Change-point estimation in ARCH models
From MaRDI portal
Publication:1572832
DOI10.2307/3318673zbMath0997.62068OpenAlexW2054914474MaRDI QIDQ1572832
Remigijus Leipus, Piotr S. Kokoszka
Publication date: 14 November 2002
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.bj/1081616703
Related Items (55)
Neglecting parameter changes in GARCH models ⋮ A strong convergence rate of estimator of variance change in linear processes and its applications ⋮ Adaptive pointwise estimation in time-inhomogeneous conditional heteroscedasticity models ⋮ High moment partial sum processes of residuals in GARCH models and their applications ⋮ Monitoring disruptions in financial markets ⋮ Asymmetric Volatility Models with Structural Breaks ⋮ On consistency of minimum description length model selection for piecewise autoregressions ⋮ Change detection in the Cox-Ingersoll-Ross model ⋮ Метод обнаружения структурного сдвига в модели авторегрессионной условной гетероскедастичности: случай распределения Стьюдента ⋮ Autoregressive Order Identification for VAR Models with Non Constant Variance ⋮ On Guaranteed Sequential Change Point Detection for TAR(1)/ARCH(1) Process ⋮ Empirical analysis of structural change in credit default swap volatility ⋮ SEQUENTIAL CHANGE-POINT DETECTION IN GARCH(p,q) MODELS ⋮ Monitoring parameter change in linear regression model based on the efficient score vector ⋮ Necessary and sufficient conditions for periodic decaying resolvents in linear discrete convolution Volterra equations and applications to \(\mathrm{ARCH}(\infty)\) processes ⋮ Parameter change tests for ARMA-GARCH models ⋮ On the detection of changes in autoregressive time series. I: Asymptotics. ⋮ Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance ⋮ Heteroscedasticity and Autocorrelation Robust Structural Change Detection ⋮ A new fluctuation test for constant variances with applications to finance ⋮ A bootstrap bias correction of long run fourth order moment estimation in the CUSUM of squares test ⋮ Bayesian modelling of time-varying conditional heteroscedasticity ⋮ Robust Wilcoxon‐Type Estimation of Change‐Point Location Under Short‐Range Dependence ⋮ Long run behaviour of the autocovariance function of ARCH(\(\infty\)) models ⋮ Multiple breaks detection in general causal time series using penalized quasi-likelihood ⋮ Parameter changes in GARCH model ⋮ Monitoring distributional changes of squared residuals in GARCH models ⋮ Serial rank statistics for detection of changes. ⋮ Level changes in volatility models ⋮ Quasi-maximum likelihood estimation for multiple volatility shifts ⋮ Randomised pseudolikelihood ratio change point estimator in GARCH models ⋮ Test for parameter change in ARMA models with GARCH innovations ⋮ Detection of multiple change-points in multivariate time series ⋮ Testing for bubbles and change-points ⋮ A more powerful test identifying the change in mean of functional data ⋮ Powerful tests for structural changes in volatility ⋮ Testing for changes in the mean or variance of a stochastic process under weak invariance ⋮ On the existence of some ARCH\((\infty)\)processes ⋮ Testing for parameter constancy in GARCH\((p,q)\) models ⋮ On Testing Changes in Autoregressive Parameters of a VAR Model ⋮ Tests for Volatility Shifts in Garch Against Long‐Range Dependence ⋮ Weak dependence for infinite ARCH-type bilinear models ⋮ Time-varying NoVaS versus GARCH: point prediction, volatility estimation and prediction intervals ⋮ An efficient algorithm to estimate the change in variance ⋮ Truncating Estimation for the Mean Change-Point in Heavy-Tailed Dependent Observations ⋮ Extensions of some classical methods in change point analysis ⋮ Estimating structural changes in regression quantiles ⋮ Inference for mean change-point in infinite variance \(AR(p)\) process ⋮ An efficient algorithm for estimating a change-point ⋮ Change points in heavy‐tailed multivariate time series: Methods using precision matrices ⋮ Estimation of a change-point in the mean function of functional data ⋮ Break detection in the covariance structure of multivariate time series models ⋮ ECONOMETRIC ANALYSIS OF VOLATILITY COMPONENT MODELS ⋮ Structural breaks in time series ⋮ Simultaneous inference for time-varying models
This page was built for publication: Change-point estimation in ARCH models