ processes to a high level of
accuracy.