Knowledge that Transforms

Firms sometimes obtain soft private information about growth prospects along with hard information about current or past performance. In this environment, we find that optimizing disclosures over multiple periods yields nonlinear stock price reactions following both voluntary and mandatory disclosures. Further, we derive several predictions about distinct short‐run and long‐run effects of disclosures and nondisclosures on security prices. Under specified conditions, when the volatility of the firm's earnings increases, the average contemporaneous and prospective post‐mandatory‐disclosure market premia (for voluntary disclosures over nondisclosures) rise, while farther‐in‐future market discounts (for such voluntary disclosures) also become larger. Our analysis moreover predicts that both the disclosure probability and the information content of nondisclosures can increase in the persistence of earnings.

Many service organizations rely on information sharing systems to boost employee creativity to meet customer needs. We conducted a field experiment in a retail chain, based on a registered report accepted by JAR, to test whether an information sharing system recording employees’ creative work affected the quality of creative work, job engagement, and financial performance. We found that, on average, this system did not have a significant effect on any of these outcomes. However, it significantly improved the quality of creative work in stores that had accessed the system more frequently and in stores with fewer same‐company nearby stores. It also improved creative work and job engagement in stores in divergent markets, where customers needed more customization. We found weak evidence of better financial results where salespeople had lower creative talent before the system was introduced. Our findings shed light on those conditions in which information sharing systems affect employees’ creative work.

I exploit variation in the adoption of disclosure and supervisory regulation across U.S. states to examine their impact on the development and stability of commercial banks. The empirical results suggest that the adoption of state‐level requirements to report financial statements in local newspapers is associated with greater stability and development of commercial banks. I also examine which political constituencies influence the adoption of disclosure and supervisory regulation. I find that powerful landowners and small private banks are associated with late adoption of these regulations. These findings suggest that incumbent groups oppose disclosure rules because the passage of such rules threatens their private interests.

Whistleblowers are ostensibly a valuable resource to regulators investigating securities violations, but whether there is a link between whistleblower involvement and the outcomes of enforcement actions is unclear. Using a data set of employee whistleblowing allegations obtained from the U.S. government and the universe of enforcement actions for financial misrepresentation, we find that whistleblower involvement is associated with higher monetary penalties for targeted firms and employees and with longer prison sentences for culpable executives. We also find that regulators more quickly begin enforcement proceedings when whistleblowers are involved. Our findings suggest that whistleblowers are a valuable source of information for regulators who investigate and prosecute financial misrepresentation.

This study provides evidence that the use of conservative accounting in debt contracting depends on the enforceability of the contract. To test the effect of debt contract enforcement on borrowers' timely loss recognition, we exploit the staggered introduction of enhanced debt contract enforcement in Indian states as a natural experiment, where the implementation of the enforcement is exogenous to the accounting choices and borrowing behavior of firms. The main results show that enhanced enforcement has a significant positive effect on the timeliness of loss recognition of borrowing firms. We find that the effect is strongest for firms that increased their overall borrowing and for firms with high levels of tangible assets, consistent with a collateral‐based explanation. This study also provides causal evidence that firms adopt conservative accounting due to lenders' demand.

Our analysis is rooted in the notion that stockholders can learn about the fundamental value of any firm from observing the earnings reports of its rivals. We argue that such intraindustry information transfers, which have been broadly documented in the empirical literature, may motivate managers to alter stockholders’ beliefs about the value of their firm not only by manipulating their own earnings report but also by influencing the earnings reports of rival firms. Managers obviously do not have access to the accounting system of peer firms, but they can nevertheless influence the earnings reports of rival firms by distorting real transactions that relate to the product market competition. We demonstrate such managerial behavior, which we refer to as cross‐firm real earnings management, and explore its potential consequences and interrelation with the practice of accounting‐based earnings management within an industry setting with imperfect (nonproprietary) accounting information.

The papers in this volume were published through a Registration‐based Editorial Process (REP). Authors submitted proposals to gather and analyze data; successful proposals were guaranteed publication as long as the authors lived up to their commitments, regardless of whether results supported their predictions. To understand how REP differs from the Traditional Editorial Process (TEP), we analyze the papers themselves; conference comments; a survey of conference authors, reviewers, and attendees; and a survey of authors who have successfully published under TEP. We find that REP increases up‐front investment in planning, data gathering, and analysis, but reduces follow‐up investment after results are known. This shift in investment makes individual results more reproducible, but leaves articles less thorough and refined. REP could be improved by encouraging selected forms of follow‐up investment that survey respondents believe are usually used under TEP to make papers more informative, focused, and accurate at little risk of overstatement.

Researchers frequently proxy for managers’ non‐GAAP disclosures using performance metrics available through analyst forecast data providers (FDPs), such as I/B/E/S. The extent to which FDP‐provided earnings are a valid proxy for managers’ non‐GAAP reporting, however, has been debated extensively. We explore this important question by creating the first large‐sample data set of managers’ non‐GAAP earnings disclosures, which we directly compare to I/B/E/S data. Although we find a substantial overlap between the two data sets, we also find that they differ in systematic ways because I/B/E/S (1) excludes managers’ lower quality non‐GAAP numbers and (2) sometimes provides higher quality non‐GAAP measures that managers do not explicitly disclose. Our results indicate that using I/B/E/S to identify managers’ non‐GAAP disclosures significantly underestimates the aggressiveness of their reporting choices. We encourage researchers interested in managers’ non‐GAAP reporting to use our newly available data set of manager‐disclosed non‐GAAP metrics because it more accurately captures managers’ reporting choices.

In response to the increasing use of computer programs to process firm disclosures, this registered report develops a new measure of “scriptability” that reflects computerized, rather than human, information processing costs. We validate our measure using SEC filing‐derived data from prior research and identify firm and disclosure characteristics related to it. In our planned hypothesis tests, we find some evidence that the speed of the market response to filings increases with scriptability, but find little evidence that scriptability affects the incidence and speed of news dissemination by Dow Jones. In additional analyses, we find that scriptability exhibits both positive and negative associations with changes in information asymmetry between market participants, depending on the filing, trading window, and measure examined. We also find little evidence that XBRL interacts with scriptability in a meaningful way. Overall, our study broadens our understanding of information processing costs and provides opportunities for new avenues of research.

This paper uses data on detected misstatements—earnings restatements—and a dynamic model to estimate the extent of undetected misstatements that violate GAAP. The model features a CEO who can manipulate his firm's stock price by misstating earnings. I find the CEO's expected cost of misleading investors is low. The probability of detection over a five‐year horizon is 13.91%, and the average misstatement, if detected, results in an 8.53% loss in the CEO's retirement wealth. The low expected cost implies a high fraction of CEOs who misstate earnings at least once at 60%, with 2%–22% of CEOs starting to misstate earnings in each year 2003–2010, inflation in stock prices across CEOs who misstate earnings at 2.02%, and inflation in stock prices across all CEOs at 0.77%. Wealthier CEOs manipulate less, and the average misstatement is larger in smaller firms.