M.Sc. Niklas Trimpe

Research Assistant
M.Sc. Niklas Trimpe

M.Sc. Niklas Trimpe

Research Assistant
Niklas Trimpe joined the research team in November 2023. His research focuses on the application of machine learning methods in market microstructure research. Furthermore, he is interested in the areas of algorithmic & high-frequency trading, market regulation and empirical financial market research.

Niklas Trimpe completed his Bachelor's degree in Business Informatics as part of a dual study program in cooperation with Deutsche Bahn. After obtaining his Bachelor's degree, he transferred to Goethe University Frankfurt, where he also completed his Master's degree in Business Informatics. During his studies, Niklas Trimpe was supported by the Deutschlandstipendium scholarship and gained practical experience in in-house consulting at DB Systel, as well as at the management consultancy d-fine in the field of applied AI.

Publications

No VHB Rating

Clapham, Benjamin / Ewald, Florian / Gomber, Peter / Trimpe, Niklas (2024)
Don’t Stop Me Now! Identification and Prediction of Unnecessary Volatility Interruptions
Working Paper, presented at the 29th Forecasting Financial Markets Conference; Oxford, UK

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