Prof. Dr. Christian Conrad Econometrics
Research at the Chair of Econometrics focuses on developing econometric methods for applications in macroeconomics and finance.
Specifically, the research focuses on measuring, modeling, and forecasting financial market risks, the interaction between macroeconomic developments and financial markets, and the expectation formation of professional forecasters and households. We offer introductory courses on econometrics and data science and advanced courses in macroeconometrics and financial econometrics.
News
April 2025
- Christian Conrad presented the paper “The Perils of Inflation Forecast Targeting” (co-authored with Zeno Enders and Gernot Müller) at the Workshop on Machine Learning Economic Forecasting and Nowcasting, Copenhagen Business School, April 25, 2025.
- Christian Conrad organized a “Macro and Financial Econometrics” workshop at the International Academic Forum Heidelberg on April 23. Eric Ghysels, University of North Carolina at Chapel Hill, delivered a keynote lecture on “Quantum and Quantum-Inspired Maximum Likelihood Estimation and Filtering of Stochastic Volatility Models.”
March 2025
- Christian Conrad organized the "Statistics in Finance" section, which included sessions on "Advances in Financial Modeling: Missing Data, Forecasting, and Risk Assessment" and "Risk Mitigation and Dependence Structures in Financial and Statistical Modeling," at the 7th DAGStat conference at Humboldt University Berlin, March 24-28, 2025.
- Julius Schoelkopf presented the paper "Beyond the Numbers. Professional Forecasters’ Narratives about Inflation and Stock Market Performance” (joint work with Christian Conrad, Michael Weber, and Frank Brückbauer) at the 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat) at Humboldt Universität zu Berlin on March, 25.
- Julius Schoelkopf joined Dan Murphy live on CNBC’s Capital Connection to discuss the macroeconomic situation on Tuesday, March 11, when Wall Street tumbled, as investor concerns over tariffs and recession fears triggered a sell-off. He emphasized the importance of resolving tariff and economic policy uncertainty and noted that markets are paying close attention to upcoming inflation releases to see how the Fed will respond.
HKMetrics
HKMetrics ist eine gemeinsame Initiative von Prof. Dr. Christian Conrad (Universität Heidelberg), Prof Dr. Melanie Schienle (KIT) und Prof. Dr. Carsten Trenkler (Universität Mannheim) und besteht aus einem gemeinsamen Forschungsseminar in Ökonometrie und einem Doktoranden-Workshop, der einmal im Semester stattfindet. Weitere Informationen finden Sie auf der HKMetrics Website.
