We selectively review recent advancements in research on predictive models of earnings and returns. We discuss why applying statistical, econometric, and machine learning advancements to forecasting earnings and returns presents difficult challenges. In the context of these challenges, we...

We selectively review recent advancements in research on predictive models of earnings and returns. We discuss why applying statistical, econometric, and machine learning advancements to forecasting earnings and returns presents difficult challenges. In the context of these challenges, we...

We selectively review recent advancements in research on predictive models of earnings and returns. We discuss why applying statistical, econometric, and machine learning advancements to forecasting earnings and returns presents difficult challenges. In the context of these challenges, we...

We study 6,686 IPOs spanning the period 1981-2005 and find that the new issues puzzle disappears in a Fama-French three-factor framework. IPOs do not underperform in the aftermarket on a risk-adjusted basis and do not underperform a matched sample of non-issuers. IPO underperformance is...

We propose an asset pricing model in a production economy where cash flows are determined by firms' dividend and investment decisions. Managers choose extensive and intensive margins in payout policy while facing non-convex costs as firm cash holdings grow. Differences in the timing of dividend...

We build a competition network that links two industries through their common market leaders. Industries with higher centrality on the competition network have higher expected stock returns because of higher exposure to the cross-industry spillover of distress shocks. The competition intensity...