Knowledge that Transforms

Connected financial journalists—those with working relationships, common school ties, or social media connections to company management—introduce a marked media slant into their news coverage. Using a comprehensive set of newspaper articles covering mergers and acquisition (M&A) transactions from 1997 to 2016, I find that connected journalists use significantly fewer negative words in their coverage of connected acquirers. These journalists are also more likely to quote connected executives and include less accurate language in their reporting. Moreover, they tend to portray other firms in the same network in a less negative light. Journalists’ favoritism bias has implications for both capital market outcomes and their careers. I find that acquirers whose M&As are covered by connected journalists receive significantly higher stock returns on the news article publication date. However, these acquirers’ stock prices reverse in the long term, suggesting market overreaction to news covered by connected journalists. Around M&A transactions, connected articles are correlated with increased bid competition and deal premiums. In terms of future career development, connected journalists are more likely to leave journalism and join their associated industries in the long run. Taken together, the evidence suggests that financial journalists’ personal networks promote news bias that potentially hinders the efficient dissemination of information.

This study examines how algorithmic trading (AT) affects forward‐looking disclosures in Management Discussion and Analysis (MD&A) of annual reports. We predict and find evidence that AT relates negatively to modifications in year‐over‐year forward‐looking MD&A disclosures. This evidence is consistent with AT reducing investors’ demand for fundamental information, which reduces managers’ incentives to supply costly forward‐looking disclosures. Cross‐sectional tests provide additional evidence that this negative relation is more pronounced for firms with larger earnings surprises and those with losses. We further validate our conclusion by demonstrating that investors’ fundamental information searches are a channel through which AT affects forward‐looking disclosures. The conclusion is robust to using the SEC's Tick Size Pilot Program as an exogenous shock to AT and to using alternative disclosure measures (e.g., tone revisions and number of sentences in forward‐looking MD&A disclosures). Overall, our study demonstrates that AT is a contributing factor to regulators’ concerns over the diminishing usefulness of forward‐looking information in MD&A disclosures.

Equity compensation is granted out of an equity incentive plan that must be approved by shareholders and cedes discretion over equity grants to boards of directors. We predict and find that equity plan proposals give boards more discretion over grants when the firm faces greater labor market forces and more volatile stock returns. When examining votes, we find that shareholders are less likely to support plans with abnormal discretion. We also find that boards with more discretion grant more equity in response to stock price declines. Lastly, we find that boards request additional shares when their ability to grant equity is more constrained by a smaller pool of available shares, and when they plan to increase equity grants. Overall our findings illuminate how firms balance needs to respond to labor market pressure and volatile operating environments against shareholder governance and oversight of equity compensation.

We study environmental and social (E&S) disclosures in annual reports. Using the word embedding model to examine over 210,000 annual reports from 24,271 public firms in 30 international countries/regions between 2001 and 2020, we create an E&S dictionary that allows us to document trends in annual report E&S disclosure. Specifically, we find: (1) increases in length and boilerplate language and (2) decreases in specificity. Our results also suggest that E&S disclosure quality improves after the adoption of voluntary ESG reporting frameworks but deteriorates after disclosure mandates. Our findings provide systematic evidence on the evolution of E&S disclosure in annual reports over the past two decades and shed light on how voluntary and mandatory standards have shaped global E&S reporting practices.

This paper offers the first systematic evidence on environmental, social, and governance (ESG) disclosures provided by a large global sample of private equity (PE) firms. Using historical websites from 2000 to 2022, we develop and validate a novel dictionary‐based measure of voluntary PE firm ESG disclosures. Descriptive statistics reveal an increasing time trend in these disclosures, with social topics becoming as important as environmental topics recently. Multivariate analyses show that the demand for ESG information from fund investors is a significant determinant of PE firms’ ESG disclosures. Leveraging data on PE firms’ portfolio companies, we document that more PE firm ESG disclosures are associated with better ESG outcomes at the portfolio company level, suggesting that voluntary ESG disclosures align with real actions for the average PE firm.

The Occupational Safety and Health Administration (OSHA) is decentralized, wherein field offices coordinated at the state level undertake inspections. We study whether this structure can lead to interstate frictions in sharing information and how this impacts firms’ compliance with workplace safety laws. We find that firms caught violating in one state subsequently violate less in that state but violate more in other states. Despite this pattern, and in keeping with information frictions, violations in one state do not trigger proactive OSHA inspections in other states. Moreover, firms face lower monetary penalties when subsequent violations occur across state lines, likely due to the lack of documentation necessary to assess severe penalties. Finally, firms are more likely to shift violating behavior into states with greater information frictions. Our findings suggest that internal information within regulators impacts the likelihood and location of corporate misconduct.

Interest in sustainability information, from investors, managers, researchers, and others, has been expanding rapidly. We discuss recent advances and open questions related to sustainability reporting and disclosure through the lens of a supply and demand framework. Our discussion builds on prior research on financial reporting and highlights unique aspects of the provision of sustainability information.

The economic role of an accounting regime is to increase welfare through its effects—in conjunction with complementary institutions—on firm and household behavior. I review three major streams of the archival literature (real effects; price effects, including value relevance; and costly contracting), in terms of what they can and cannot reveal as proxies for welfare effects. One conclusion is that the partial correlations and average effects that predominate in this literature have provided valuable insights into the role of accounting in the economy, but provide limited and misleading proxies for welfare effects. A major concern is that teachers, students, and researchers—indeed, regulators and standard setters—raised on this literature could lose sight of, and underestimate, the fundamental contribution of accounting to aggregate welfare.

Forward‐looking information, often used by auditors to evaluate complex estimates and form conclusions about going‐concern audit report modifications, is commonly disclosed voluntarily by U.S. public companies. We experimentally examine how this disclosure behavior affects auditors’ skepticism toward such information. Prior research has shown that investors and analysts frequently interpret voluntarily disclosed forward‐looking information as credible. We demonstrate that auditors, in contrast, exhibit greater skepticism toward forecasted information that has been voluntarily disclosed (vs. mandatorily disclosed or held privately) because of their reduced trust in management, even when the forecasts align with prior year trends (vs. being more optimistic). Our results suggest that a manager's decision to disclose, rather than the disclosure content itself, leads to increased auditor skepticism. Our findings have implications not only for audit outcomes, but also for manager disclosure behavior, as increased auditor scrutiny could discourage future voluntary disclosure.

Using misstatement data, we find that the distribution of detected fraud features a heavy tail. We propose a theoretical mechanism that explains such a relatively high frequency of extreme frauds. In our dynamic model, a manager manipulates earnings for personal gain. A monitor of uncertain quality can detect fraud and punish the manager. As the monitor fails to detect fraud, the manager's posterior belief about the monitor's effectiveness decreases. Over time, the manager's learning leads to a slippery slope, in which the size of frauds grows steeply, and to a power law for detected fraud. Empirical analyses corroborate the slippery slope and the learning channel. As a policy implication, we establish that a higher detection intensity can increase fraud by enabling the manager to identify an ineffective monitor more quickly. Further, nondetection of frauds below a materiality threshold, paired with a sufficiently steep punishment scheme, can prevent large frauds.