The 2023 banking turmoil highlighted how technological advancements have significantly accelerated the speed of bank runs. This paper investigates the impact of these faster bank runs on the effectiveness of policy interventions by interpreting them as a constraint on the relative speed of policy responses. Using a model of bank runs and ex-post policy responses, we examine how delays caused by this constraint affect financial fragility and welfare. We find that while delays exacerbate welfare loss by distorting allocations, they may also decrease fragility by making banks more cautious. We study the optimal level of structural delay, balancing the trade-off between distributional distortions and financial fragility. Furthermore, we extend this model to explore the roles of liquidity regulations and capital injections given such a delay. We show that regulation may be more desirable than a capital injection if the delay is substantial because the benefit of decreased fragility is particularly potent.

We use data from a large survey of Chinese firms to investigate whether local government efforts to facilitate market development improve firm efficiency. Both government provision of information about products, markets, and innovation and government assistance in arranging loans are positively associated with firm efficiency, and those private firms with weak access to and knowledge of financial, input, and product markets benefit most from such assistance. These patterns are robust across multiple estimation approaches. Our examination of the determinants of local government facilitation also suggests that it gravitates toward promoting efficiency, though there are also indications that rent-seeking may play a role. Our evidence is consistent with the notion that government facilitation can help some firms overcome market failures in the early stages of a country's private sector development. Though causality is difficult to establish, we argue that changing fiscal dynamics that forced local governments to become increasingly self-reliant in generating revenue, and a government promotion system based on local economic performance, were key motivating factors for market facilitation by local government officials.

We study a novel mechanism through which real options play a prominent role in inducing the skewness of stock returns. Building on the investment-based asset pricing framework, we show that firms’ real options to contract (expand) their businesses when productivity is low (high) can increase return skewness. Consequently, return skewness represents a U-shaped function of firm productivity. Furthermore, the real-options effect is stronger for more flexible firms, characterized by lower scale-adjustment frictions. Employing a large sample of U.S. firms during 1972–2018, we provide a battery of robust empirical evidence consistent with the model predictions. Our findings demonstrate that firm-level real flexibility can impact investors and managers’ decision making.

ABSTRACT We examine how hometown, school, and workplace ties between financial analysts and mutual fund managers affect their business decisions. We show that a fund manager is more likely to hold stocks covered by analysts with whom she is socially connected, and that she also makes higher profits from these holdings. Such social tie-related holding returns are higher among more opaque firms. In return, a fund manager tends to cast her star analyst votes in favor of her connected analysts, and her fund company is more likely to allocate trading commissions to her connected analysts' brokerages. Additional tests indicate that analysts more actively acquire information (through conducting corporate site visits) and issue more optimistically biased recommendations for stocks held by fund managers with whom they are connected. Overall, our results illustrate the pronounced influence of social networks on the behaviors of analysts and fund managers. JEL Classifications: G10; G23; M40. Data Availability: Data are available from the public sources cited in the text.