This paper explores the shock of school closures caused by the COVID-19 pandemic to study the effect of childcare responsibilities on analyst forecasts. With manually collected data on whether analysts have children, I find that female analysts with children (mother analysts) are less likely to issue timely forecasts after school closures, compared to male analysts with children (father analysts). Mother analysts’ forecasts also become less accurate after school closures, but the negative effect only exists among forecasts for firms with relatively low institutional ownership, suggesting that mother analysts prioritize maintaining the forecast accuracy for firms that are more important to their careers. Additionally, mother analysts shift forecast release times to avoid childcare hours. My findings imply that childcare responsibilities hurt the productivity of mother analysts more than that of father analysts, even though these women have established themselves in a competitive industry.

We study the design of credit default swaps (CDS) auctions, which determine the payments by CDS sellers to CDS buyers following defaults of bonds. Using a simple model, we find that the current design of CDS auctions leads to biased prices and inefficient allocations. This is because various restrictions imposed in CDS auctions prevent certain investors from participating in the price discovery and allocation process. The imposition of a price cap or floor also gives dealers large influence on the final auction price. We propose an alternative double auction design that delivers more efficient price discovery and allocations.

Previous studies of macroeconomic accounting have focused on the conceptual and political development of national accounts and how such theoretical concepts generate economic reality. By turning focus to the calculative practices of macroeconomic accounting, studying the Norwegian Quarterly National Accounts (QNA), the present work underlines that the national economy is not only constituted in the political discourse of growth and within international classifications, but also within the everyday processes of calculating the numbers. It shows how the QNA team struggles to adhere to the formal classifications and find reliable empirical accounts that matches them. In such situations, epistemic strategies are employed to handle the “gaps” and misalignments between the formal classifications and the everyday calculative practice. By theorizing the validation and support of weak numbers within a calculative culture shaped by the handling of second-order measurements and interrupted representations, the present study contributes to an emerging accounting literature on interrupted and hyperreal representations.

Between 2010 and 2020, the U.S. coal industry experienced a 50% drop in production, employment, and active mines, driven by regulatory factors and technological innovation in alternative energy sources. We study the impact of this energy transition on household employment, wages, migration, and home ownership in affected communities. Compared to non-coal-producing, resource-rich counties, coal-producing counties experience 6% and 4% drops in employment and wages, respectively, during this period. Economic mobility and access to banking services significantly moderate these real effects, suggesting a potential role for finance to shape the industrial and economic changes associated with climate transitions.

We study the design of optimal mechanisms when the designer is uncertain both about the form of information held by the agents and also about which equilibrium will be played. The guarantee of a mechanism is its worst performance across all information structures and equilibria. The potential of an information structure is its best performance across all mechanisms and equilibria. We formulate a pair of linear programs, one of which is a lower bound on the maximum guarantee across all mechanisms, and the other of which is an upper bound on the minimum potential across all information structures. In applications to public expenditure, bilateral trade, and optimal auctions, we use the bounding programs to characterize guarantee‐maximizing mechanisms and potential‐minimizing information structures and show that the max guarantee is equal to the min potential.

We empirically examine how venture capitalists adjust coinvestor relationships over time. We identify a fundamental trade-off where the benefits of familiarity are weighed against the opportunity costs of coinvesting with other syndication partners. Using US data, we find that venture capitalists dynamically adjust their relationship intensities by gradually disengaging from overly deep relationships. More centrally networked investors are more cautious with disengaging. In hot investment markets investors disengage more readily from existing relationships, but new relationships forged in hot market are less enduring. Perhaps surprisingly, we find a negative relationship between deeper prior relationships and investment performance.

The U.S. banking sector had nearly 70% fewer banks in 2022 relative to 1989, primarily because of mergers. We develop a methodology to estimate cross-market spillover effects of bank mergers and test whether the operations of incumbents facing consolidating competitors in one market are affected in other markets. We find that nonmerging banks within a market that are one standard deviation more exposed to mergers in other markets increase deposits by 2.1% relative to their less exposed competitors. Our methodology may be applied elsewhere to assess the aggregate impacts of industry consolidation and illustrates challenges with product-based or geographic market definitions.

We examine the effect of disclosing the potential financial impact of sustainability activities (FISA) on investor decisions. We posit and find that the effect is moderated by both companies' financial condition and investors' view on sustainability. Our results suggest that investors with a stakeholder value-maximization view are not sensitive to the FISA disclosure regardless of the company's financial condition. However, investors holding a shareholder expense view exhibit significantly higher investment interest in the presence of a FISA disclosure when the company's financial condition is favorable, but not when it is unfavorable. Additional analysis suggests that the presence of FISA leads to differential belief updates for investors with different ex-ante beliefs about the benefits of sustainability. Our study provides practical insights into the effect of disclosing the financial effects of sustainability activities. It has implications for integrated reporting and the disclosure of the connectivity between sustainability and financial performance proposed by standard setters. It also contributes to the literature on the relevance of non-financial information and investor type to investment decisions.

We introduce a new measure of emerging market sovereign credit risk: the local currency credit spread, defined as the spread of local currency bonds over the synthetic local currency risk‐free rate constructed using cross‐currency swaps. We find that local currency credit spreads are positive and sizable. Compared with credit spreads on foreign‐currency‐denominated debt, local currency credit spreads have lower means, lower cross‐country correlations, and lower sensitivity to global risk factors. We discuss several major sources of credit spread differentials, including positively correlated credit and currency risk, selective default, capital controls, and various financial market frictions.

We examine how political corruption affects corporate investment. We find firms in more corrupt states invest less than firms in less corrupt states. Our results are robust to using alternative investment measures, alternative corruption measures, and different regression specifications. Further, we find that the negative effect of corruption became insignificant after the enactment of Dodd–Frank Whistleblower Provision. The impact of the Dodd–Frank Whistleblower Provision is stronger in states with higher corruption. Our findings suggest that political corruption hinders investment, but the changes in legal environments can help firms reduce the decline in investments in highly corrupt states.