Whether higher idiosyncratic return volatility means more or less informative stock prices is an ongoing debate. All the existing literature relies on cross-sectional evidence, which makes it hard to isolate the effects of price informativeness on idiosyncratic volatility from other effects. I...

We study an environment with short sale constraints and heterogeneous beliefs among outsiders and between insiders and outsiders. Firm insiders choose between equity, debt, and convertible debt to raise external financing. We analyze two settings: one where heterogeneous beliefs is the only...

This study predicts stock splits using two ensemble machine learning techniques: gradient boosting machines (GBMs) and random forests (RFs). The goal is to form implementable portfolios based on positive predictions to generate abnormal returns. Since splits are rare events, we use SMOTE...

Fundamental innovation usually involves huge upfront costs, but the benefits are spread across various sectors of the economy. Given the large costs and limited appropriability of the benefits associated with fundamental innovations, individual firms underinvest in these innovations relative to...

We develop a theoretical analysis of the choice of firms between fixed-price offerings and uniform-price auctions for selling shares in IPOs and privatizations. We consider a setting in which a firm goes public by selling a fraction of its equity in an IPO market where insiders have private...

We analyze a firm's choice between dividend payments and stock repurchases under heterogeneous beliefs and the subsequent long-term stock return performance of firms adopting the two forms of payout. Firm insiders, owning a certain fraction of its equity, choose between paying out its cash...