Journal of Time Series Analysis

Papers
(The median citation count of Journal of Time Series Analysis is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
30
New associate editors22
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations12
Issue Information12
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models10
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Conditional quantile analysis for realized GARCH models9
Simultaneous inference for autocovariances based on autoregressive sieve bootstrap8
A new volatility model: GQARCH‐ItÔ model7
A Conditional Tail Expectation Type Risk Measure for Time Series7
Trend locally stationary wavelet processes7
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices7
Issue Information7
Asymptotic independence ex machina: Extreme value theory for the diagonal SRE model6
Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods6
Additive autoregressive models for matrix valued time series5
The Liquidity Uncertainty Premium Puzzle5
Rank test of unit‐root hypothesis with AR‐GARCH errors4
Tail index estimation for tail adversarial stable time series with an application to high‐dimensional tail clustering4
Stationary Jackknife4
Online Detection of Forecast Model Inadequacies Using Forecast Errors4
On buffered moving average models4
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces4
Editorial Announcement: Professor Michael McAleer4
Misspecified semiparametric model selection with weakly dependent observations4
A new GJR‐GARCH model for ℤ‐valued time series4
Inference for calendar effects in microstructure noise4
Empirical likelihood for martingale differences4
Estimation of the Long‐Run Variance of Nonlinear Time Series With an Application to Change Point Analysis4
Recent Developments in Time‐Series Methods for Detecting Bubbles and Crashes: Guest Editors' Introduction4
Consistency of averaged impulse response estimators in vector autoregressive models3
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm3
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Dynamic deconvolution and identification of independent autoregressive sources3
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis3
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Statistical analysis of irregularly spaced spatial data in frequency domain3
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Noising the GARCH Volatility: A Random Coefficient GARCH Model3
Permutation Testing for Monotone “Trend”3
Editorial announcement3
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Bootstrapping non‐stationary and irregular time series using singular spectral analysis2
Inference in Coarsened Time Series via Generalized Method of Moments2
Editorial Announcement2
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification2
Time‐Varying Dispersion Integer‐Valued GARCH Models2
Generalized binary vector autoregressive processes2
Inverse Autocovariance Estimates2
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios2
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Tests for Changes in Count Time Series Models With Exogenous Covariates2
Issue Information2
A non‐parametric test for multi‐variate trend functions2
Issue Information2
Poisson count time series2
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity2
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Mean‐preserving rounding integer‐valued ARMA models2
Gradual Changes in Functional Time Series2
Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates2
Test of change point versus long‐range dependence in functional time series2
A new portmanteau test for predictive regression models with possible embedded endogeneity1
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On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting1
Peaks, gaps, and time‐reversibility of economic time series1
Portmanteau tests for periodic ARMA models with dependent errors1
Latent Gaussian Dynamic Factor Modeling and Forecasting for Multivariate Count Time Series1
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Estimation and inference in adaptive learning models with slowly decreasing gains1
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility1
Corrigendum to the article “Regular multidimensional stationary time series”1
Self‐Normalized KPSS Tests With Power Enhancement1
A new non‐parametric cross‐spectrum estimator1
Issue Information1
Testing covariance separability for continuous functional data1
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties1
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models1
On Exponential‐Family INGARCH Models1
Sequential Detector Statistics for Speculative Bubbles1
Inference in functional factor models with applications to yield curves1
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients1
Transformed‐Linear Models for Time Series Extremes1
On highly skewed fractional log‐stable noise sequences and their application1
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series1
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test1
Estimation on unevenly spaced time series1
Issue Information1
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20231
A new heteroskedasticity‐robust test for explosive bubbles1
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On vector linear double autoregression1
Issue Information1
Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models1
Blockwise Empirical Likelihood and Efficiency for Markov Chains1
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Permutation testing for dependence in time series1
Estimation for conditional moment models based on martingale difference divergence1
Special Issue of the Journal of Time Series Analysis in Honor of Professor Masanobu Taniguchi0
Editorial Announcement0
Mixed orthogonality graphs for continuous‐time state space models and orthogonal projections0
Testing for symmetric correlation matrices with applications to factor models0
Testing for the extent of instability in nearly unstable processes0
Higher‐order asymptotics of minimax estimators for time series0
Editorial announcement0
Flexible bivariate INGARCH process with a broad range of contemporaneous correlation0
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes0
Goodness‐of‐fit tests for the multivariate Student‐tdistribution based on i.i.d. data, and for GARCH observations0
Issue Information0
Multiple Changepoint Detection for Non‐Gaussian Time Series0
Regularized estimation of high‐dimensional vector autoregressions with weakly dependent innovations0
A multiplicative thinning‐based integer‐valued GARCH model0
Estimation of the variance function in structural break autoregressive models with non‐stationary and explosive segments0
Asymmetric linear double autoregression0
Clustering multivariate time series using energy distance0
Oracally Efficient Estimation and Consistent Model Selection for Spatial ARMA Process With Bivariate Trend0
Speculative Bubbles in the Recent AI Boom: Nasdaq and the Magnificent Seven0
Issue Information0
Volatility models for stylized facts of high‐frequency financial data0
A Zero Serial Cross‐Correlation Test Before Fitting Heteroscedasticity0
Issue Information0
Autocorrelation Functions for Point‐Process Time Series0
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals0
Nonlinear kernel mode‐based regression for dependent data0
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Factor models for high‐dimensional functional time series II: Estimation and forecasting0
Estimation of non‐smooth non‐parametric estimating equations models with dependent data0
Estimation of Change Points for Non‐Linear (Auto‐)Regressive Processes Using Neural Network Functions0
Modeling normalcy‐dominant ordinal time series: An application to air quality level0
Nonparametric Detection of a Time‐Varying Mean0
Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients0
Exact likelihood for inverse gamma stochastic volatility models0
A residual‐based nonparametric variance ratio no‐cointegration test0
Self‐normalization inference for linear trends in cointegrating regressions0
Special Issue in Honour of Stephen J. Taylor: Guest Editors' Introduction0
Some recent trends in embeddings of time series and dynamic networks0
A Novel Test for the Presence of Local Explosive Dynamics0
Issue Information0
Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection0
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Testing Mean Stability of Heteroskedastic Time Series0
Weighted l1‐Penalized Corrected Quantile Regression for High‐Dimensional Temporally Dependent Measurement Errors0
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Panel Threshold Mixed Data Sampling Models With a Covariate‐Dependent Threshold0
Johansen‐type cointegration tests with a Fourier function0
Existence of a Periodic and Seasonal INAR Process0
Detecting relevant changes in the spatiotemporal mean function0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20220
Time Series Quantile Regression Using Random Forests0
Announcement: Call for Papers for Special Issue in Honour of Stephen J. Taylor0
Correcting the bias of the sample cross‐covariance estimator0
A first order continuous timeVARwith random coefficients0
System identification using autoregressive Bayesian neural networks with nonparametric noise models0
A note on the embeddability conditions in the case of integrated carma (2, 1) stochastic process with single and double zero roots0
On distributional autoregression and iterated transportation0
mixFOCuS: A Communication‐Efficient Online Changepoint Detection Method in Distributed System for Mixed‐Type Data0
Time Series Models on Compact Spaces, With an Application to Dynamic Modeling of Relative Abundance Data in Ecology0
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Modal volatility function0
Optimal estimating function for weak location‐scale dynamic models0
Mean square consistency and improved rate of convergence of generalized subsampling estimator for non‐stationary time series0
Continuous Record Asymptotics for Change‐Point Models0
Testing for a bubble with a stochastically varying explosive coefficient0
A trinomial difference autoregressive process for the bounded ℤ‐valued time series0
General estimation results for tdVARMA array models0
Multi‐purpose open‐end monitoring procedures for multivariate observations based on the empirical distribution function0
Issue Information0
Non‐parametric short‐ and long‐run Granger causality testing in the frequency domain0
Issue Information0
Inference on nonstationary heavy‐tailed AR processes via model selection0
Long‐term prediction intervals with many covariates0
On cointegration for processes integrated at different frequencies0
Tensor Changepoint Detection and Eigenbootstrap0
Ridge regularized estimation of VAR models for inference0
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Editorial Announcement0
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Local quadratic spectral and covariance matrix estimation0
Dependence properties of stochastic volatility models0
Regime switching models for circular and linear time series0
Tempered functional time series0
A Stochastic Tree for Bubble Asset Modelling and Pricing0
Simultaneous Estimation of Stable Parameters for Multiple Autoregressive Processes From Datasets of Nonuniform Sizes0
An Improved Procedure for Retrospectively Dating the Emergence and Collapse of Bubbles0
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Non‐crossing quantile double‐autoregression for the analysis of streaming time series data0
Estimation and Inference for Higher‐Order Stochastic Volatility Models With Leverage0
The Dynamic, the Static, and the Weak: Factor Models and the Analysis of High‐Dimensional Time Series0
Issue Information0
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Local GMM Estimation for Nonparametric Time‐Varying Coefficient Moment Condition Models0
Cointegrating Polynomial Regressions With Power Law Trends0
Generalized covariance‐based inference for models set‐identified from independence restrictions0
Estimation for Markov Chains with Periodically Missing Observations0
Quantile analysis for financial bubble detection and surveillance0
Fractional gaussian noise: Spectral density and estimation methods0
Directed graphs and variable selection in large vector autoregressive models0
Mixing properties of non‐stationary multi‐variate count processes0
High‐dimensional sparse multivariate stochastic volatility models0
Margin‐closed vector autoregressive time series models0
Stochastic local and moderate departures from a unit root and its application to unit root testing0
Local Whittle estimation in time‐varying long memory series0
Estimating a common break point in means for long‐range dependent panel data0
Spectral Density Estimation for a Class of Spectrally Correlated Processes0
Testing for Unspecified Periodicities in Binary Time Series0
Nonlinear Wavelet Threshold Estimation of Time‐Varying Covariance Matrices in a Log‐Euclidean Manifold0
The spectral analysis of the Hodrick–Prescott filter0
A note on Johansen's rank conditions and the Jordan form of a matrix0
A new estimator for LARCH processes0
On the asymptotic behavior of bubble date estimators0
Geometric ergodicity and conditional self‐weighted M‐estimator of a GRCAR(p) model with heavy‐tailed errors0
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Sequential Monitoring for Changes in GARCH(1,1) Models Without Assuming Stationarity0
Stationarity and ergodicity of Markov switching positive conditional mean models0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20240
Quasi‐Likelihood Estimation in Volatility Models for Semi‐Continuous Time Series0
Call for Papers: Special Issue on Recent Developments in Time Series Methods for Detecting Bubbles and Crashes0
High‐Frequency‐Based Volatility Model with Network Structure0
Understanding Multi‐horizon Forecasts: Identification, Estimation and Testing0
Selecting the number of factors in multi‐variate time series0
Issue Information0
An Automatic Multi‐Scale Test for Serial Correlation of High‐Dimensional Time Series0
Fractional stochastic volatility model0
Issue Information0
Bubbles and crashes: A tale of quantiles0
Simultaneous Detection of Structural Breaks and Outliers in Time Series0
Simultaneous variable selection and structural identification for time‐varying coefficient models0
Functional principal component analysis for cointegrated functional time series0
Smooth transition moving average models: Estimation, testing, and computation0
Threshold Network GARCH Model0
The Granger–Johansen representation theorem for integrated time series on Banach space0
Testing in GARCH‐X models: boundary, correlations and bootstrap theory0
Monitoring panels of sparse functional data0
A testing approach to clustering scalar time series0
Bootstrap prediction inference of nonlinear autoregressive models0
Corrigendum: Error bounds and asymptotic expansions for Toeplitz product functionals of unbounded spectra0
A prediction perspective on the Wiener–Hopf equations for time series0
CAViaR Model Selection via Adaptive Lasso0
Asymmetric stable stochastic volatility models: estimation, filtering, and forecasting0
Decoupling Interday and Intraday Volatility Dynamics With Price Durations0
The Continuous‐Time Limit of Quasi Score‐Driven Volatility Models0
Editorial Announcement: Addendum to Journal of Time Series Analysis Distinguished Authors 20230
Quantile Regression Estimation for Poisson Autoregressive Models0
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