معرفی
Vitor Azevedo is a Professor at the Department of Financial Management within the School of Business at RPTU Kaiserslautern-Landau since 2021. He previously held Postdoctoral and Interim Professor roles at Technische Universität München (TUM) and Brazilian institutions like State University of Santa Catarina. His research focuses on empirical asset pricing, behavioral finance, and the application of artificial intelligence in financial contexts. He is affiliated with the German Research Center for Artificial Intelligence (DFKI) through its Data Science and its Applications department.
- Education: Ph.D. in Finance (summa cum laude) from TUM
- Industry Experience: Portfolio Manager (2010-2012), Stockbroker (2008-2010)
His research spans empirical asset pricing, behavioral finance, and sustainable finance, with a strong emphasis on machine learning techniques. He has contributed to global studies on market anomalies, analyst recommendations, and sustainability premiums, often leveraging data science to enhance predictive models.
Vitor's work demonstrates a trend toward integrating machine learning with traditional finance theories, addressing mispricing mechanisms, momentum strategies, and crude oil market dynamics. This approach bridges empirical finance and computational methodologies, enabling more robust analysis of market behaviors.
As a reviewer for journals like the Journal of Asset Management and International Journal of Production Research, he contributes to academic discourse. His affiliations include the Data Science and its Applications department at DFKI, reflecting his interdisciplinary focus.
