Limit Theorems for Multifractal Products of Geometric Stationary Processes
Denis Denisov, Nikolai Leonenko

TL;DR
This paper studies the multifractal properties of geometric Gaussian and Ornstein-Uhlenbeck processes with long-range dependence, providing conditions for convergence and analyzing their multifractal spectra.
Contribution
It offers new general conditions for $L_q$ convergence and characterizes the multifractal behavior of various geometric processes driven by Lévy motion.
Findings
Established conditions for $L_q$ convergence of multifractal processes.
Analyzed the multifractal spectra and Rényi functions of the processes.
Identified scenarios like log-normal and stable distributions for limiting processes.
Abstract
We investigate the properties of multifractal products of geometric Gaussian processes with possible long-range dependence and geometric Ornstein-Uhlenbeck processes driven by L\'{e}vy motion and their finite and infinite superpositions. We present the general conditions for the convergence of cumulative processes to the limiting processes and investigate their -th order moments and R\'{e}nyi functions, which are nonlinear, hence displaying the multifractality of the processes as constructed. We also establish the corresponding scenarios for the limiting processes, such as log-normal, log-gamma, log-tempered stable or log-normal tempered stable scenarios.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
