A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics
A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics
复制标题
具有X、正则性和渐近性的多元非对称长记忆条件波动模型
DOI:
10.2991/icefs-17.2017.1
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发表时间:
2016
期刊:
影响因子:
--
通讯作者:
M. McAleer
中科院分区:
文献类型:
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作者:
Manabu Asai;M. McAleer
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 asymptotic properties, 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.
DOI:
--
发表时间:
2009
期刊:
Econometrics Journal 12
影响因子:
--
作者:
Asai;Manabu
通讯作者:
Manabu