Testing for the Martingale Difference Hypothesis in Multivariate Time Series Models
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Publication:6620920
DOI10.1080/07350015.2021.1889568zbMATH Open1547.6294MaRDI QIDQ6620920
Guochang Wang, Xiao-Feng Shao, Ke Zhu
Publication date: 17 October 2024
Published in: Journal of Business and Economic Statistics (Search for Journal in Brave)
Cites Work
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- Measuring and testing dependence by correlation of distances
- Martingale Approach in the Theory of Goodness-of-Fit Tests
- Generalized spectral tests for the martingale difference hypothesis
- An adaptive empirical likelihood test for parametric time series regression models
- A bootstrapped spectral test for adequacy in weak ARMA models
- Goodness of fit problem and scanning innovation martingales
- Specification tests of parametric dynamic conditional quantiles
- A bootstrap-assisted spectral test of white noise under unknown dependence
- Distribution free goodness-of-fit tests for linear processes
- Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
- Estimation in nonlinear time series models
- Bootstrap procedures under some non-i.i.d. models
- Comparing nonparametric versus parametric regression fits
- Nonparametric model checks for regression
- Testing conditional moment restrictions
- Consistent bootstrap tests of parametric regression functions
- Nonparametric model checks for time series
- Jackknife, bootstrap and other resampling methods in regression analysis
- Spectral tests of the martingale hypothesis under conditional heteroscedasticity
- Martingale transforms goodness-of-fit tests in regression models.
- Bootstrap and wild bootstrap for high dimensional linear models
- A unified approach to validating univariate and multivariate conditional distribution models in time series
- TESTING FOR WHITE NOISE UNDER UNKNOWN DEPENDENCE AND ITS APPLICATIONS TO DIAGNOSTIC CHECKING FOR TIME SERIES MODELS
- CONSISTENT SPECIFICATION TESTING WITH NUISANCE PARAMETERS PRESENT ONLY UNDER THE ALTERNATIVE
- A New Test of the Martingale Difference Hypothesis
- ON THE LACK OF POWER OF OMNIBUS SPECIFICATION TESTS
- Bootstrap Approximations in Model Checks for Regression
- The Multivariate Portmanteau Statistic
- Asymptotic Theory of Integrated Conditional Moment Tests
- Testing and Modeling Multivariate Threshold Models
- Hypothesis Testing in Time Series via the Empirical Characteristic Function: A Generalized Spectral Density Approach
- An Empirical Likelihood Goodness-of-Fit Test for Time Series
- Martingale Difference Divergence Matrix and Its Application to Dimension Reduction for Stationary Multivariate Time Series
- Consistent Testing for Serial Correlation of Unknown Form
- Spectral Density Based Goodness‐of‐Fit Tests for Time Series Models
- Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening
- Modelling Nonlinear Economic Time Series
- The Dependent Wild Bootstrap
- Bootstrapping the Portmanteau Tests in Weak Auto-Regressive Moving Average Models
- Consistent Estimation of Models Defined by Conditional Moment Restrictions
- Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
- Convergence Criteria for Multiparameter Stochastic Processes and Some Applications
- Generalized Spectral Tests for Conditional Mean Models in Time Series with Conditional Heteroscedasticity of Unknown Form
- Goodness-of-Fit Tests for Linear and Nonlinear Time Series Models
- Maximum Likelihood Estimation of Misspecified Models
- Consistent specification testing for conditional moment restrictions
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