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 2021-04-01 to 2025-04-01.)
ArticleCitations
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity28
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Count network autoregression10
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Markov Determinantal Point Process for Dynamic Random Sets8
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New associate editors7
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Editorial announcement6
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Conditional quantile analysis for realized GARCH models5
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A new non‐parametric cross‐spectrum estimator5
Ridge regularized estimation of VAR models for inference4
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios4
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations4
Stationarity and ergodicity of Markov switching positive conditional mean models4
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High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models4
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Asymptotic Normality of Bias Reduction Estimation for Jump Intensity Function in Financial Markets3
Simultaneous inference for autocovariances based on autoregressive sieve bootstrap3
Editorial announcement3
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility3
Higher‐order asymptotics of minimax estimators for time series3
Some recent trends in embeddings of time series and dynamic networks3
High‐Frequency‐Based Volatility Model with Network Structure3
On highly skewed fractional log‐stable noise sequences and their application3
Inference in Coarsened Time Series via Generalized Method of Moments2
A prediction perspective on the Wiener–Hopf equations for time series2
On the Relationship between Uhlig Extended and beta‐Bartlett Processes2
Simultaneous Estimation of Stable Parameters for Multiple Autoregressive Processes From Datasets of Nonuniform Sizes2
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Monitoring panels of sparse functional data2
Granger causality tests based on reduced variable information2
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients2
Smooth transition moving average models: Estimation, testing, and computation2
Test of change point versus long‐range dependence in functional time series2
Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions2
Poisson count time series2
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A residual‐based nonparametric variance ratio no‐cointegration test2
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices2
Non‐crossing quantile double‐autoregression for the analysis of streaming time series data2
Regime switching models for circular and linear time series2
TIME SERIES: A FIRST COURSE WITH BOOTSTRAP STARTER, by Tucker S.McElroy and Dimitris N.Politis. Published by CRC Press, 2020. 586 pp. ISBN: 97814398765102
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Existence of a Periodic and Seasonal INAR Process1
Generalized binary vector autoregressive processes1
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Exact likelihood for inverse gamma stochastic volatility models1
Editorial Announcement1
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Simultaneous inference of a partially linear model in time series1
Regular multidimensional stationary time series1
Inverse Autocovariance Estimates1
On the asymptotic behavior of bubble date estimators1
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Periodic autoregressive conditional duration1
Margin‐closed vector autoregressive time series models1
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System identification using autoregressive Bayesian neural networks with nonparametric noise models1
A new volatility model: GQARCH‐ItÔ model1
A multiplicative thinning‐based integer‐valued GARCH model1
Dependence properties of stochastic volatility models1
Autoregressive mixture models for clustering time series1
Bootstrapping non‐stationary and irregular time series using singular spectral analysis1
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Sparsity concepts and estimation procedures for high‐dimensional vector autoregressive models1
Johansen‐type cointegration tests with a Fourier function1
Bubbles and crashes: A tale of quantiles1
Mixing properties of non‐stationary multi‐variate count processes1
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Corrigendum to the article “Regular multidimensional stationary time series”1
On distributional autoregression and iterated transportation1
Stochastic local and moderate departures from a unit root and its application to unit root testing1
On Exponential‐Family INGARCH Models1
Blockwise Empirical Likelihood and Efficiency for Markov Chains1
Mean‐preserving rounding integer‐valued ARMA models1
Fractional gaussian noise: Spectral density and estimation methods0
Testing for a bubble with a stochastically varying explosive coefficient0
Continuous Record Asymptotics for Change‐Point Models0
Testing covariance separability for continuous functional data0
Seasonal functional autoregressive models0
Local quadratic spectral and covariance matrix estimation0
Estimation and inference in adaptive learning models with slowly decreasing gains0
Detecting relevant changes in the spatiotemporal mean function0
A two‐step procedure for testing partial parameter stability in cointegrated regression models0
Consistency of averaged impulse response estimators in vector autoregressive models0
Functional principal component analysis for cointegrated functional time series0
Variable length Markov chain with exogenous covariates0
State Heterogeneity Analysis of Financial Volatility using high‐frequency Financial Data0
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes0
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Clustering multivariate time series using energy distance0
Testing for symmetric correlation matrices with applications to factor models0
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A non‐parametric test for multi‐variate trend functions0
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On the Estimation of Periodicity or Almost Periodicity in Inhomogeneous Gamma Point‐Process Data0
Sequential Monitoring for Changes in GARCH(1,1) Models Without Assuming Stationarity0
Gradual Changes in Functional Time Series0
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis0
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test0
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Selecting the number of factors in multi‐variate time series0
Moment estimators for parameters of Lévy‐driven Ornstein–Uhlenbeck processes0
Permutation testing for dependence in time series0
Asymmetric stable stochastic volatility models: estimation, filtering, and forecasting0
Modeling normalcy‐dominant ordinal time series: An application to air quality level0
Analysis of Crisis Effects via Maximum Entropy Adjustment0
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Preface to the Murray Rosenblatt memorial special issue of JTSA0
Corrigendum to “A Generalised Fractional Differencing Bootstrap for Long Memory Processes” Journal of Time Series Analysis 40: 467‐492 (2019) DOI: 10.1111/jtsa.124600
A new portmanteau test for predictive regression models with possible embedded endogeneity0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20240
Estimation on unevenly spaced time series0
General estimation results for tdVARMA array models0
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm0
A testing approach to clustering scalar time series0
Optimal estimating function for weak location‐scale dynamic models0
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models0
The Granger–Johansen representation theorem for integrated time series on Banach space0
Non‐parametric short‐ and long‐run Granger causality testing in the frequency domain0
Estimation of the empirical risk‐return relation: A generalized‐risk‐in‐mean model0
Special Issue of the Journal of Time Series Analysis in Honor of Professor Masanobu Taniguchi0
Testing the volatility jumps based on the high frequency data0
Spectral Density Estimation for a Class of Spectrally Correlated Processes0
Testing in GARCH‐X models: boundary, correlations and bootstrap theory0
Wasserstein autoregressive models for density time series0
On causal and non‐causal cointegrated vector autoregressive time series0
Seasonal count time series0
Student‐t stochastic volatility model with composite likelihood EM‐algorithm0
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Self‐normalization inference for linear trends in cointegrating regressions0
A nonparametric predictive regression model using partitioning estimators based on Taylor expansions0
A new GJR‐GARCH model for ℤ‐valued time series0
Tempered functional time series0
Local Whittle estimation with (quasi‐)analytic wavelets0
Estimation for conditional moment models based on martingale difference divergence0
Testing for the extent of instability in nearly unstable processes0
Peaks, gaps, and time‐reversibility of economic time series0
Multi‐purpose open‐end monitoring procedures for multivariate observations based on the empirical distribution function0
Statistical analysis of irregularly spaced spatial data in frequency domain0
High‐dimensional sparse multivariate stochastic volatility models0
Generalized covariance‐based inference for models set‐identified from independence restrictions0
A first order continuous timeVARwith random coefficients0
Event‐Day Options0
Flexible bivariate INGARCH process with a broad range of contemporaneous correlation0
A note on the embeddability conditions in the case of integrated carma (2, 1) stochastic process with single and double zero roots0
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Portmanteau test for a class of multivariate asymmetric power GARCH model0
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Announcement: Call for Papers for Special Issue in Honour of Stephen J. Taylor0
A Zero Serial Cross‐Correlation Test Before Fitting Heteroscedasticity0
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting0
An Automatic Multi‐Scale Test for Serial Correlation of High‐Dimensional Time Series0
Editorial Announcement0
Fractional stochastic volatility model0
Jointly determining the state dimension and lag order for Markov‐switching vector autoregressive models0
Autoregressive conditional proportion: A multiplicative‐error model for (0,1)‐valued time series0
Estimating a common break point in means for long‐range dependent panel data0
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Goodness‐of‐fit tests for the multivariate Student‐tdistribution based on i.i.d. data, and for GARCH observations0
Estimation for Markov Chains with Periodically Missing Observations0
Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods0
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces0
Asymptotic independence ex machina: Extreme value theory for the diagonal SRE model0
Self‐Normalized KPSS Tests With Power Enhancement0
Quasi‐Likelihood Estimation in Volatility Models for Semi‐Continuous Time Series0
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Simultaneous variable selection and structural identification for time‐varying coefficient models0
Mean square consistency and improved rate of convergence of generalized subsampling estimator for non‐stationary time series0
Correcting the bias of the sample cross‐covariance estimator0
The Liquidity Uncertainty Premium Puzzle0
A new estimator for LARCH processes0
Nonlinear kernel mode‐based regression for dependent data0
Factor models for high‐dimensional functional time series I: Representation results0
A trinomial difference autoregressive process for the bounded ℤ‐valued time series0
Generalized autoregressive moving average models with GARCH errors0
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Panel Threshold Mixed Data Sampling Models With a Covariate‐Dependent Threshold0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20220
A new heteroskedasticity‐robust test for explosive bubbles0
Local Whittle estimation in time‐varying long memory series0
Trend locally stationary wavelet processes0
Modal volatility function0
Factor models for high‐dimensional functional time series II: Estimation and forecasting0
On buffered moving average models0
A note on Johansen's rank conditions and the Jordan form of a matrix0
Threshold Network GARCH Model0
Bootstrap prediction inference of nonlinear autoregressive models0
Autoregressive density modeling with the Gaussian process mixture transition distribution0
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20230
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Asymmetric linear double autoregression0
Tail index estimation for tail adversarial stable time series with an application to high‐dimensional tail clustering0
Time Series Quantile Regression Using Random Forests0
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Volatility models for stylized facts of high‐frequency financial data0
The spectral analysis of the Hodrick–Prescott filter0
Weighted l1‐Penalized Corrected Quantile Regression for High‐Dimensional Temporally Dependent Measurement Errors0
Double Smoothed Volatility Estimation of Potentially Non‐stationary Jump‐diffusion Model of Shibor0
A Stochastic Tree for Bubble Asset Modelling and Pricing0
An Improved Procedure for Retrospectively Dating the Emergence and Collapse of Bubbles0
On cointegration for processes integrated at different frequencies0
Forecasting the yield curve: the role of additional and time‐varying decay parameters, conditional heteroscedasticity, and macro‐economic factors0
On vector linear double autoregression0
Dynamic deconvolution and identification of independent autoregressive sources0
Aspects of non‐causal and non‐invertible CARMA processes0
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Autoregressive spectral estimates under ignored changes in the mean0
Local GMM Estimation for Nonparametric Time‐Varying Coefficient Moment Condition Models0
Estimation of non‐smooth non‐parametric estimating equations models with dependent data0
Quantile analysis for financial bubble detection and surveillance0
Cointegrating Polynomial Regressions With Power Law Trends0
Mixed orthogonality graphs for continuous‐time state space models and orthogonal projections0
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Corrigendum: Error bounds and asymptotic expansions for Toeplitz product functionals of unbounded spectra0
Inference for calendar effects in microstructure noise0
Regularized estimation of high‐dimensional vector autoregressions with weakly dependent innovations0
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties0
Directed graphs and variable selection in large vector autoregressive models0
Integer‐valued asymmetric garch modeling0
Additive autoregressive models for matrix valued time series0
Inference for high‐dimensional linear models with locally stationary error processes0
Maxima of linear processes with heavy‐tailed innovations and random coefficients0
Weighted discrete ARMA models for categorical time series0
Call for Papers: Special Issue on Recent Developments in Time Series Methods for Detecting Bubbles and Crashes0
Long‐term prediction intervals with many covariates0
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CAViaR Model Selection via Adaptive Lasso0
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Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates0
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Misspecified semiparametric model selection with weakly dependent observations0
Rank test of unit‐root hypothesis with AR‐GARCH errors0
Quantile Regression Estimation for Poisson Autoregressive Models0
Editorial Announcement: Professor Michael McAleer0
Gaussian Approximation for Lag‐Window Estimators and the Construction of Confidence Bands for the Spectral Density0
Understanding Multi‐horizon Forecasts: Identification, Estimation and Testing0
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