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 2022-08-01 to 2026-08-01.)
ArticleCitations
Issue Information17
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New associate editors15
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models12
Issue Information12
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S&P 500 microstructure noise components: empirical inferences from futures and ETF prices11
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations10
A Conditional Tail Expectation Type Risk Measure for Time Series10
Editorial Announcement10
Mode Meets Mean: A New Robust Volatility9
Issue Information9
Recent Developments in Time‐Series Methods for Detecting Bubbles and Crashes: Guest Editors' Introduction8
Online Detection of Forecast Model Inadequacies Using Forecast Errors7
Stationary Jackknife7
The Liquidity Uncertainty Premium Puzzle7
Additive autoregressive models for matrix valued time series7
Empirical likelihood for martingale differences7
Statistical Inference for Periodic Asymmetric Power GARCH Models6
Inference for calendar effects in microstructure noise6
Measuring the Degree of Distribution Changes Under Local Stationarity6
A Note on Local Polynomial Regression for Time Series in Banach Spaces6
Estimation of the Long‐Run Variance of Nonlinear Time Series With an Application to Change Point Analysis6
Tail index estimation for tail adversarial stable time series with an application to high‐dimensional tail clustering6
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis5
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces5
Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency5
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Dynamic deconvolution and identification of independent autoregressive sources5
On buffered moving average models5
Consistency of averaged impulse response estimators in vector autoregressive models5
Smoothing Spline Semi‐Parametric Non‐Gaussian Structural Vector Autoregressive Models4
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm4
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity4
Testing and Estimation of Change Point in ARMA Model With Heavy‐Tailed G‐GARCH Noises4
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios4
Noising the GARCH Volatility: A Random Coefficient GARCH Model4
Permutation Testing for Monotone “Trend”4
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Inference in Coarsened Time Series via Generalized Method of Moments4
Test of change point versus long‐range dependence in functional time series4
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Statistical analysis of irregularly spaced spatial data in frequency domain4
Issue Information4
Editorial announcement4
The Gaussian Central Limit Theorem for a Stationary Time Series With Infinite Variance4
Poisson count time series4
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Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification3
Mean‐preserving rounding integer‐valued ARMA models3
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Inverse Autocovariance Estimates3
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Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates3
Sparse Causal Dynamic Linear Regression3
Bootstrapping non‐stationary and irregular time series using singular spectral analysis3
Issue Information3
Tests for Changes in Count Time Series Models With Exogenous Covariates3
Issue Information3
Editorial Announcement3
A new heteroskedasticity‐robust test for explosive bubbles2
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20232
Towards Identification of Shocks in Linear State‐Space Models: Application to Stochastic Volatility Model2
On Selection of Cross‐Section Averages in Non‐Stationary Environments2
Portmanteau tests for periodic ARMA models with dependent errors2
On Testing for Independence Between Generalized Error Models of Several Time Series2
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties2
Testing for Rough Volatility When Prices Are Purely Discontinuous2
Sequential Detector Statistics for Speculative Bubbles2
On Exponential‐Family INGARCH Models2
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility2
Self‐Normalized KPSS Tests With Power Enhancement2
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test2
Estimation for conditional moment models based on martingale difference divergence2
Issue Information2
Gradual Changes in Functional Time Series2
A new portmanteau test for predictive regression models with possible embedded endogeneity2
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Testing covariance separability for continuous functional data2
Estimation on unevenly spaced time series2
Transformed‐Linear Models for Time Series Extremes2
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting2
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Blockwise Empirical Likelihood and Efficiency for Markov Chains2
Corrigendum to the article “Regular multidimensional stationary time series”2
On vector linear double autoregression2
Detecting Periodicity of a General Stationary Time Series via AR(2)‐Model Fitting2
On highly skewed fractional log‐stable noise sequences and their application2
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models2
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Multiple Chains Markov Switching Vector Autoregression2
Latent Gaussian Dynamic Factor Modeling and Forecasting for Multivariate Count Time Series2
Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models2
Issue Information2
Time‐Varying Dispersion Integer‐Valued GARCH Models2
Directed graphs and variable selection in large vector autoregressive models2
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients2
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models2
Portmanteau Tests for Functional Weak White Noise: Spherical Autocorrelation and Bootstrap Approximation2
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series2
Issue Information2
Time Series Models on Compact Spaces, With an Application to Dynamic Modeling of Relative Abundance Data in Ecology1
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes1
The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach1
A new estimator for LARCH processes1
Corrigendum: Error bounds and asymptotic expansions for Toeplitz product functionals of unbounded spectra1
Nonparametric Detection of a Time‐Varying Mean1
Threshold Network GARCH Model1
Local quadratic spectral and covariance matrix estimation1
The Dynamic, the Static, and the Weak: Factor Models and the Analysis of High‐Dimensional Time Series1
A Stochastic Tree for Bubble Asset Modelling and Pricing1
A Novel Test for the Presence of Local Explosive Dynamics1
Detecting relevant changes in the spatiotemporal mean function1
Testing in GARCH‐X models: boundary, correlations and bootstrap theory1
Estimation for Markov Chains with Periodically Missing Observations1
Optimal estimating function for weak location‐scale dynamic models1
Special Issue of the Journal of Time Series Analysis in Honor of Professor Masanobu Taniguchi1
Stochastic local and moderate departures from a unit root and its application to unit root testing1
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Testing Distributional Granger Causality With Entropic Optimal Transport1
Issue Information1
Change Point Detection in the Distribution of the Errors in Dynamic Linear Models1
Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection1
Asymmetric stable stochastic volatility models: estimation, filtering, and forecasting1
Announcement: Call for Papers for Special Issue in Honour of Stephen J. Taylor1
Testing Mean Stability of Heteroskedastic Time Series1
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Testing for symmetric correlation matrices with applications to factor models1
Issue Information1
A testing approach to clustering scalar time series1
Density‐Valued ARMA Models by Spline Mixtures1
Oracally Efficient Estimation and Consistent Model Selection for Spatial ARMA Process With Bivariate Trend1
A Robust Topological Framework for Detecting Regime Changes in Multi‐Trial Experiments With Application to Predictive Maintenance1
General estimation results for tdVARMA array models1
Testing for Unspecified Periodicities in Binary Time Series1
Second‐Order Properties of the Convolved Subsampling Method for Time Series1
An Improved Procedure for Retrospectively Dating the Emergence and Collapse of Bubbles1
Issue Information1
Special Issue in Honour of Stephen J. Taylor: Guest Editors' Introduction1
Editorial Announcement1
The Dual Frequency Spectral Density Function of Locally Periodic Stationary Processes With an Application to Testing for Correlation Between Different Frequency Bands of a Time Series1
A Zero Serial Cross‐Correlation Test Before Fitting Heteroscedasticity1
The Continuous‐Time Limit of Quasi Score‐Driven Volatility Models1
Penalized Convex Estimation in Dynamic Location Models1
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System identification using autoregressive Bayesian neural networks with nonparametric noise models1
Constrained Fiducial Inference for Gaussian Models1
Modeling Nonstationary Time Series Using Locally Stationary Basis Processes0
Issue Information0
Quantile Regression Estimation for Poisson Autoregressive Models0
Smooth transition moving average models: Estimation, testing, and computation0
Functional principal component analysis for cointegrated functional time series0
Online Jump and Kink Detection in Segmented Linear Regression: Statistical Optimality Meets Computational Efficiency0
Non‐crossing quantile double‐autoregression for the analysis of streaming time series data0
Fractional Gaussian Noise: Spectral Density and Estimation Methods0
Ridge regularized estimation of VAR models for inference0
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Quantile analysis for financial bubble detection and surveillance0
Band‐Pass Filtering With High‐Dimensional Time Series. A Synthetic Indicator of the Medium‐to‐Long Run Component of Growth0
Estimation of non‐smooth non‐parametric estimating equations models with dependent data0
CAViaR Model Selection via Adaptive Lasso0
Local powers of least‐squares‐based test for panel fractional Ornstein–Uhlenbeck process0
Time Series Quantile Regression Using Random Forests0
Existence of a Periodic and Seasonal INAR Process0
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals0
An Automatic Multi‐Scale Test for Serial Correlation of High‐Dimensional Time Series0
Issue Information0
Estimation of Change Points for Non‐Linear (Auto‐)Regressive Processes Using Neural Network Functions0
A trinomial difference autoregressive process for the bounded ℤ‐valued time series0
Gaussian Approximation for Lag‐Window Estimators and the Construction of Confidence Bands for the Spectral Density0
Special Issue in Honor of Professor Hira Lal Koul0
Autoregressive conditional proportion: A multiplicative‐error model for (0,1)‐valued time series0
Spectral Density Estimation for a Class of Spectrally Correlated Processes0
The Granger–Johansen representation theorem for integrated time series on Banach space0
Forecasting the yield curve: the role of additional and time‐varying decay parameters, conditional heteroscedasticity, and macro‐economic factors0
mixFOCuS: A Communication‐Efficient Online Changepoint Detection Method in Distributed System for Mixed‐Type Data0
Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients0
Fractional stochastic volatility model0
Flexible bivariate INGARCH process with a broad range of contemporaneous correlation0
Understanding Multi‐horizon Forecasts: Identification, Estimation and Testing0
Tensor Changepoint Detection and Eigenbootstrap0
Nonlinear kernel mode‐based regression for dependent data0
A residual‐based nonparametric variance ratio no‐cointegration test0
Issue Information0
Geometric ergodicity and conditional self‐weighted M‐estimator of a GRCAR(p) model with heavy‐tailed errors0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20220
Sequential Outlier Detection in Nonstationary Time Series0
Selecting the number of factors in multi‐variate time series0
Issue Information0
Some recent trends in embeddings of time series and dynamic networks0
Autocorrelation Functions for Point‐Process Time Series0
Local GMM Estimation for Nonparametric Time‐Varying Coefficient Moment Condition Models0
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Robust CDF‐Filtering of a Location Parameter0
Cointegrating Polynomial Regressions With Power Law Trends0
Bootstrapped Multivariate Spectral Test for Goodness‐of‐Fit of Weak Vector Autoregressive Models0
Exact likelihood for inverse gamma stochastic volatility models0
Issue Information0
Quasi‐Likelihood Estimation in Volatility Models for Semi‐Continuous Time Series0
Issue Information0
Panel Threshold Mixed Data Sampling Models With a Covariate‐Dependent Threshold0
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Multiple Changepoint Detection for Non‐Gaussian Time Series0
On a matrix‐valued autoregressive model0
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Local Whittle estimation with (quasi‐)analytic wavelets0
Volatility models for stylized facts of high‐frequency financial data0
Correcting the bias of the sample cross‐covariance estimator0
A nonparametric predictive regression model using partitioning estimators based on Taylor expansions0
Functional Vašiček Model0
Bootstrap prediction inference of nonlinear autoregressive models0
Local Whittle estimation in time‐varying long memory series0
Self‐normalization inference for linear trends in cointegrating regressions0
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Sequential Monitoring for Changes in GARCH(1,1) Models Without Assuming Stationarity0
Moving Sum Procedure for Multiple Change Point Detection in Large Factor Models0
Editorial Announcement: Addendum to Journal of Time Series Analysis Distinguished Authors 20230
High‐Frequency‐Based Volatility Model with Network Structure0
Independent Component Analysis With Heavy Tails Using Distance Covariance0
Tempered functional time series0
Simultaneous Estimation of Stable Parameters for Multiple Autoregressive Processes From Datasets of Nonuniform Sizes0
Wasserstein Auto‐Regressive Models for Modeling Multivariate Distributional Time Series0
Continuous Record Asymptotics for Change‐Point Models0
Editorial announcement0
Autoregressive Hypergraph0
On the Existence of One‐Sided Representations for the Generalised Dynamic Factor Model0
Online Network Change Point Detection With Missing Values and Temporal Dependence0
Bubbles and crashes: A tale of quantiles0
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Editorial Announcement0
Estimation and Inference for Higher‐Order Stochastic Volatility Models With Leverage0
Laurent Series Expansion for MA(∞) Representation of Mixed Causal–Noncausal Autoregressive Processes0
Estimating a common break point in means for long‐range dependent panel data0
Monitoring panels of sparse functional data0
Parametric Time‐Variation in the Unconditional Volatility: Estimation and Inference0
Clustering multivariate time series using energy distance0
Dependence properties of stochastic volatility models0
Estimation of the Intercept Parameter in Integrated Galton–Watson Processes0
Valid Post‐Averaging Inference in AR‐G/GARCH Models0
Editorial Announcement: Journal of Time Series Analysis Distinguished Authors 20250
Editorial Announcement0
Online Randomized Distributionally Robust Forecast Combination for Dependent Data0
Mixed orthogonality graphs for continuous‐time state space models and orthogonal projections0
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Issue Information0
A note on Johansen's rank conditions and the Jordan form of a matrix0
Weighted l1‐Penalized Corrected Quantile Regression for High‐Dimensional Temporally Dependent Measurement Errors0
A first order continuous timeVARwith random coefficients0
Call for Papers: Special Issue on Recent Developments in Time Series Methods for Detecting Bubbles and Crashes0
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