Nearly 40% of IPO firms redact information from their SEC registration filings. These firms exhibit characteristics consistent with the need to shield proprietary information from potential rivals. They experience greater underpricing, but pre-IPO insiders reduce underpricing-related wealth...

Firms that redact proprietary information in their IPO filings bear significant costs to shield that information, and yet we find that the majority choose voluntary disclosure via management forecasts. They modify the characteristics of their forecasts in ways that plausibly attempt to reduce...

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...