Wiener–Hopf factorization and distribution of extrema for a family of Lévy processes

By Alexey Kuznetsov. 2010

117 citations recorded by the source corpus.

In this paper we introduce a ten-parameter family of L\'{e}vy processes for which we obtain Wiener-Hopf factors and distribution of the supremum process in semi-explicit form. This family allows an arbitrary behavior of small jumps and includes processes similar to the generalized tempered stable, KoBoL and CGMY processes. Analytically it is characterized by the property that the characteristic exponent is a meromorphic function, expressed in terms of beta and digamma functions. We prove that the Wiener-Hopf factors can be expressed as infinite products over roots of a certain transcendental equation, and the density of the supremum process can be computed as an exponentially converging infinite series. In several special cases when the roots can be found analytically, we are able to identify the Wiener-Hopf factors and distribution of the supremum in closed form. In the general case we prove that all the roots are real and simple, and we provide localization results and asymptotic formulas which allow an efficient numerical evaluation. We also derive a convergence acceleration algorithm for infinite products and a simple and efficient procedure to compute the Wiener-Hopf factors for complex values of parameters. As a numerical example we discuss computation of the density of the supremum process.

Subfields: Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/58d4894dbb6e1a3e702a07b914e47007bc3d62f3

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Citations in the corpus

Suprema of Lévy processes (2011, background): “There are numerous other representations for the distribution of Mt, at least in the stable case, see [4, 7, 11, 12, 15, 16, 19, 20, 27, 28, 30, 36].”
Fluctuations of Lévy Processes with Applications (2014, background): “The following theorem, lifted from Kuznetsov et al. (2012), shows some convenient properties that follow from this definition.”
The Theory of Scale Functions for Spectrally Negative Lévy Processes (2011, methodology): “The parameters aj and ρj , which define the Lévy measure via (127), are given as follows (see [62, 63]): in the case of θ-process we have”