Win the Race for Higher Risk-adjusted Stock Returns

A new paper co-authored by Assistant Professor Alejandro Lopez-Lira and Wharton’s Nikolai Roussanov uses machine learning to construct investment portfolios that ensure predictability of returns in a world of changing risks.

Read more in this story from Knowledge at Wharton.