The academic case for using a multi-factor model to maximize the realized equity risk premium is old news, but documenting the empirical evidence is forever new. It’s been known since the 1970s that the single-factor model of CAPM doesn’t fully explain the risk-return relationship for stocks. The limitation of the one-beta model has inspired a range of nuanced approaches for modeling returns and looking for Mr. Market’s silver lining. The most popular framework is still the Fama-French 3-factor model that taps the broad market beta along with the small-cap and value factors. It’s useful every once in a while to ask: How’s the 3-factor recipe working out for ‘ya. As it turns out, quite well, or so recent history suggests.