Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics

Authors
Manabu Asai, Michael McAleer
Corresponding Author
Manabu Asai
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.1How to use a DOI?
Keywords
Multivariate conditional volatility, Vector random coefficient autoregressive process, Asymmetry, Long memory, Exogenous variables, Dynamic conditional correlations, Regularity conditions, Asymptotic properties.
Abstract
The paper derives a Multivariate Asymmetric Long Memory conditional volatility model with Exogenous Variables (X), or the MALMX model, with dynamic conditional correlations, appropriate regularity conditions, and associated asymptotic theory. This enables checking of internal consistency and allows valid statistical inferences to be drawn based on empirical estimation. The underlying vector random coefficient autoregressive process, which has well established regularity conditions and associated asymptoticÿproperties, is discussed, and a simple explanation is given as to why only the diagonal BEKK model, and not the Hadamard, triangular or full BEKK models, has regularity conditions and asymptotic properties. Various special cases, including the diagonal BEKK model of Baba et al. (1985) and Engle and Kroner (1995), VARMA-GARCH model of Ling and McAleer (2003), and VARMA-AGARCH model of McAleer et al. (2009), are discussed. There does not seem to have been a derivation of a univariate conditional volatility model with exogenous variables (X) that has dynamic conditional correlations, appropriate regularity conditions, and associated asymptotic theory. Therefore, the derivation of a multivariate conditional volatility model with exogenous variables (X) that has regularity conditions and asymptotic theory would seem to be a significant extension of the existing literature.
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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Manabu Asai
AU  - Michael McAleer
PY  - 2017/01
DA  - 2017/01
TI  - A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 1
EP  - 7
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.1
DO  - https://doi.org/10.2991/icefs-17.2017.1
ID  - Asai2017/01
ER  -