Luka Vulicevic

Luka Vulicevic’s research is at the intersection of asset pricing and the econometrics of large language models (LLMs). By addressing methodological challenges associated with using LLMs—such as lookahead bias and statistical inference—he seeks to leverage LLMs to improve our understanding of financial markets, investor behavior, and the role of alternative data in asset pricing. Vulicevic earned his Master of Financial Economics from the University of Toronto and previously completed his Bachelor of Commerce at the University of Guelph. Before joining the Rady School, Vulicevic gained industry experience as a quantitative analyst specializing in asset allocation and alpha research in Toronto.