Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices

Fuente: arXiv
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Main Authors: Dzuverovic, Emilija, Barigozzi, Matteo
Format: Preprint
Published: 2023
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author Dzuverovic, Emilija
Barigozzi, Matteo
author_facet Dzuverovic, Emilija
Barigozzi, Matteo
contents We introduce a HD DCC-HEAVY class of hierarchical-type factor models for high-dimensional covariance matrices, employing the realized measures built from higher-frequency data. The modelling approach features straightforward estimation and forecasting schemes, independent of the cross-sectional dimension of the assets under consideration, and accounts for sophisticated asymmetric dynamics in the covariances. Empirical analyses suggest that the HD DCC-HEAVY models have a better in-sample fit and deliver statistically and economically significant out-of-sample gains relative to the existing hierarchical factor model and standard benchmarks. The results are robust under different frequencies and market conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2305_08488
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices
Dzuverovic, Emilija
Barigozzi, Matteo
Econometrics
We introduce a HD DCC-HEAVY class of hierarchical-type factor models for high-dimensional covariance matrices, employing the realized measures built from higher-frequency data. The modelling approach features straightforward estimation and forecasting schemes, independent of the cross-sectional dimension of the assets under consideration, and accounts for sophisticated asymmetric dynamics in the covariances. Empirical analyses suggest that the HD DCC-HEAVY models have a better in-sample fit and deliver statistically and economically significant out-of-sample gains relative to the existing hierarchical factor model and standard benchmarks. The results are robust under different frequencies and market conditions.
title Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices
topic Econometrics
url https://arxiv.org/abs/2305.08488