Maximum entropy test for GARCH models
From MaRDI portal
Publication:1731233
DOI10.1016/j.stamet.2014.05.002zbMath1486.62241OpenAlexW2026060751MaRDI QIDQ1731233
Sangyeol Lee, Siyun Park, Ji-Yeon Lee
Publication date: 13 March 2019
Published in: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.stamet.2014.05.002
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20)
Related Items
On entropy-based goodness-of-fit test for asymmetric Student-t and exponential power distributions ⋮ Goodness‐of‐fit tests for the multivariate Student‐t distribution based on i.i.d. data, and for GARCH observations ⋮ CHARACTERIZATIONS OF MULTINORMALITY AND CORRESPONDING TESTS OF FIT, INCLUDING FOR GARCH MODELS ⋮ Tests for conditional ellipticity in multivariate GARCH models ⋮ Robust maximum entropy test for GARCH models based on a minimum density power divergence estimator ⋮ Tests for multivariate normality -- a critical review with emphasis on weighted $L^2$-statistics ⋮ On entropy goodness-of-fit test based on integrated distribution function ⋮ Bootstrap entropy test for general location-scale time series models with heteroscedasticity ⋮ Omnibus goodness of fit test based on quadratic distance
Cites Work
- Unnamed Item
- The maximum entropy principle: A tool to define new entropies
- Stationarity of GARCH processes and of some nonnegative time series
- Strict stationarity of generalized autoregressive processes
- On the Bickel-Rosenblatt test for first-order autoregressive models
- A maximum entropy type test of fit
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- On residual empirical processes of stochastic regression models with applications to time series
- Efficiency comparisons of maximum-likelihood-based estimators in GARCH models
- Specification tests for the error distribution in GARCH models
- Bootstrap based goodness-of-fit-tests
- A note on the Jarque-Bera normality test for GARCH innovations
- Weak convergence of the sample distribution function when parameters are estimated
- PARAMETER ESTIMATION IN NONLINEAR AR–GARCH MODELS
- Asymptotic Statistics
- Asymptotic Bias for Quasi-Maximum-Likelihood Estimators in Conditional Heteroskedasticity Models