Operator-stable-like Processes
Peter Scheffler, Alexander Schnurr, Daniel Schulte

TL;DR
This paper introduces operator-stable-like processes that locally resemble operator-stable processes but are not necessarily spatially homogeneous, analyzing their existence, path behavior, moments, and variation.
Contribution
It presents the first construction and analysis of operator-stable-like processes, extending stable-like processes to a broader class with non-homogeneous properties.
Findings
Existence of operator-stable-like processes established
Maximal estimates and moment conditions derived
Sample path behavior and p-variation analyzed
Abstract
In the present paper, we introduce so-called operator-stable-like processes. Roughly speaking, they behave locally like operator-stable processes, but they need not to be homogenous in space. Having shown existence for this class of processes, we analyze maximal estimates, the existence of moments, the short- and long-time behavior of the sample paths and -variation. The class introduced here includes stable-like processes as special case.
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