Skip to main content

Fe­lix Akilles Lun­dén

Ph.D. fellow 4+4

About

E-mail
Departments
Department of Finance
Room: SOL/D4.19
Subjects
Mathematics Statistics Finance Investment Securities Machine learning

I design meth­ods for in­form­a­tion flow and risk man­age­ment

My research focuses on the flow of information in financial markets - specifically, how quickly different markets incorporate new information and how this creates dependencies between them. Understanding these dynamics is essential for investors, regulators, and policymakers, as it helps them make better decisions. 

I am motivated by challenges where traditional approaches fall short, and I strive to develop solutions that enhance transparency, improve risk management, and contribute to more stable financial systems. I am particularly interested in the use of machine learning techniques to improve forecasting and data analysis in finance, as well as advancing risk management tools for multi-asset portfolios. Ultimately, I want my research to inform both academic debates and practitioners’ real-world decision-making.