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 2021-09-01 to 2025-09-01.)
ArticleCitations
30
New associate editors22
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations12
Issue Information12
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models10
10
Issue Information10
Conditional quantile analysis for realized GARCH models9
Simultaneous inference for autocovariances based on autoregressive sieve bootstrap8
Trend locally stationary wavelet processes7
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices7
Issue Information7
A new volatility model: GQARCH‐ItÔ model7
A Conditional Tail Expectation Type Risk Measure for Time Series7
Asymptotic independence ex machina: Extreme value theory for the diagonal SRE model6
Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods6
The Liquidity Uncertainty Premium Puzzle5
Additive autoregressive models for matrix valued time series5
On buffered moving average models4
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces4
Editorial Announcement: Professor Michael McAleer4
Misspecified semiparametric model selection with weakly dependent observations4
A new GJR‐GARCH model for ℤ‐valued time series4
Inference for calendar effects in microstructure noise4
Empirical likelihood for martingale differences4
Estimation of the Long‐Run Variance of Nonlinear Time Series With an Application to Change Point Analysis4
Recent Developments in Time‐Series Methods for Detecting Bubbles and Crashes: Guest Editors' Introduction4
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
Stationary Jackknife4
Online Detection of Forecast Model Inadequacies Using Forecast Errors4
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm3
3
Dynamic deconvolution and identification of independent autoregressive sources3
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis3
3
Statistical analysis of irregularly spaced spatial data in frequency domain3
3
Noising the GARCH Volatility: A Random Coefficient GARCH Model3
Permutation Testing for Monotone “Trend”3
Editorial announcement3
Consistency of averaged impulse response estimators in vector autoregressive models3
Inverse Autocovariance Estimates2
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios2
2
2
Tests for Changes in Count Time Series Models With Exogenous Covariates2
Issue Information2
A non‐parametric test for multi‐variate trend functions2
Issue Information2
Poisson count time series2
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity2
2
2
Mean‐preserving rounding integer‐valued ARMA models2
Gradual Changes in Functional Time Series2
Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates2
Test of change point versus long‐range dependence in functional time series2
2
Bootstrapping non‐stationary and irregular time series using singular spectral analysis2
Inference in Coarsened Time Series via Generalized Method of Moments2
Editorial Announcement2
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification2
Time‐Varying Dispersion Integer‐Valued GARCH Models2
Generalized binary vector autoregressive processes2
Self‐Normalized KPSS Tests With Power Enhancement1
A new non‐parametric cross‐spectrum estimator1
Estimation on unevenly spaced time series1
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20231
1
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties1
Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models1
On Exponential‐Family INGARCH Models1
Sequential Detector Statistics for Speculative Bubbles1
Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients1
On highly skewed fractional log‐stable noise sequences and their application1
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series1
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test1
A new portmanteau test for predictive regression models with possible embedded endogeneity1
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting1
Issue Information1
Portmanteau tests for periodic ARMA models with dependent errors1
A new heteroskedasticity‐robust test for explosive bubbles1
Estimation and inference in adaptive learning models with slowly decreasing gains1
On vector linear double autoregression1
Issue Information1
Blockwise Empirical Likelihood and Efficiency for Markov Chains1
1
Permutation testing for dependence in time series1
Estimation for conditional moment models based on martingale difference divergence1
Issue Information1
Testing covariance separability for continuous functional data1
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models1
1
Inference in functional factor models with applications to yield curves1
Peaks, gaps, and time‐reversibility of economic time series1
Transformed‐Linear Models for Time Series Extremes1
Latent Gaussian Dynamic Factor Modeling and Forecasting for Multivariate Count Time Series1
1
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility1
Corrigendum to the article “Regular multidimensional stationary time series”1
0.054541826248169