Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model
From MaRDI portal
Publication:2236868
DOI10.1016/j.jeconom.2020.10.007OpenAlexW3125355978MaRDI QIDQ2236868
Publication date: 26 October 2021
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1907.04147
QMLELagrange multiplier testportmanteau testadaptive inferencesemiparametric BEKK modelsemiparametric GARCH model
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Related Items (3)
Testing and Modelling for the Structural Change in Covariance Matrix Time Series With Multiplicative Form ⋮ Extended Glivenko–Cantelli theorem and L1 strong consistency of innovation density estimator for time-varying semiparametric ARCH model ⋮ Choosing between persistent and stationary volatility
Cites Work
- Unnamed Item
- Modelling volatility by variance decomposition
- Adaptive estimation of autoregressive models with time-varying variances
- Estimation and tests for power-transformed and threshold GARCH models
- Inference and testing on the boundary in extended constant conditional correlation GARCH models
- Testing for unit roots in time series models with non-stationary volatility
- Weak convergence for weighted empirical processes of dependent sequences
- Inference of time-varying regression models
- Efficient estimation of a multivariate multiplicative volatility model
- Volatility forecast comparison using imperfect volatility proxies
- Local linear quantile estimation for nonstationary time series
- GARCH processes: structure and estimation
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Generalized autoregressive conditional heteroscedasticity
- Statistical inference for autoregressive models under heteroscedasticity of unknown form
- Non-standard inference for augmented double autoregressive models with null volatility coefficients
- Normalized least-squares estimation in time-varying ARCH models
- GARCH models without positivity constraints: exponential or log GARCH?
- Statistical inference for time-varying ARCH processes
- Quasi-maximum likelihood estimation in GARCH processes when some coefficients are equal to zero
- Asymptotically Efficient Estimation in the Presence of Heteroskedasticity of Unknown Form
- 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
- Parameter Stability and Semiparametric Inference in Time Varying Auto-Regressive Conditional Heteroscedasticity Models
- TESTING STRICT STATIONARITY WITH APPLICATIONS TO MACROECONOMIC TIME SERIES
- MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS
- Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance
- Inference for Linear Models with Dependent Errors
- Testing the Nullity of GARCH Coefficients: Correction of the Standard Tests and Relative Efficiency Comparisons
- Inference in Arch and Garch Models with Heavy-Tailed Errors
- Convergence of Distributions Generated by Stationary Stochastic Processes
- DETECTING FOR SMOOTH STRUCTURAL CHANGES IN GARCH MODELS
This page was built for publication: Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model