Research
My research is empirical and quantitative. I work with archival capital-market data and with large volumes of unstructured corporate text, applying natural-language-processing and machine-learning methods to sources that are not designed to be read at scale.
Methodologically I work in Python and Stata, with an emphasis on large-scale textual analysis, mixed-methods designs, and applied AI tooling for research and evaluation workflows.
Publications
Political Affinity and Investors’ Response to the Acquisition Premium in Cross-Border M&A Transactions — A Moderation Analysis
Christian Fieberg, Kerstin Lopatta, Thomas Tammen and Sebastian A. Tideman. Strategic Management Journal, 2021, 42(13): 2477–2492.
Published version of “Political Affinity and Investors’ Response to the Acquisition Premium in Cross-Border M&A Transactions” (opens in a new tab)
Views and Perceptions of Financial Analysts During the Global COVID-19 Pandemic
Alexander Bassen, Othar Kordsachia, Kerstin Lopatta, Thomas Tammen and Ernst-Kenji Alexander. Journal of Sustainable Finance & Investment, 2022: 1–22.
Published version of “Views and Perceptions of Financial Analysts During the Global COVID-19 Pandemic” (opens in a new tab)
