Daniel Metko

University of Bremen

Daniel Metko, MSc, is a research assistant and PhD student at the University of Bremen in the field of empirical capital market research and derivatives. His research focuses on the application of machine learning methods in the fields of accounting and finance. Prior to his current position, Daniel Metko worked as a quantitative analyst for an investment consultancy.

Articles by Daniel Metko

Original research

Machine learning for categorization of operational risk events using textual description

The authors summarise ways that machine learning can help categorize textual descriptions of operational loss events into Basel II event types.

20 Dec 2022