We integrate fundamental analysis with mean-variance portfolio optimization to form fully optimized fundamental portfolios. We find that fully optimized fundamental portfolios produce large out-of-sample factor alphas with high Sharpe ratios. They substantially outperform equal-weighted and...

Research suggests that investors fail to fully process changes in return on assets due to their incomplete processing of changes in asset turnover. We propose that investors do not fully process changes in return on assets—stemming from changes in asset turnover—because of their (1) fixation...

We investigate the presence of a shared life cycle component in earnings and test whether the earnings of one firm are relevant for valuing other firms in the same life cycle stage. We find that firm-pairs in the same life cycle stage have greater accounting comparability and greater co-movement...

This study generates out-of-sample predictions from training data to construct investment portfolios that are mean-variance optimized and rebalanced daily to assess gains from incorporating signals based on post-earnings announcement drift (PEAD), the earnings announcement premium (EAP), and...