Private investments in public equities (PIPEs) are an important source of finance for public corporations. PIPE investor returns decline with holding periods, while time to exit depends on the issue's registration status and underlying liquidity. We estimate PIPE investor returns adjusting for...

This paper investigates the pricing of bank loans relative to capital market debt. The analysis uses a novel sample of loans matched with bond spreads from the same firm on the same date. After accounting for seniority, lenders earn a large premium relative to the bond-implied credit spread. In...

Management, directly or indirectly, learns from its firm's stock price, so that a more informative stock price should make the firm more productive. We show that stock price informativeness increases firm productivity. We predict and confirm that the productivity of smaller and younger firms,...

Since 1965, average idiosyncratic risk (IR) has never been lower than in recent years. In contrast to the high IR in the late 1990s that has drawn considerable attention in the literature, average market-model IR is 44% lower in 2013-2017 than in 1996-2000. Macroeconomic variables help explain...

Many recently proposed, seemingly different factor models are closely related. In spanning tests, the q-factor model largely subsumes the Fama-French (2015, 2018) 5-and 6-factor models, and the q5-model captures the Stambaugh-Yuan (2017) model. The Stambaugh-Yuan factors are sensitive to their...

We develop a model where a firm has an optimal exposure to cyber risk. With rational, fully informed agents and with no hysteresis, a successful cyberattack should have no impact on a financially unconstrained target's reputation and post-attack policies. In contrast, when a successful attack...

Can algorithms assist firms in their decisions on nominating corporate directors? Directors predicted to do poorly by algorithms indeed do poorly compared to a realistic pool of candidates in out-of-sample tests. Predictably bad directors are more likely to be male, accumulate more...

Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...