Journal of Time Series Analysis

Papers
(The TQCC of Journal of Time Series Analysis is 1. 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
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations10
Issue Information10
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models9
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Issue Information9
Conditional quantile analysis for realized GARCH models8
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices8
Simultaneous inference for autocovariances based on autoregressive sieve bootstrap8
Issue Information7
A new volatility model: GQARCH‐ItÔ model6
Trend locally stationary wavelet processes6
A two‐step procedure for testing partial parameter stability in cointegrated regression models6
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
Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods5
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
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
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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
Editorial announcement3
Bootstrapping non‐stationary and irregular time series using singular spectral analysis3
Poisson count time series3
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
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
Corrigendum to the article “Regular multidimensional stationary time series”1
A new estimator for LARCH processes1
General estimation results for tdVARMA array models1
Issue Information1
Regular multidimensional stationary time series1
Estimation for conditional moment models based on martingale difference divergence1
A new non‐parametric cross‐spectrum estimator1
Testing covariance separability for continuous functional data1
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Peaks, gaps, and time‐reversibility of economic time series1
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties1
A new heteroskedasticity‐robust test for explosive bubbles1
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
Time Series Models on Compact Spaces, With an Application to Dynamic Modeling of Relative Abundance Data in Ecology1
On Exponential‐Family INGARCH Models1
Estimation on unevenly spaced 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
Self‐Normalized KPSS Tests With Power Enhancement1
On the Relationship between Uhlig Extended and beta‐Bartlett Processes1
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models1
Estimation and inference in adaptive learning models with slowly decreasing gains1
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20231
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
Optimal estimating function for weak location‐scale dynamic models1
A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes1
1
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients1
Permutation testing for dependence in time series1
On highly skewed fractional log‐stable noise sequences and their application1
A new portmanteau test for predictive regression models with possible embedded endogeneity1
Blockwise Empirical Likelihood and Efficiency for Markov Chains1
On vector linear double autoregression1
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting1
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Inference in functional factor models with applications to yield curves1
Issue Information1
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