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
January 2025
- For the summer term 2025, the Chair of Econometrics seeks to fill the following positions:
December 2024
- The Alfred-Weber Institute at Heidelberg University invites applications for a Postdoc position in Financial or Macro Econometrics. The position is available from April 2025 onward. We invite applications from candidates with a research focus on Financial Econometrics, Forecasting, Macro Econometrics, Time Series Econometrics, or Econometric Theory. Deadline for applications: January 15, 2025.
October 2024
- Julius Schölkopf, together with Lora Pavlova and Alexander Glas (both ZEW Mannheim), have published a SUERF and ZEW Policy Brief on the “Impact of the US Presidential Race on the German Economy: Insights from Professional Forecasters” in which they analyze the impact of the upcoming US presidential election on the German economy. According to data from the ZEW Financial Market Test, financial market experts see a Harris victory as more likely to benefit economic growth in Germany. By contrast, Trump is perceived as pursuing a more isolationist approach and focussing on protectionism. This could hamper Germany’s economic growth potential. Contrary to the economic growth forecasts, the inflation expectations for Germany hardly vary between the two candidates. While German financial market experts anticipate a weak inflationary pressure from the US, they do not expect inflation rates to differ significantly depending on the election outcome. Press echoes:
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.