Events
Starting from a solid theoretical foundation, this course provides students with an understanding of important empirical methods and their application in asset pricing. It covers both the classical approaches based on Fama and MacBeth (1973) and Black, Jensen and Scholes (1972) - which are still widely used in current research - and GMM-based estimation methods. Furthermore, it shows how machine learning approaches can be meaningfully incorporated into modern asset pricing.
The course intends to enable students to plan and carry out empirical research in asset pricing on their own and prepares for an empirical PhD thesis in this area of finance.
Anmeldefrist: 10. Januar 2027
Referent*in / Lecturer
Prof. Dr. Joachim Grammig
Universität Tübingen
joachim.grammig@uni-tuebingen.de
Prof. Dr. Joachim Grammig
Universität Tübingen
joachim.grammig@uni-tuebingen.de
Referent*in / Lecturer
Prof. Dr. Jantje Sönksen
Leibniz Universität Hannover
soenksen@eds.uni-hannover.de
Prof. Dr. Jantje Sönksen
Leibniz Universität Hannover
soenksen@eds.uni-hannover.de
Sprache / Language
Englisch
Ort / Location
MLP CampusAlte Heerstraße 40
69168 Wiesloch
Tickets
Noch 20 Plätze verfügbar.