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 2021-11-01 to 2025-11-01.)
ArticleCitations
Issue Information14
12
New associate editors12
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations10
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models10
Editorial Announcement8
Issue Information8
8
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices7
A Conditional Tail Expectation Type Risk Measure for Time Series7
Conditional quantile analysis for realized GARCH models7
Trend locally stationary wavelet processes6
Issue Information6
Mode Meets Mean: A New Robust Volatility6
Online Detection of Forecast Model Inadequacies Using Forecast Errors5
Asymptotic independence ex machina: Extreme value theory for the diagonal SRE model5
Additive autoregressive models for matrix valued time series4
Empirical likelihood for martingale differences4
Rank test of unit‐root hypothesis with AR‐GARCH errors4
Inference for calendar effects in microstructure noise4
Recent Developments in Time‐Series Methods for Detecting Bubbles and Crashes: Guest Editors' Introduction4
Misspecified semiparametric model selection with weakly dependent observations4
Tail index estimation for tail adversarial stable time series with an application to high‐dimensional tail clustering4
On buffered moving average models4
Stationary Jackknife4
The Liquidity Uncertainty Premium Puzzle4
Estimation of the Long‐Run Variance of Nonlinear Time Series With an Application to Change Point Analysis4
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces4
Editorial Announcement: Professor Michael McAleer4
Consistency of averaged impulse response estimators in vector autoregressive models3
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm3
Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency3
3
Dynamic deconvolution and identification of independent autoregressive sources3
Statistical analysis of irregularly spaced spatial data in frequency domain3
Noising the GARCH Volatility: A Random Coefficient GARCH Model3
3
Permutation Testing for Monotone “Trend”3
3
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis3
3
Editorial announcement3
A non‐parametric test for multi‐variate trend functions2
2
Inverse Autocovariance Estimates2
2
Inference in Coarsened Time Series via Generalized Method of Moments2
Tests for Changes in Count Time Series Models With Exogenous Covariates2
Issue Information2
Towards Identification of Shocks in Linear State‐Space Models: Application to Stochastic Volatility Model2
Mean‐preserving rounding integer‐valued ARMA models2
The Gaussian Central Limit Theorem for a Stationary Time Series With Infinite Variance2
Test of change point versus long‐range dependence in functional time series2
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios2
Issue Information2
Editorial Announcement2
2
Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates2
2
2
Poisson count time series2
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity2
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification2
Bootstrapping non‐stationary and irregular time series using singular spectral analysis2
Gradual Changes in Functional Time Series2
Time‐Varying Dispersion Integer‐Valued GARCH Models2
Issue Information2
Blockwise Empirical Likelihood and Efficiency for Markov Chains1
A new non‐parametric cross‐spectrum estimator1
On vector linear double autoregression1
On Selection of Cross‐Section Averages in Non‐Stationary Environments1
A new portmanteau test for predictive regression models with possible embedded endogeneity1
Estimation on unevenly spaced time series1
A new heteroskedasticity‐robust test for explosive bubbles1
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients1
Portmanteau tests for periodic ARMA models with dependent errors1
Testing for Unspecified Periodicities in Binary Time Series1
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series1
Sequential Detector Statistics for Speculative Bubbles1
Issue Information1
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility1
Corrigendum to the article “Regular multidimensional stationary time series”1
On Exponential‐Family INGARCH Models1
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties1
Testing covariance separability for continuous functional data1
Issue Information1
Estimation and inference in adaptive learning models with slowly decreasing gains1
Peaks, gaps, and time‐reversibility of economic time series1
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test1
Transformed‐Linear Models for Time Series Extremes1
Directed graphs and variable selection in large vector autoregressive models1
1
Oracally Efficient Estimation and Consistent Model Selection for Spatial ARMA Process With Bivariate Trend1
On highly skewed fractional log‐stable noise sequences and their application1
Permutation testing for dependence in time series1
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20231
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting1
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models1
Latent Gaussian Dynamic Factor Modeling and Forecasting for Multivariate Count Time Series1
Self‐Normalized KPSS Tests With Power Enhancement1
Inference in functional factor models with applications to yield curves1
Estimation for conditional moment models based on martingale difference divergence1
Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models1
General estimation results for tdVARMA array models1
1
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