On the test of the volatility proxy model
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Publication:5055216
DOI10.1080/03610918.2020.1836215OpenAlexW3094874664MaRDI QIDQ5055216
ZeFang Song, XingFa Zhang, Chunliang Deng, Yu'an Li
Publication date: 13 December 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1836215
Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)
Cites Work
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- A Simple Test for Heteroscedasticity and Random Coefficient Variation
- Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
- Test for parameter change in ARMA models with GARCH innovations
- Closing the GARCH gap: Continuous time GARCH modeling
- A Lagrange multiplier test for GARCH models
- Efficient estimation in semiparametric GARCH models
- GARCH processes: structure and estimation
- The ZD-GARCH model: a new way to study heteroscedasticity
- Testing for parameter constancy in GARCH\((p,q)\) models
- Generalized autoregressive conditional heteroscedasticity
- GARCH and irregularly spaced data
- A new class of tests for multinormality with i.i.d. And garch data based on the empirical moment generating function
- Temporal aggregation of volatility models
- Robust \(M\)-estimate of GJR model with high frequency data
- Robust Lagrange multiplier test for detecting ARCH/GARCH effect using permutation and bootstrap
- Application of the Generalized Likelihood Ratio Test for Detecting Changes in the Mean of Multivariate GARCH Processes
- Conflict Among Criteria for Testing Hypotheses: Extensions and Comments
- Conflict Among the Criteria Revisited; The W, LR and LM Tests
- 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
- Testing Against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables
- GARCH-type forecasting models for volatility of stock market and MCS test
- Statistic inference for a single-index ARCH-M model
- Modeling and Forecasting Realized Volatility
- The asymptotic theory of linear time-series models
- The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
- Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large
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