The article shows that two measures of the amount of private information in stock price—price nonsynchronicity and probability of informed trading (PIN)—have a strong positive effect on the sensitivity of corporate investment to stock price. Moreover, the effect is robust to the inclusion of controls for managerial information and for other information-related variables. The results suggest that firm managers learn from the private information in stock price about their own firms’ fundamentals and incorporate this information in the corporate investment decisions. We relate our findings to an alternative explanation for the investment-to-price sensitivity, namely that it is generated by capital constraints, and show that both the learning channel and the alternative channel contribute to this sensitivity.

This paper studies how hedge fund activism impacts corporate innovation. Firms targeted by activists improve their innovation efficiency over the five-year period following hedge fund intervention. Despite a tightening in research and development (R&D) expenditures, target firms increase innovation output, as measured by both patent counts and citations, with stronger effects among firms with more diversified innovation portfolios. Reallocation of innovative resources, redeployment of human capital, and change to board-level expertise all contribute to improve target firms’ innovation. Additional tests help isolate the effect of intervention from alternative explanations, including mean reversion, sample attrition, voluntary reforms, or activist stock-picking.

During the 2020–2021 “AAPI Hate,” mutual funds led by female managers perceived as East Asian underperformed relative to other female managers. This effect is stronger in states with higher anti-Asian animus, among more actively managed funds, and when these managers hold sole or senior roles. Factors concurrent with COVID-19, including childcare challenges, concerns for overseas families, marketplace and workplace discrimination, and exposure to the Chinese economy, cannot explain the effect. Underperformance is traceable to poor stock picking due to impairments in generating private information. Racial-ethnic animosity, even outside workplace or marketplace, hinders productivity and decision-making in high-skill professions.

We examine the impact of fintech on firm labor demand, job turnover, and firm performance. Occupations with higher exposure to fintech experience a net decline in job postings and employment, though both complementary and substitutive effects emerge across different sectors. Fintech blurs traditional industry boundaries, creating demand for workers with a combination of finance and technology skills. In response, firms upskill through hiring, reallocate talent internally, and pivot innovation to new areas. As a result, firms are better equipped to absorb the shock than individual workers, with innovative firms even experiencing growth in employment, sales, and productivity upon fintech disruption.

Growing AI readership (proxied for by machine downloads and ownership by AI-equipped investors) motivates firms to prepare filings friendlier to machine processing and to mitigate linguistic tones that are unfavorably perceived by algorithms. Loughran and McDonald (2011) and BERT available since 2018 serve as event studies supporting attribution of the decrease in the measured negative sentiment to increased machine readership. This relationship is stronger among firms with higher benefits to (e.g., external financing needs) or lower cost (e.g., litigation risk) of sentiment management. This is the first study exploring the feedback effect on corporate disclosure in response to technology.

The promise of contingent convertible capital securities (CoCos) as a ”bail-in” solution has been the subject of considerable theoretical analysis and debate, but little is known about their effects in practice. We undertake the first comprehensive empirical analysis of bank CoCo issues, a market segment that comprises over 730 instruments totaling $521 billion. Four main findings emerge: (1) the propensity to issue a CoCo is higher for larger and better capitalized banks; (2) CoCo issues result in a statistically significant decline in issuers’ CDS spread, indicating that they generate risk-reduction benefits and lower costs of debt (this is especially true for CoCos that convert into equity, have mechanical triggers, and are classified as Additional Tier 1 instruments); (3) CoCos with only discretionary triggers do not have a significant impact on CDS spreads; and (4) CoCo issues have no statistically significant impact on stock prices, except for principal write-down CoCos with a high trigger level, which have a positive effect.

For years, the Securities and Exchange Commission (SEC) accidentally distributed securities disclosures to some investors before the public. We exploit this setting, which is unique because the delay until public disclosure was exogenous and the private information window was well defined, to study informed trading with a random stopping time. Trading intensity and the pace at which prices incorporate information decrease with the expected delay until public release, but the relation between trading intensity and time elapsed varies with traders' learning process. Noise trading and relative information advantage play similar roles as in standard microstructure theories assuming a fixed time window.

We analyze strategic speculators’ incentives to trade on information in a model where firm value is endogenous to trading, due to feedback from the financial market to corporate decisions. Trading reveals private information to managers and improves their real decisions, enhancing fundamental value. This feedback effect has an asymmetric effect on trading behavior: it increases (reduces) the profitability of buying (selling) on good (bad) news. This gives rise to an endogenous limit to arbitrage, whereby investors may refrain from trading on negative information. Thus, bad news is incorporated more slowly into prices than good news, potentially leading to overinvestment.

Based on a survey of American Finance Association members, we analyze how demographics, time allocation, production mechanisms, and institutional factors affect research production during the pandemic. Consistent with the literature, research productivity falls more for women and faculty with young children. Independently, and novel, extra time spent on teaching (much more likely for women) negatively affects research productivity. Also novel, concerns about feedback, isolation, and health have large negative research effects, which disproportionately affect junior faculty and PhD students. Finally, faculty who express greater concerns about employers’ finances report larger negative research effects and more concerns about feedback, isolation, and health.

In an “activist risk arbitrage,” a shareholder attempts to improve terms of an announced M&A through public campaigns. Activists target deals with low premiums and those susceptible to managerial conflicts of interest, including going‐private deals and deals in which CEOs receive outsized payments. Activist arbitrageurs are associated with a significant decrease in the probability that targets will be sold to the announced bidders, and an increase in the premium paid, both ex post among surviving deals and ex ante among all deals. Activist arbitrage serves as a governance mechanism in M&A and earns higher returns than passive arbitrage.