Journal of Time Series Analysis

Papers
(The TQCC of Journal of Time Series Analysis is 2. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Issue Information17
15
New associate editors15
High‐Frequency Instruments and Identification‐Robust Inference for Stochastic Volatility Models12
11
Risk parity portfolio optimization under heavy‐tailed returns and dynamic correlations10
Issue Information10
Editorial Announcement10
S&P 500 microstructure noise components: empirical inferences from futures and ETF prices10
Issue Information9
A Conditional Tail Expectation Type Risk Measure for Time Series9
Mode Meets Mean: A New Robust Volatility8
Empirical likelihood for martingale differences7
Recent Developments in Time‐Series Methods for Detecting Bubbles and Crashes: Guest Editors' Introduction7
The Liquidity Uncertainty Premium Puzzle7
Additive autoregressive models for matrix valued time series7
Online Detection of Forecast Model Inadequacies Using Forecast Errors7
Measuring the Degree of Distribution Changes Under Local Stationarity6
Stationary Jackknife6
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
Inference for calendar effects in microstructure noise5
Tail index estimation for tail adversarial stable time series with an application to high‐dimensional tail clustering5
On buffered moving average models5
5
Estimating lagged (cross‐)covariance operators of Lpm‐approximable processes in Cartesian product Hilbert spaces5
Statistical Inference for Periodic Asymmetric Power GARCH Models5
Noising the GARCH Volatility: A Random Coefficient GARCH Model4
Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency4
Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm4
4
Time Series for QFFE: Special Issue of the Journal of Time Series Analysis4
Dynamic deconvolution and identification of independent autoregressive sources4
Permutation Testing for Monotone “Trend”4
Smoothing Spline Semi‐Parametric Non‐Gaussian Structural Vector Autoregressive Models4
Consistency of averaged impulse response estimators in vector autoregressive models4
Statistical analysis of irregularly spaced spatial data in frequency domain4
Issue Information4
Poisson count time series3
Bootstrapping non‐stationary and irregular time series using singular spectral analysis3
Inference in Coarsened Time Series via Generalized Method of Moments3
Inverse Autocovariance Estimates3
3
3
3
The Gaussian Central Limit Theorem for a Stationary Time Series With Infinite Variance3
Testing and Estimation of Change Point in ARMA Model With Heavy‐Tailed G‐GARCH Noises3
3
Editorial announcement3
Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross‐covariances under non‐stationarity and stationarity3
Issue Information3
Test of change point versus long‐range dependence in functional time series3
Non‐causal and non‐invertible ARMA models: Identification, estimation and application in equity portfolios3
Estimation on unevenly spaced time series2
Partial Sums of Almost Overdifferenced, Near‐Stationary Processes With Time‐Varying Properties2
2
Time‐Varying Dispersion Integer‐Valued GARCH Models2
On Testing for Independence Between Generalized Error Models of Several Time Series2
2
Transformed‐Linear Models for Time Series Extremes2
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi‐Varying Coefficient Models With Structure Identification2
Multiple Chains Markov Switching Vector Autoregression2
Tests for Changes in Count Time Series Models With Exogenous Covariates2
Blockwise Empirical Likelihood and Efficiency for Markov Chains2
Statistical inference for GQARCH‐Itô‐jumps model based on the realized range volatility2
Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test2
On Selection of Cross‐Section Averages in Non‐Stationary Environments2
Latent Gaussian Dynamic Factor Modeling and Forecasting for Multivariate Count Time Series2
A new portmanteau test for predictive regression models with possible embedded endogeneity2
A new heteroskedasticity‐robust test for explosive bubbles2
Issue Information2
Testing for Rough Volatility When Prices Are Purely Discontinuous2
Testing of Constant Parameters for Semi‐Parametric Functional Coefficient Models with Integrated Covariates2
Editorial Announcement2
Towards Identification of Shocks in Linear State‐Space Models: Application to Stochastic Volatility Model2
Testing covariance separability for continuous functional data2
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models2
On vector linear double autoregression2
Self‐Normalized KPSS Tests With Power Enhancement2
On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting2
Editorial announcement: Journal of Time Series Analysis Distinguished Authors 20232
Estimation for conditional moment models based on martingale difference divergence2
Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models2
Gradual Changes in Functional Time Series2
Issue Information2
Portmanteau tests for periodic ARMA models with dependent errors2
Mean‐preserving rounding integer‐valued ARMA models2
2
Issue Information2
Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models2
On Exponential‐Family INGARCH Models2
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series2
On highly skewed fractional log‐stable noise sequences and their application2
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