Research Summary
Research Summary
Overview
Description
Ms. Fedyk's main research interests lie at the intersection of asset pricing and behavioral finance, with a particular focus on information and belief formation. Her job market paper is part of a broader research agenda on the way in which information is incorporated into asset prices. In this line of work, Ms. Fedyk uses data on news, positioning, and individual-level clicks to observe how frictions in information dissemination and consumption affect market dynamics. Her second line of work considers biased belief formation and overconfidence. She uses a varied set of tools including lab experiments and theoretical modeling, and ties her behavioral findings to finance in the context of mutual fund trading behavior. Ms. Fedyk's third line of work investigates the asset pricing implications of new types of information that are becoming available for analysis with big data techniques. In a nascent research agenda, she uses machine learning to structure and analyze a large dataset of individual-level education, demographic, and employment profiles to understand the hierarchies and characteristics of companies’ human capital and how these features are reflected in firm performance.