Testing for nonlinearity in conditional covariances
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Publication:1695687
DOI10.1515/JTSE-2016-0010zbMath1499.62321OpenAlexW2609000430MaRDI QIDQ1695687
Publication date: 7 February 2018
Published in: Journal of Time Series Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/jtse-2016-0010
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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Cites Work
- Copula-based multivariate GARCH model with uncorrelated dependent errors
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- On asymptotic theory for multivariate GARCH models
- Testing for nonlinearity in conditional covariances
- Asymptotic theory for multivariate GARCH processes.
- Multivariate rotated ARCH models
- QML ESTIMATION OF A CLASS OF MULTIVARIATE ASYMMETRIC GARCH MODELS
- Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility
- A Multivariate Threshold Varying Conditional Correlations Model
- Multivariate GARCH Models
- Testing linearity against smooth transition autoregressive models
- Testing and Modeling Multivariate Threshold Models
- SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS
- Modeling Conditional Correlations of Asset Returns: A Smooth Transition Approach
- Multivariate variance targeting in the BEKK-GARCH model
- Exploiting the errors: a simple approach for improved volatility forecasting
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