M.Sc. Florian Ewald

Research Assistant
M.Sc. Florian Ewald

M.Sc. Florian Ewald

Research Assistant
Florian Ewald joined the efl research team in May 2023. His research focuses on the application of machine learning and deep learning in the context of financial markets. Further, he is interested in the areas of algorithmic and high-frequency trading, market microstructure and market regulation.

Florian completed his Bachelor's degree in Economics and Business Administration (B.Sc.) with a focus in Economics at Goethe University Frankfurt in 2020. In 2023, he obtained a Master's degree in Business Administration (M.Sc.) with a focus in Finance from Goethe University Frankfurt, specializing in electronic securities trading and quantitative analysis of financial markets. In his thesis, he examined the advancement of algorithms for optimal order execution using Deep Reinforcement Learning. Furthermore, he currently pursues a second Master's degree in Business Informatics, concentrating on Machine Learning. During his studies, he completed the "Honors Degree in Artificial Intelligence and Entrepreneurship", a program jointly offered by Goethe University Frankfurt, Philipps University Marburg, and TU Darmstadt.

Since May 2023, Florian Ewald is a research assistant at efl - the Data Science Institute and the chair of e-Finance.

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

Sponsors

The following sponsors support efl - the Data Science Institute Frankfurt