A mixed portmanteau test for ARMA-GARCH models by the quasi-maximum exponential likelihood estimation approach
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Publication:2852494
DOI10.1111/jtsa.12007zbMath1274.62149OpenAlexW1495416314MaRDI QIDQ2852494
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Publication date: 9 October 2013
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/jtsa.12007
model diagnosticsARMA-GARCH modelLAD estimatorquasi-maximum exponential likelihood estimatormixed portmanteau test
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03)
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Cites Work
- Unnamed Item
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- Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models
- Global self-weighted and local quasi-maximum exponential likelihood estimators for ARMA-GARCH/IGARCH models
- Two-stage non Gaussian QML estimation of GARCH models and testing the efficiency of the Gaussian QMLE
- Detecting and diagnostic checking multivariate conditional heteroscedastic time series models
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Generalized autoregressive conditional heteroscedasticity
- Nonlinear time series. Nonparametric and parametric methods
- Least absolute deviations estimation for ARCH and GARCH models
- Score based goodness-of-fit tests for time series
- TESTING FOR WHITE NOISE UNDER UNKNOWN DEPENDENCE AND ITS APPLICATIONS TO DIAGNOSTIC CHECKING FOR TIME SERIES MODELS
- DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED-RESIDUAL AUTOCORRELATIONS
- Diagnostic checking for time series models with conditional heteroscedasticity estimated by the least absolute deviation approach
- Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- On a measure of lack of fit in time series models
- ON THE SQUARED RESIDUAL AUTOCORRELATIONS IN NON-LINEAR TIME SERIES WITH CONDITIONAL HETEROSKEDASTICITY
- Diagnostic checking of nonlinear multivariate time series with multivariate arch errors
- Mixed Portmanteau Tests for Time‐Series Models
- Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
- Diagnostic Checking in ARMA Models With Uncorrelated Errors