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D-Index & Metrics

Economics and Finance

D-Index
49
Citations
17804
World Ranking
1407
National Ranking
855

Mathematics

D-Index
54
Citations
17377
World Ranking
819
National Ranking
397

Research.com Recognitions

  • 1992 - Fellow of the American Statistical Association (ASA)

Overview

Ruey S. Tsay is affiliated with the University of Chicago in the United States. The primary areas of research include Economics, Econometrics and Finance.

Their work spans several subfields, notably:

  • Economics and Econometrics
  • Statistics and Probability
  • Artificial Intelligence
  • Finance
  • Management Science and Operations Research

Key topics addressed in their research consist of:

  • Complex Systems and Time Series Analysis
  • Financial Risk and Volatility Modeling
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Time Series Analysis and Forecasting
  • Spectroscopy and Chemometric Analyses
  • Anomaly Detection Techniques and Applications

Tsay has authored or coauthored several recent papers, including:

  • "TSB-UAD," 2022, Proceedings of the VLDB Endowment
  • "Volume under the surface," 2022, Proceedings of the VLDB Endowment
  • "Modeling High-Dimensional Time Series: A Factor Model With Dynamically Dependent Factors and Diverging Eigenvalues," 2020, Journal of the American Statistical Association
  • "Testing serial correlations in high-dimensional time series via extreme value theory," 2020, Journal of Econometrics
  • "Parsimony inducing priors for large scale state-space models," 2021, Journal of Econometrics

Frequently collaborating co-authors include:

  • Zhaoxing Gao (15 joint publications)
  • Daniel Peña (12 joint publications)
  • Pedro A. Morettin (8 joint publications)
  • Shuo-Chieh Huang (6 joint publications)
  • John Paparrizos (5 joint publications)

Publication venues where Tsay regularly contributes include:

  • arXiv (Cornell University), with 17 publications
  • Wiley series in probability and statistics, with 10 publications
  • Journal of Forecasting, with 5 publications
  • Proceedings of the VLDB Endowment, with 3 publications
  • Journal of the American Statistical Association, with 3 publications

Tsay has authored book publications, notably from Wiley:

  • Statistical Learning for Big Dependent Data, 2021

Recognitions include being named a Fellow of the American Statistical Association in 1992.

Best Publications

  • Analysis of Financial Time Series

    Unknown

  • Testing and Modeling Threshold Autoregressive Processes

    Ruey S. Tsay

  • Analysis of Financial Time Series: Tsay/Analysis of Financial Time Series

    Unknown

  • Outliers, Level Shifts, and Variance Changes in Time Series

    Ruey S. Tsay

  • Testing and modeling multivariate threshold models

    Ruey S. Tsay

  • Nonlinearity tests for time series

    Ruey S. Tsay

  • Analysis of Financial Time Series: Tsay/Financial Time Series 3E

    Unknown

  • Functional-Coefficient Autoregressive Models

    Rong Chen;Ruey S. Tsay

  • Time Series Model Specification in the Presence of Outliers

    Ruey S. Tsay

  • Some advances in non‐linear and adaptive modelling in time‐series

    George C. Tiao;Ruey S. Tsay

  • A nonlinear autoregressive conditional duration model with applications to financial transaction data

    Michael Yuanjie Zhang;Jeffrey R. Russell;Ruey S. Tsay

  • Model Specification in Multivariate Time Series

    George C. Tiao;Ruey S. Tsay

  • A Course in Time Series Analysis

    Daniel Peña;George C. Tiao;Ruey S. Tsay

  • Consistent Estimates of Autoregressive Parameters and Extended Sample Autocorrelation Function for Stationary and Nonstationary ARMA Models

    Ruey S. Tsay;George C. Tiao

  • Multivariate Time Series Analysis: With R and Financial Applications

    Ruey S Tsay

  • Forecasting the U.S. Unemployment Rate

    Alan L. Montgomery;Victor Zarnowitz;Ruey S. Tsay;George C. Tiao

  • Conditional Heteroscedastic Time Series Models

    Ruey S. Tsay

  • Limiting properties of the least squares estimator of a continuous threshold autoregressive model

    K. S. Chan;Ruey S. Tsay

  • Nonlinear time-series analysis of stock volatilities

    C. Q. Cao;R. S. Tsay

  • Nonlinear Additive ARX Models

    Rong Chen;Ruey S. Tsay

  • Bayesian Inference and Prediction for Mean and Variance Shifts in Autoregressive Time Series

    Robert E. McCulloch;Ruey S. Tsay

  • True or Spurious Long Memory? A New Test

    Arek Ohanissian;Jeffrey R Russell;Ruey S Tsay

  • Outliers in multivariate time series

    Ruey S. Tsay;Daniel Peña;Alan E. Pankratz

Frequent Co-Authors

Robert E. McCulloch
Robert E. McCulloch Arizona State University
Daniel Peña
Daniel Peña Carlos III University of Madrid
Shiqing Ling
Shiqing Ling Hong Kong University of Science and Technology
Peter C. Young
Peter C. Young Lancaster University
Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University
Robert B. Gramacy
Robert B. Gramacy Virginia Tech
Paul Andrew Mayewski
Paul Andrew Mayewski University of Maine
Cliff I. Davidson
Cliff I. Davidson Syracuse University
Richard E. Honrath
Richard E. Honrath Michigan Technological University
Jun S. Liu
Jun S. Liu Harvard University

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