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 2021-04-01 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
New associate editors7
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Editorial announcement6
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A new non‐parametric cross‐spectrum estimator5
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Conditional quantile analysis for realized GARCH models5
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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Ridge regularized estimation of VAR models for inference4
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios4
High‐Frequency‐Based Volatility Model with Network Structure3
On highly skewed fractional log‐stable noise sequences and their application3
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
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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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
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
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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