Momentum in individual stock returns emanates from momentum in factor returns. Most factors are positively autocorrelated: the average factor earns a monthly return of 1 basis point following a year of losses and 53 basis points following a positive year. Factor momentum explains all forms of...

Momentum in individual stock returns emanates from momentum in factor returns. Most factors are positively autocorrelated: the average factor earns a monthly return of 6 basis points following a year of losses and 51 basis points following a positive year. We find that factor momentum...

A strategy that selects stocks based on their historical same-calendar-month returns earns an average return of 13% per year. We document similar return seasonalities in anomalies, commodities, international stock market indices, and at the daily frequency. The seasonalities overwhelm...

Stock market participation is monotonically related to IQ, controlling for wealth, income, age, and other demographic and occupational information. The high correlation between IQ, measured early in adult life, and participation, exists even among the affluent. Supplemental data from siblings,...

Momentum in individual stock returns emanates from momentum in factor returns. Most factors are positively autocorrelated: the average factor earns a monthly return of 1 basis point following a year of losses and 53 basis points following a positive year. Factor momentum explains all forms of...

By choosing investment strategies that intentionally create exposure to factor betas, investors may be obtaining uncompensated risks. We show across a wide variety of factors and geographical markets that factors constructed from fundamental characteristics have earned high returns, whereas...

Factors in prominent asset pricing models are positively autocorrelated. We derive a transformation that turns an autocorrelated factor to a ``time-series efficient'' factor. Time-series efficient factors earn significantly higher Sharpe ratios than the original factors and contain all the...