Modelling volatility dependence with score copula models

Abstract: I study score-driven models for modelling high persistence dependence between financial volatility series. I model this persistence dependence with two components, one for the long memory and the other for the short-term process. The addition of components offers a parsimonious solution for modelling high persistence and also allows for a short-term component for the transient shocks. I apply the model to emerging equities in the Americas. The estimates are robust to the advent of the pandemic. In addition, data resampling and marginal alternatives deliver similar parameter estimates. The proposed two-component model improves the in-sample diagnostics and generates more accurate out-of-sample forecasts.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Modelling volatility dependence with score copula models ; volume:27 ; number:5 ; year:2022 ; pages:649-668 ; extent:20
Studies in nonlinear dynamics and econometrics ; 27, Heft 5 (2022), 649-668 (gesamt 20)

Creator
Alanya-Beltran, Willy

DOI
10.1515/snde-2022-0006
URN
urn:nbn:de:101:1-2023122113093906691796
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:35 AM CEST

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Associated

  • Alanya-Beltran, Willy

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