Robust Lagrange multiplier test for detecting ARCH/GARCH effect using permutation and bootstrap
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Publication:2856548
DOI10.1002/CJS.11149zbMath1349.62401OpenAlexW2160725414MaRDI QIDQ2856548
Publication date: 29 October 2013
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.11149
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09) Economic time series analysis (91B84)
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Cites Work
- A Simple Test for Heteroscedasticity and Random Coefficient Variation
- Diagnostics for heteroscedasticity in regression
- Simulation-based finite-sample tests for heteroskedasticity and ARCH effects
- Goodness-of-fit tests for copulas: A review and a power study
- Testing for ARCH in the presence of nonlinearity of unknown form in the conditional mean
- Stock returns and hyperbolic distributions
- On bootstrapping two-stage least-squares estimates in stationary linear models
- Testing for strong serial correlation and dynamic conditional heteroskedasticity in multiple regression
- Forecasting and hedging in the foreign exchange markets.
- Bootstrap prediction for returns and volatilities in GARCH models
- Test of fit for a Laplace distribution against heavier tailed alternatives
- Robust directed tests of normality against heavy-tailed alternatives
- Some asymptotic theory for the bootstrap
- Bootstrapping regression models
- A note on Studentizing a test for heteroscedasticity
- A Lagrange multiplier test for GARCH models
- Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative tests
- Bootstrap and randomization tests of some nonparametric hypotheses
- A comparison of the power of some tests for conditional heteroscedasticity
- Sieve bootstrap for time series
- Processes of normal inverse Gaussian type
- A radial basis function artificial neural network test for ARCH
- Testing for ARCH in the presence of a possibly misspecified conditional mean
- Generalized autoregressive conditional heteroscedasticity
- The impulse response function of the long memory GARCH process
- A robust modification of the Jarque-Bera test of normality
- Computationally efficient bootstrap prediction intervals for returns and volatilities in ARCH and GARCH processes
- MODELING MULTIPLE REGIMES IN FINANCIAL VOLATILITY WITH A FLEXIBLE COEFFICIENT GARCH(1,1) MODEL
- The information matrix test in the linear regression with ARMA errors
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Information Matrix Test, Parameter Heterogeneity and ARCH: A Synthesis
- On testing for multivariate ARCH effects in vector time series models
- Understanding Elongation: The Scale Contaminated Normal Family
- BOOTSTRAPPING STATIONARY AUTOREGRESSIVE MOVING‐AVERAGE MODELS
- The bootstrap in hypothesis testing
- Testing Statistical Hypotheses
- Simulation‐based tests for heteroskedasticity in linear regression models: Some further results
- Modeling and Forecasting Realized Volatility
- The Large-Sample Power of Tests Based on Permutations of Observations
- Remarks on a Multivariate Transformation
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