We focus on listed non-financial companies from the largest European economies to explore the impact of rising stakeholders’ attention towards climate risk on firms’ probability to delist. An aggregate analysis shows that, despite growing awareness about the climate problem, enhanced scrutiny over more polluting firms and improved access to information about corporate sustainability over the last two decades, the share of carbon-intensive industries has not significantly declined in the listed sector relative to the whole economy. Also at the micro-level, firms in carbon-intensive sectors have not become more likely to delist, even in periods of enhanced stakeholders’ concern about climate risk, potentially because they experienced a shift towards lower emissions over the same period. We confirm this result by means of a quasi-natural experiment centered around the enhanced disclosure requirements introduced by the EU Non-Financial Reporting Directive of 2014.

We assemble data about executives on the boards of national supervisory authorities (NSA) in European banking, which reveal that 40% have an employment history in the financial industry. Appointment patterns to NSA boards differ substantially across countries. Generally, the appointment of former finance professionals as prudential supervisors is inconsequential for banks‘ valuations, capitalization, and asset growth. The exception are positive, but short-lived valuation effects for those banks whose alumni are appointed as executives of directly responsible NSA boards. Circumstantial evidence suggests that a “proximity bias“ is a more likely driver of this effect instead of superior financial expertise or intrinsic skills of the designated NSA executives.

We build a granular dataset of residential property yields using rental and sale listings from a major German real estate platform. With more than 1.5 million property-level rent-to-price ratios, we document a novel heterogeneity puzzle. About two-fifths of yield dispersion remains unexplained after controlling for extensive observable property characteristics and postal code-level time-varying factors using fixed effects. When we absorb finer neighborhood amenities through richer fixed effects, the unexplained share remains close to one-third. This evidence points to the importance of investors’ beliefs and preferences—rather than several alternative explanations we test—as sources of heterogeneity in risk premia.

Exploiting the executive compensation reform for state-owned enterprises (SOEs) in China that enforce strict pay restrictions, this study examines whether and how pay restrictions affect firms’ labor investment inefficiency. We find that SOEs experience a decrease in abnormal labor investment following the reform relative to non-SOEs, particularly in over-investment in labor. Our results show that the reform is associated with lower labor investment inefficiency through strengthened internal governance and mitigated internal social comparison. In addition, pay restrictions specifically curb firms’ tendency to over-hire. Further analysis reveals that imposing pay restrictions on executives enhances labor quality and also promotes employee well-being. This study offers novel policy insights by showing how pay restrictions to SOE executives can reduce vertical agency costs and investment inefficiency and enhance workforce quality and well-being in weak institutional environments.

Intergenerational justice is a core principle of sustainability, yet empirical metrics on the impact of business on future generations remain scarce. Moreover, evidence suggests that different ESG scores capture distinct dimensions of corporate responsibility, highlighting the need for more targeted assessments. This study examines the relationship between corporate engagement with children’s rights and financial performance using a dataset of 1672 firm-year observations, combining a novel children’s rights benchmark with Refinitiv’s financial and sustainability metrics. Results indicate a negative association between marketplace ratings, assessing firms’ child welfare considerations in marketing, and accounting-based profitability, even when controlling for ESG subscores. However, no similar relationship emerges in stock market performance. These findings highlight potential tensions between corporate responsibility and short-term financial outcomes, emphasizing the role of regulatory frameworks and stakeholder engagement in balancing financial and social objectives.

This paper examines whether common institutional ownership is associated with CEO connectedness across firms. We document that higher common ownership between two same-industry firms predicts a greater likelihood that a newly appointed CEO has preexisting social ties to the incumbent CEO of the peer firm. To address endogeneity, we use mergers among institutional investors in a stacked difference-in-differences design. In a hiring-firm-peer panel that carries connection status forward from the most recent appointment, exposure to a merger-induced common blockholder approximately doubles the probability that the pair is observed in a connected-CEO state. In a broader firm-pair panel, it increases the probability of CEO connections by 48.7%. We further document that gaining CEO connections through another firm’s CEO appointment is associated with improvements in peer firms’ returns on assets and Tobin’s Q, in both OLS and IV specifications. Peer firms that gain such a connection also experience positive abnormal returns around other firms’ CEO hiring announcements, corresponding to an average increase of $112.5 million in shareholder value. These performance patterns suggest that CEO connections may be valuable from a portfolio-level perspective. Consistent with this interpretation, the association between common ownership and CEO connections is concentrated among product-similar and organizationally complex firms and strengthens after the 2008–2009 financial crisis, when connections appear more valuable. Our findings point to CEO connection as a potential governance channel through which common institutional ownership is linked to firm outcomes, complementing prior work on executive compensation, shareholder voting, and board interlocks.

Firms increasingly rely on markets for technology to acquire innovations developed outside their boundaries, yet acquiring intellectual property rights alone often does not guarantee successful implementation. Many technologies depend on tacit know-how that must be supplied by the provider after the transaction is completed. This paper examines whether common ownership between a technology provider and a potential adopter mitigates this implementation problem. I develop a model in which overlapping institutional investors cause the provider to partially internalize the adopter’s gains from successful implementation, strengthening incentives to transfer tacit know-how. This mechanism operates only when know-how is unverifiable – absent this friction, common ownership leaves matching and outcomes unchanged. Under moral hazard, the model predicts that common ownership increases the likelihood of technology transfer to a given adopter, that this effect is stronger when tacit know-how is more important, and that common ownership improves post-transfer outcomes conditional on adoption. I test these predictions using U.S. patent reassignments between publicly traded firms. Using within-deal variation across competing potential adopters and plausibly exogenous variation from passive index-fund holdings, I show that common ownership increases the likelihood that a firm acquires a technology, particularly when the transferred bundle is more tacit. Common ownership predicts stronger subsequent innovation and higher future firm value, especially when ownership overlap is concentrated among investors with stronger incentives to monitor the provider. These findings show how ownership structure shapes interfirm technology transfer by affecting not only who acquires a technology, but also how much value is created.

Agency theory holds that managerial discretion over stakeholder decisions creates agency costs through altruistic redistribution. We test this claim in a principalagent experiment where agents choose effort and transfers affecting a third party under unenforceable flat-wage contracts. We find that principals set ethically constrained targets and wages that track fairness benchmarks. Agents, however, do not divert resources to stakeholders: transfers are negative on average, and prosocial traits do not increase giving. Instead, contract terms, though unenforceable, systematically shape effort, transfers, and returns. Notably, prosocial agents generate higher total returns. Prosociality appears to mitigate rather than create efficiency losses, suggesting that discretion channels norm-sensitive loyalty rather than stakeholder redistribution.

Institutional common ownership of firm pairs in the same industry increases the likelihood of a preexisting social connection among their CEOs. We establish this relationship using a quasi-natural experiment that exploits institutional mergers combined with firms’ hiring events and detailed information on CEO biographies. In addition, for peer firms, gaining a CEO connection from a hiring firm’s CEO appointment correlates with higher returns on assets, stock market returns, and decreasing product similarity between companies. We find evidence consistent with common owners allocating CEO connections to shape managerial decisionmaking and increase portfolio firms’ performance.

This paper studies whether common ownership affects the direction of technological change. We develop a task-based model in which commonly owned firms internalize wage externalities from labor market rivals, increasing incentives to automate. We establish causality by exploiting institutional investor mergers in a dynamic DiD design, using U.S. data on institutional ownership, establishment-level employment, and automation patents. When institutional investor mergers increase common ownership among labor market rivals, the annual probability of those firms producing an automation patent increases by 3.79 percentage points and employment growth falls by 3.8 percentage points on average. Both effects disappear without labor market overlap.