7th Vienna Workshop on High Dimensional Time Series
in Macroeconomics and Finance
IHS, Vienna | 28-29 May 2026
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview | |
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Location: Lecture Room SR 101 IHS 1st floor |
| 10:30am - 12:00pm |
PS-1B Location: Lecture Room SR 101 Estimation and Inference for Cointegrated Systems of Multi-Factor Production Functions: Modelling the Joint Behavior of GDP and Emissions 1: Department of Economics, Analytics and Operations Research, University of Klagenfurt; 2: Institute for Advanced Studies, Vienna Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors TU Wien, Austria Practical estimation methods for high-dimensional multivariate stochastic volatility models McGill University, Canada |
| 1:30pm - 3:00pm |
PS-2BA Location: Lecture Room SR 101 Predicting Energy Demand with Tensor Factor Models 1: University of Bologna, Italy; 2: European Investment Bank Forecasting El Niño/Southern Oscillation (ENSO) using High Dimensional Factor Models 1: University of L'Aquila, Italy; 2: Einaudi Institute for Economics and Finance; 3: Univeristy of Rome Tor Vergata Dynamic Clustering in Multi-Factor Copulas with Hidden Markov Models Erasmus University Rotterdam, Netherlands, The |
| 3:45pm - 5:15pm |
PS-3B Location: Lecture Room SR 101 Power Priors for VARs 1: Bocconi University, Italy; 2: Bocconi University, Italy; 3: Universita Cattolica del Sacro Cuore A Dynamic Horseshoe Process Prior for High-dimensional time-varying parameter models Vienna University of Economics and Business, Austria Scenario Analysis with Multivariate Bayesian Machine Learning Models 1: Vienna University of Economics and Business, Austria; 2: Oesterreichische Nationalbank Adaptive Targeted Predictors for Large-Scale Macroeconomic Forecasting KOF ETH Zürich, Switzerland |
| 10:30am - 12:00pm |
PS-4B Location: Lecture Room SR 101 Bridging Dense and Sparse Models in High-Dimensional Quantile Regression Universitat Pompeu Fabra, Spain High-Dimensional Nonparametric Local Projections 1: The Hong Kong University of Science and Technology; 2: UC Davis and San Francisco FED; 3: Bocconi University; 4: Università Cattolica Convex validation of kernel ridge regression 1: EPFL; 2: Universita' della Svizzera Italiana, Switzerland |
| 1:30pm - 3:00pm |
PS-5B Location: Lecture Room SR 101 Global Interdependencies in Time Series: Bringing together GVAR and Matrix Autoregressive Models Bielefeld University, Germany Score Autoregressive Models 1: Department of Economics, Ca' Foscari University of Venice; 2: Faculty of Economics, Cambridge University; 3: Department of Economics, Ca' Foscari University of Venice Moderate Time-Varying Parameter VARs 1: Örebro University School of Business, Örebro, Sweden.; 2: Fondazione ENI Enrico Mattei, Milan, Italy |
| 3:45pm - 5:45pm |
PS-6B Location: Lecture Room SR 101 Fast Factor Extraction for Mixed Data Types TU Dortmund University, Germany A geometric approach to factor model identification Study Center Gerzensee and University of Basel, Switzerland Infinite Dimensional Factor Spaces by Subspace Methods 1: Department of Statistics and Operations Research, University of Vienna, Austria; 2: Department of Economics, Università di Bologna |
