In his dissertation entitled “Leveraging the Latest Advances in NLP and AI for Asset Pricing,” Breitung uses artificial intelligence and computational linguistics to analyze information processing by investors on global stock markets. It presents techniques to identify unpriced information in stock prices and financial documents. Furthermore, it demonstrates how embedding models can be used to uncover economic relationships and effectively integrate text-based data into forecasting models.
Excellent research environment at TUM Campus Heilbronn
Breitung particularly emphasizes the favorable conditions under which he completed his doctorate: “The TUM Campus Heilbronn offers an excellent research environment with outstanding financial resources and comprehensive support for scientific work. I was particularly impressed by the modern structures, the interdisciplinary atmosphere, and the opportunity to organize my own workshops with leading international researchers — an important contribution to building an global network and promoting scientific exchange.”
He would like to remain in academia in the future and is aiming for a position as an assistant professor: “In the coming years, I would like to further deepen my research in the field of financial markets, in particular through the use of AI, in order to gain new insights into information processing and price formation in capital markets.”