Prof. Dr. Vitor Azevedo
Vitor is a professor at the Chair of Financial Management at RPTU Kaiserslautern-Landau. He earned his Ph.D. in finance, graduating summa cum laude from the Technical University of Munich (TUM). His tenure at TUM extended beyond his doctoral studies, serving as a postdoctoral researcher (Akademischer Rat) from 2018 to 2021. His research primarily focuses on empirical asset pricing, behavioral finance, sustainable finance, and quantitative finance. He is particularly noted for applying artificial intelligence and machine learning techniques in asset pricing and other financial applications. Vitor is also affiliated with the German Research Center for Artificial Intelligence (DFKI), where he contributes to the Department of Data Science and its Applications (DSA). Before joining TUM, Vitor's professional background included roles in the financial markets as a portfolio manager and stockbroker.
Personal website (link here).
Background
Academic Career
| Since 2021 | W2-Professor of Financial Management, Faculty of Business Studies and Economics, RPTU Kaiserslautern-Landau | |
| 2019 | Research stay at Yale School of Management, Yale, New Haven, Connecticut (United States) | |
| 2018-2021 | Postdoctoral Researcher (Akademischer Rat), Technical University of Munich, Department of Financial Management and Capital Markets (Prof. Dr. Christoph Kaserer) | |
| 2015-2018 | PhD, TUM School of Management, Technical University of Munich, Department of Financial Management and Capital Markets (Prof. Dr. Christoph Kaserer), Thesis Title: The Role of Earnings Forecasts in Asset Pricing Models and Estimates of Cost of Capital | |
| 2014 | Interim Professor, State University of Santa Catarina, Florianópolis (Brazil) | |
| 2012-2014 | Interim Professor, Federal University of Santa Catarina, Florianópolis (Brazil) |
Practical and Entrepreneurial Background
| 2010-2012 | Portfolio Manager, Somma Investiments (Asset Management), Florianópolis (Brazil) | |
| 2008-2010 | Stockbroker, XP Investimentos / Banif Invest, Florianópolis (Brazil) |
Further Information
- Analyst recommendations and mispricing across the globe, with Sebastian Müller, Journal of Banking and Finance, 2024.
- Stock market anomalies and machine learning across the globe, with Georg Sebastian Kaiser and Sebastian Müller, Journal of Asset Management, 2023.
- Analysts' underreaction and momentum strategies, Journal of Economic Dynamics and Control, 2023.
- Enhancing stock market anomalies with machine learning, with Christopher Hoegner, Review of Quantitative Finance and Accounting, 2022.
- Investor Sentiment and the Time-varying Sustainability Premium, with Christoph Kaserer and Lucila M. S. Campos, Journal of Asset Management, 2021.
- Earnings forecasts: the case for combining analysts’ estimates with a cross-sectional model, with Patrick Bielstein and Manuel Gerhart, Review of Quantitative Finance and Accounting, 2020.
- Combination of forecasts for the price of crude oil on the spot market, with Lucila M. S. Campos, International Journal of Production Research, 2016.
- The Expected Returns of Machine-Learning Strategies, with Mihail Velikov.
- Mispricing Decomposition and Global Mispricing Index, with Mighui Chen, Christoph Kaserer, and Sebastian Müller.
Contact
Fachbereich Wirtschaftswissenschaften
Gottlieb-Daimler-Straße
Gebäude 42, Raum 364
67663 Kaiserslautern
Tel.: +49 (0) 631 / 205 4105
E-Mail: vitor.azevedo(at)rptu.de
Office hours by appointment with the secretariat