AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Navigating Factor Research in Investment Models
This chapter explores the contrasts between traditional covariance-based models and characteristics-based methods in factor research. It emphasizes the need for nuanced factor selection and the importance of considering interdependencies among factors while addressing the complexities and skepticism surrounding the assumed benefits of adding more factors. The discussion also covers the dynamics of crowding in hedge funds and the implications of concentrated capital among firms in the current investment landscape.