Estimating the Copula of a class of Time-Changed Brownian Motions: A non-parametric Approach

Publikation: Working paper/PreprintWorking paperForskning

Abstract

Within a high-frequency framework, we propose a non-parametric approach to estimate a family of copulas associated to a time-changed Brownian motion. We show that our estimator is consistent and asymptotically mixed-Gaussian. Furthermore, we test its finite-sample accuracy via Monte Carlo.
OriginalsprogEngelsk
UdgivelsesstedCornell University
UdgiverarXiv
StatusUdgivet - nov. 2020

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