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 2021-06-01 to 2025-06-01.)
ArticleCitations
28
New associate editors22
Issue Information10
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations10
Issue Information9
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models9
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Simultaneous inference for autocovariances based on autoregressive sieve bootstrap8
Conditional quantile analysis for realized GARCH models8
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices8
Issue Information7
A two‐step procedure for testing partial parameter stability in cointegrated regression models6
A new volatility model: GQARCH‐ItÔ model6
Trend locally stationary wavelet processes6
Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods5
Asymptotic independence ex machina: Extreme value theory for the diagonal SRE model5
On causal and non‐causal cointegrated vector autoregressive time series5
Empirical likelihood for martingale differences5
The Liquidity Uncertainty Premium Puzzle4
Stationary Jackknife4
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
Consistency of averaged impulse response estimators in vector autoregressive models4
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm4
Additive autoregressive models for matrix valued time series4
Editorial Announcement: Professor Michael McAleer4
Inference for calendar effects in microstructure noise4
A new GJR‐GARCH model for ℤ‐valued time series4
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis4
On buffered moving average models4
Generalized autoregressive moving average models with GARCH errors4
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces4
Misspecified semiparametric model selection with weakly dependent observations4
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Dynamic deconvolution and identification of independent autoregressive sources4
Editorial announcement3
Bootstrapping non‐stationary and irregular time series using singular spectral analysis3
Poisson count time series3
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Inverse Autocovariance Estimates3
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity3
Statistical analysis of irregularly spaced spatial data in frequency domain3
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Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios3
Time‐Varying Dispersion Integer‐Valued GARCH Models2
Test of change point versus long‐range dependence in functional time series2
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Gradual Changes in Functional Time Series2
Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates2
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Mean‐preserving rounding integer‐valued ARMA models2
Tests for Changes in Count Time Series Models With Exogenous Covariates2
Double Smoothed Volatility Estimation of Potentially Non‐stationary Jump‐diffusion Model of Shibor2
Generalized binary vector autoregressive processes2
Inference in Coarsened Time Series via Generalized Method of Moments2
Issue Information2
Editorial Announcement2
Issue Information2
A non‐parametric test for multi‐variate trend functions2
Optimal estimating function for weak location‐scale dynamic models1
Estimation on unevenly spaced time series1
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes1
Self‐Normalized KPSS Tests With Power Enhancement1
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Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models1
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients1
Estimation and inference in adaptive learning models with slowly decreasing gains1
On highly skewed fractional log‐stable noise sequences and their application1
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20231
Blockwise Empirical Likelihood and Efficiency for Markov Chains1
Inference in functional factor models with applications to yield curves1
Issue Information1
Corrigendum to the article “Regular multidimensional stationary time series”1
A new estimator for LARCH processes1
Permutation testing for dependence in time series1
General estimation results for tdVARMA array models1
A new portmanteau test for predictive regression models with possible embedded endogeneity1
Issue Information1
On vector linear double autoregression1
Regular multidimensional stationary time series1
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting1
A new non‐parametric cross‐spectrum estimator1
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Portmanteau tests for periodic ARMA models with dependent errors1
Issue Information1
Directed graphs and variable selection in large vector autoregressive models1
Autoregressive density modeling with the Gaussian process mixture transition distribution1
Estimation for conditional moment models based on martingale difference divergence1
Time Series Models on Compact Spaces, With an Application to Dynamic Modeling of Relative Abundance Data in Ecology1
Testing covariance separability for continuous functional data1
On Exponential‐Family INGARCH Models1
Peaks, gaps, and time‐reversibility of economic time series1
TIME SERIES: A FIRST COURSE WITH BOOTSTRAP STARTER, by Tucker S.McElroy and Dimitris N.Politis. Published by CRC Press, 2020. 586 pp. ISBN: 97814398765101
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties1
On the Relationship between Uhlig Extended and beta‐Bartlett Processes1
A new heteroskedasticity‐robust test for explosive bubbles1
Transformed‐Linear Models for Time Series Extremes1
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test1
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility1
On a matrix‐valued autoregressive model0
The Granger–Johansen representation theorem for integrated time series on Banach space0
Variable length Markov chain with exogenous covariates0
Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients0
On distributional autoregression and iterated transportation0
Preface to the Murray Rosenblatt memorial special issue of JTSA0
Exact likelihood for inverse gamma stochastic volatility models0
An Improved Procedure for Retrospectively Dating the Emergence and Collapse of Bubbles0
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An Automatic Multi‐Scale Test for Serial Correlation of High‐Dimensional Time Series0
A multiplicative thinning‐based integer‐valued GARCH model0
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Autoregressive spectral estimates under ignored changes in the mean0
Testing for the extent of instability in nearly unstable processes0
Estimating a common break point in means for long‐range dependent panel data0
Clustering multivariate time series using energy distance0
System identification using autoregressive Bayesian neural networks with nonparametric noise models0
Issue Information0
Mean square consistency and improved rate of convergence of generalized subsampling estimator for non‐stationary time series0
A note on Johansen's rank conditions and the Jordan form of a matrix0
Testing the volatility jumps based on the high frequency data0
A note on the embeddability conditions in the case of integrated carma (2, 1) stochastic process with single and double zero roots0
Asymptotic Normality of Bias Reduction Estimation for Jump Intensity Function in Financial Markets0
Non‐parametric short‐ and long‐run Granger causality testing in the frequency domain0
Inference for high‐dimensional linear models with locally stationary error processes0
Correcting the bias of the sample cross‐covariance estimator0
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Analysis of Crisis Effects via Maximum Entropy Adjustment0
Quantile Regression Estimation for Poisson Autoregressive Models0
Improved estimation of dynamic models of conditional means and variances0
Call for Papers: Special Issue on Recent Developments in Time Series Methods for Detecting Bubbles and Crashes0
Dependence properties of stochastic volatility models0
Issue Information0
Simultaneous variable selection and structural identification for time‐varying coefficient models0
Regime switching models for circular and linear time series0
A prediction perspective on the Wiener–Hopf equations for time series0
Geometric ergodicity and conditional self‐weighted M‐estimator of a GRCAR(p) model with heavy‐tailed errors0
Factor models for high‐dimensional functional time series I: Representation results0
Fractional gaussian noise: Spectral density and estimation methods0
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Simultaneous Estimation of Stable Parameters for Multiple Autoregressive Processes From Datasets of Nonuniform Sizes0
Long‐term prediction intervals with many covariates0
Special Issue of the Journal of Time Series Analysis in Honor of Professor Masanobu Taniguchi0
Cointegrating Polynomial Regressions With Power Law Trends0
Fractional stochastic volatility model0
Editorial Announcement0
Testing for symmetric correlation matrices with applications to factor models0
Weighted l1‐Penalized Corrected Quantile Regression for High‐Dimensional Temporally Dependent Measurement Errors0
Announcement: Call for Papers for Special Issue in Honour of Stephen J. Taylor0
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Valid Post‐Averaging Inference in AR‐G/GARCH Models0
Tempered functional time series0
A Zero Serial Cross‐Correlation Test Before Fitting Heteroscedasticity0
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High‐Frequency‐Based Volatility Model with Network Structure0
Quasi‐Likelihood Estimation in Volatility Models for Semi‐Continuous Time Series0
State Heterogeneity Analysis of Financial Volatility using high‐frequency Financial Data0
Asymmetric stable stochastic volatility models: estimation, filtering, and forecasting0
Factor models for high‐dimensional functional time series II: Estimation and forecasting0
Sequential Monitoring for Changes in GARCH(1,1) Models Without Assuming Stationarity0
On the asymptotic behavior of bubble date estimators0
mixFOCuS: A Communication‐Efficient Online Changepoint Detection Method in Distributed System for Mixed‐Type Data0
Johansen‐type cointegration tests with a Fourier function0
Inference on nonstationary heavy‐tailed AR processes via model selection0
Issue Information0
Spectral Density Estimation for a Class of Spectrally Correlated Processes0
Regularized estimation of high‐dimensional vector autoregressions with weakly dependent innovations0
Multi‐purpose open‐end monitoring procedures for multivariate observations based on the empirical distribution function0
Simultaneous inference of a partially linear model in time series0
A first order continuous timeVARwith random coefficients0
A Stochastic Tree for Bubble Asset Modelling and Pricing0
Local GMM Estimation for Nonparametric Time‐Varying Coefficient Moment Condition Models0
Maxima of linear processes with heavy‐tailed innovations and random coefficients0
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Panel Threshold Mixed Data Sampling Models With a Covariate‐Dependent Threshold0
Integer‐valued asymmetric garch modeling0
Seasonal count time series0
A residual‐based nonparametric variance ratio no‐cointegration test0
CAViaR Model Selection via Adaptive Lasso0
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Nonlinear kernel mode‐based regression for dependent data0
Smooth transition moving average models: Estimation, testing, and computation0
Markov Determinantal Point Process for Dynamic Random Sets0
Self‐normalization inference for linear trends in cointegrating regressions0
Corrigendum: Error bounds and asymptotic expansions for Toeplitz product functionals of unbounded spectra0
Monitoring panels of sparse functional data0
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Weighted discrete ARMA models for categorical time series0
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Ridge regularized estimation of VAR models for inference0
Non‐crossing quantile double‐autoregression for the analysis of streaming time series data0
Time Series Quantile Regression Using Random Forests0
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Local Whittle estimation in time‐varying long memory series0
Local quadratic spectral and covariance matrix estimation0
Forecasting the yield curve: the role of additional and time‐varying decay parameters, conditional heteroscedasticity, and macro‐economic factors0
Bubbles and crashes: A tale of quantiles0
Threshold Network GARCH Model0
Seasonal functional autoregressive models0
Higher‐order asymptotics of minimax estimators for time series0
Quantile analysis for financial bubble detection and surveillance0
Autoregressive conditional proportion: A multiplicative‐error model for (0,1)‐valued time series0
Continuous Record Asymptotics for Change‐Point Models0
Detecting relevant changes in the spatiotemporal mean function0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20220
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20240
Issue Information0
Modeling normalcy‐dominant ordinal time series: An application to air quality level0
A testing approach to clustering scalar time series0
Generalized covariance‐based inference for models set‐identified from independence restrictions0
Selecting the number of factors in multi‐variate time series0
A trinomial difference autoregressive process for the bounded ℤ‐valued time series0
Stochastic local and moderate departures from a unit root and its application to unit root testing0
Goodness‐of‐fit tests for the multivariate Student‐tdistribution based on i.i.d. data, and for GARCH observations0
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Mixing properties of non‐stationary multi‐variate count processes0
Volatility models for stylized facts of high‐frequency financial data0
Testing Mean Stability of Heteroskedastic Time Series0
Speculative Bubbles in the Recent AI Boom: Nasdaq and the Magnificent Seven0
Count network autoregression0
Modal volatility function0
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Understanding Multi‐horizon Forecasts: Identification, Estimation and Testing0
Granger causality tests based on reduced variable information0
Event‐Day Options0
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Testing for a bubble with a stochastically varying explosive coefficient0
Multiple Changepoint Detection for Non‐Gaussian Time Series0
Stationarity and ergodicity of Markov switching positive conditional mean models0
High‐dimensional sparse multivariate stochastic volatility models0
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Mixed orthogonality graphs for continuous‐time state space models and orthogonal projections0
Some recent trends in embeddings of time series and dynamic networks0
Estimation of the variance function in structural break autoregressive models with non‐stationary and explosive segments0
Margin‐closed vector autoregressive time series models0
Existence of a Periodic and Seasonal INAR Process0
Autoregressive mixture models for clustering time series0
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The spectral analysis of the Hodrick–Prescott filter0
Estimation for Markov Chains with Periodically Missing Observations0
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Estimation of non‐smooth non‐parametric estimating equations models with dependent data0
Testing in GARCH‐X models: boundary, correlations and bootstrap theory0
Bootstrap prediction inference of nonlinear autoregressive models0
Functional principal component analysis for cointegrated functional time series0
Editorial announcement0
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