Functional Limit Theorems for Toeplitz Quadratic Functionals of Continuous time Gaussian Stationary Processes
Shuyang Bai, Mamikon S. Ginovyan, Murad S. Taqqu

TL;DR
This paper proves weak convergence of normalized Toeplitz quadratic functionals of continuous-time Gaussian stationary processes with long-range dependence, establishing both central and non-central limit theorems.
Contribution
It introduces new weak convergence results for Toeplitz quadratic functionals in continuous time, covering both central and non-central limit theorems.
Findings
Weak convergence in C[0,1] for normalized functionals
Establishment of central limit theorems
Derivation of non-central limit theorems
Abstract
\noindent The paper establishes weak convergence in of normalized stochastic processes, generated by Toeplitz type quadratic functionals of a continuous time Gaussian stationary process, exhibiting long-range dependence. Both central and non-central functional limit theorems are obtained.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Financial Risk and Volatility Modeling
