Researchers have struggled with using characteristics-based factor models to summarize cross-sections of stock returns. Homing in on a few characteristics was seen as a potential solution. But new Maryland Smith research has other ideas.

New research is important for understanding which economic forces might move expected stock returns in the first place.

Some traders time the market, others look for signs to get the most bang for their buck. But what’s the best method? Both, says new research.