Felix Akilles Lundén
Ph.D. fellow 4+4
Om
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.