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.
Originalsprog | Engelsk |
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Udgivelsessted | Cornell University |
Udgiver | arXiv |
Status | Udgivet - nov. 2020 |