Inference for Box-Cox Transformed Threshold GARCH Models with Nuisance Parameters

DOI10.1111/j.1467-9469.2012.00805.xzbMath1323.62085OpenAlexW1535087982MaRDI QIDQ2914954

Sangyeol Lee, Taewook Lee

Publication date: 21 September 2012

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2012.00805.x

zbMATH Keywords

consistencyasymptotic normalitynuisance parameterquasi-maximum likelihood estimatorthreshold GARCH modelestimated likelihood estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Non-Markovian processes: estimation (62M09)

Related Items (5)

NM-QELE for ARMA-GARCH models with non-Gaussian innovations ⋮ Bootstrap entropy test for general location-scale time series models with heteroscedasticity ⋮ A new algorithm for maximum likelihood estimation in normal scale-mixture generalized autoregressive conditional heteroskedastic models ⋮ Quantile Regression for Location‐Scale Time Series Models with Conditional Heteroscedasticity ⋮ On the tail index inference for heavy-tailed GARCH-type innovations

Cites Work

• Unnamed Item
• Unnamed Item
• Semiparametric efficient adaptive estimation of asymmetric GARCH models
• Estimation and tests for power-transformed and threshold GARCH models
• Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
• Bayesian estimation of the Gaussian mixture GARCH model
• Note on the consistency of the maximum likelihood estimate for nonidentifiable distributions
• Stationarity of GARCH processes and of some nonnegative time series
• Adaptive estimation in time-series models
• GARCH processes: structure and estimation
• The rate of consistency of the quasi-maximum likelihood estimator.
• On adaptive estimation in nonstationary ARMA models with GARCH errors
• Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
• Stationarity and moment structure for Box-Cox transformed threshold GARCH(1,1) processes
• Kurtosis of GARCH and stochastic volatility models with non-normal innovations
• Generalized autoregressive conditional heteroscedasticity
• Limit theory for the sample autocorrelations and extremes of a GARCH \((1,1)\) process.
• The efficiency of the estimators of the parameters in GARCH processes.
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• ASYMPTOTICS OF THE QMLE FOR A CLASS OF ARCH(q) MODELS
• Stability of nonlinear AR-GARCH models
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
• Multivariate skewt-distribution
• Finite mixture models
• Consistency and Asymptotic Normality of the Quasi-Maximum Likelihood Estimator in IGARCH(1,1) and Covariance Stationary GARCH(1,1) Models
• Asymptotics of the QMLE for Non-Linear ARCH Models
• ASYMPTOTIC INFERENCE FOR NONSTATIONARY GARCH
• Inference in Arch and Garch Models with Heavy-Tailed Errors
• Threshold heteroskedastic models
• Threshold \(\text{Arch}(1)\) processes: Asymptotic inference

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