L\'evy models amenable to efficient calculations
Svetlana Boyarchenko, Sergei Levendorski\u{i}

TL;DR
This paper introduces classes of Stieltjes-Lévy processes with specific monotonicity properties, demonstrating their broad applicability and how they enable efficient numerical calculations for Lévy models used in financial mathematics.
Contribution
It defines SL- and sSL-processes based on monotone Lévy densities, showing their relevance to popular Lévy models and facilitating efficient computation of Wiener-Hopf factors.
Findings
SL-processes encompass most popular Lévy models.
Meixner processes are classified as sSL-processes.
Efficient numerical methods are applicable to these classes.
Abstract
In our previous publications (IJTAF 2019, Math. Finance 2020), we introduced a general class of SINH-regular processes and demonstrated that efficient numerical methods for the evaluation of the Wiener-Hopf factors and various probability distributions (prices of options of several types) in L\'evy models can be developed using only a few general properties of the characteristic exponent . Essentially all popular L\'evy processes enjoy these properties. In the present paper, we define classes of Stieltjes-L\'evy processes (SL-processes) as processes with completely monotone L\'evy densities of positive and negative jumps, and signed Stieltjes-L\'evy processes (sSL-processes) as processes with densities representable as differences of completely monotone densities. We demonstrate that 1) all crucial properties of are consequences of the representation…
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
