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Professor Mark Trede is a distinguished academic at the Institute of Econometrics and Economic Statistics within the School of Business and Economics at the University of Münster, Germany. His office is located in Room 301 at Am Stadtgraben 9, 48143 Münster, and he can be reached at +49 251 83-25006 or mark.trede@uni-muenster.de.
Professor Trede's research spans multiple areas of econometrics and economic statistics, with particular expertise in time series analysis, stochastic volatility models, copula modeling, and financial market analysis. His work addresses critical issues in income inequality, income mobility, speculative bubbles, and algorithmic pricing. He has made significant contributions to understanding volatility transmission between assets, measurement errors in financial data, and the application of advanced statistical methods to economic problems.
His publication record demonstrates consistent scholarly output over more than two decades, with recent research focusing on spatial earnings inequality, stock market bubbles, volatility transmission, and Bayesian approaches to stochastic volatility modeling. His work often combines theoretical econometric advances with empirical applications to real-world economic and financial phenomena.
Professor Trede leads multiple ongoing research projects including 'Modeling and forecasting financial-market volatility' and 'Bubbles in financial markets,' both active since 2020. He has successfully completed several significant research projects funded by the German Research Foundation (DFG) and the Federal Ministry for Economic Affairs and Energy (BMWE), including studies on inequality dynamics in the life cycle and spatial disparities in French and German labor markets.
He is actively involved in the academic community, organizing and participating in the Economic Research Seminar at the Center for Quantitative Economics (CQE), with upcoming lectures scheduled through 2025 featuring scholars from institutions including the University of Mainz, TU Dortmund University, and the University of Cambridge.
