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

VHB B

Clapham, Benjamin / Ewald, Florian / Jakobs, Jenny (2026)
Wokeness on the Line - AI Based Analysis of the Trump Effect on Corporate ESG Communication and Market Reaction
Finance Research Letters, Volume 107, September 2026, 110346

No VHB Rating

Clapham, Benjamin / Ewald, Florian (2026)
The Impact of Bitcoin Spot ETFs on Market Quality and Price Efficiency in Crypto Asset Markets
Working Paper, presented at the 9th Cryptocurrency Research Conference; Santiago, Chile
Clapham, Benjamin / Ewald, Florian / Trimpe, Niklas (2026)
Threshold Transparency and the Magnet Effect of Circuit Breakers: Evidence From a Natural Experiment
Working Paper, (to be) presented at SFA 2026, Palm Springs, USA, DGF 2026, and 31th Forecasting Financial Markets Conference, Milan, Italy, and the 32nd Annual Meeting of the German Finance Association, Duesseldorf, Germany
Clapham, Benjamin / Ewald, Florian / Gomber, Peter (2026)
Retail Order Flow Segmentation, Price Improvements, and Market Quality: Evidence From Xetra Retail
Working Paper, (to be) presented at EFMA 2026, FMA European Conference 2026, AFFI 2026, SFA 2026, DGF 2026, and the 31th Forecasting Financial Markets Conference
Clapham, Benjamin / Ewald, Florian / Jakobs, Jenny (2025)
Wokeness on the Line - AI Based Analysis of the Trump Effect on Corporate ESG Communication and Market Reaction
Working Paper, presented at the 2nd Workshop on Artificial Intelligence in Corporate Finance; Dresden, Germany
Clapham, Benjamin / Ewald, Florian / Gomber, Peter / Trimpe, Niklas (2025)
Don’t Stop Me Now! Identification and Prediction of Unnecessary Volatility Interruptions
Working Paper, presented at SFA 2025, NFA 2025, the 2024 NYSE Microstructure Meets AI Conference, and the 29th Forecasting Financial Markets Conference
Clapham, Benjamin / Ewald, Florian / Gomber, Peter / Trimpe, Niklas (2025)
Identification and Prediction of Unnecessary Volatility Interruptions
efl insights 2/2025

Sponsors

The following sponsors support efl - the Data Science Institute Frankfurt