Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility
DOI10.1080/07474930802467217zbMath1168.62083OpenAlexW2034967606MaRDI QIDQ3394105
Felix T. S. Chan, Suhejla Hoti, Michael McAleer
Publication date: 28 August 2009
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474930802467217
Asymptotic properties of parametric estimators (62F12) Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05)
Related Items (21)
Cites Work
- Unnamed Item
- An econometric analysis of asymmetric volatility: theory and application to patents
- Stationarity of GARCH processes and of some nonnegative time series
- On adaptive estimation in nonstationary ARMA models with GARCH errors
- Generalized autoregressive conditional heteroscedasticity
- Stationarity and the existence of moments of a family of GARCH processes.
- Asymptotic theory for multivariate GARCH processes.
- Realized Volatility and Long Memory: An Overview
- Realized Volatility: A Review
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Vector linear time series models
- On a multivariate conditional heteroscedastic model
- Normalité asymptotique de l'estimateur du pseudo-maximum de vraisemblance d'un modèle GARCH
- NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELS
- Multivariate Stochastic Volatility: An Overview
- Multivariate Stochastic Volatility: A Review
- AUTOMATED INFERENCE AND LEARNING IN MODELING FINANCIAL VOLATILITY
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