Knowledge that Transforms

Decades of research confirm that, on average, stock split announcements generate positive abnormal returns. In our sample, 80% of CEO stock option grants are timed to occur on or before the split announcement date. With the average market-adjusted announcement return of 3.1%, awarding the grant before the split announcement results in an average gain per CEO-grant of 451,748. We find additional evidence consistent with timing of CEO stock trading around the split announcement. In the case of CEO stock sales, about two-thirds occur after the split announcement, resulting in an average gain of 345,613.

Li and You (this volume) study public firms’ common stock return reactions to two events: when analysts’ initiate coverage of the firm and when they terminate coverage. They test the returns for evidence of three sources of value added by analysts: (1) more monitoring of the firm, (2) reduced information asymmetry about the firm, and (3) greater demand for the firm’s common stock. They find consistent support for analysts adding value by increasing demand, but not monitoring or by reducing information asymmetry. Their findings also indicate that analysts’ initiations supply little new information. I review these findings, put them in perspective with related research, and note research directions.

We examine how corporate social media affects the capital market consequences of firms’ disclosure in the context of consumer product recalls. Product recalls constitute a “product crisis” exposing the firm to reputational damage, loss of future sales, and legal liability. During such a crisis it is crucial for the firm to quickly and directly communicate its intended message to a wide network of stakeholders, which, in turn, renders corporate social media a potentially useful channel of disclosure. While we document that corporate social media, on average, attenuates the negative price reaction to recall announcements, the attenuation benefits of corporate social media vary with the level of control the firm has over its social media content. In particular, with the arrival of Facebook and Twitter, firms relinquished complete control over their social media content, and the attenuation benefits of corporate social media, while still significant, lessened. Detailed Twitter analysis confirms that the moderating effect of social media varies with the level of firm involvement and with the amount of control exerted by other users: the negative price reaction to a recall is attenuated by the frequency of tweets by the firm, while exacerbated by the frequency of tweets by other users.

The audit market's unique combination of features—its role in capital market transparency, mandated demand, and concentrated supply—means it receives considerable attention from policy makers. We explore the effects of two market scenarios that have been the focus of policy discussions: mandatory audit firm rotation and further supply concentration due to the exit of a “Big 4” audit firm. To do so, we first estimate publicly traded firms' demand for auditing services, allowing the services provided by each of the Big 4 to be differentiated products. We then use those estimates to calculate how each scenario would affect client firms' consumer surplus. We estimate that, for U.S. publicly trade firms, mandatory audit firm rotation would induce consumer surplus losses of approximately $2.7 billion if rotation were required after 10 years and $4.7–5.0 billion if after only four years. We find similarly that exit by one of the Big 4 would reduce client firms' surplus by $1.4–1.8 billion. These estimates reflect only the value of firms' lost options to hire the exiting audit firm; they do not include likely fee increases resulting from less competition among audit firms. The latter could result in audit fee increases between $0.75–1.3 billion per year for mandatory rotation and $0.47–0.58 billion per year for the disappearance of a Big 4 audit firm. Such losses are substantial; by comparison, total audit fees for public firms were $11 billion in 2010.

How should a firm measure a productive asset used as collateral? To answer this question, we develop a model in which firms borrow funds subject to collateral constraints. We characterize the qualities of optimal asset measurements and analyze their interactions with financing needs, collateral constraints, and interest rates. Because of real effects, complete transparency would reduce contracting efficiency and, hence, the measurement must be suitably adapted to credit conditions. The optimal measurement is asymmetric and reports precise information about high collateral values if credit frictions are low, but the reverse if credit frictions are high. Tighter credit market conditions may lead to more opaque measurements and increased investment, in the form of inefficient continuations.

An enduring issue in financial reporting is whether and how salient summary measures of firm performance (“earnings metrics”) affect market price efficiency. In laboratory markets, we test the effects of salient earnings metrics, which vary in how they combine persistent and transitory elements, on investor information search, beliefs about value, offers to trade, and market price efficiency. We find that including transitory elements in salient earnings metrics causes traders to search unnecessarily for further information about these elements and to overestimate their effect on fundamental value relative to a rational benchmark. In contrast, separately displaying persistent elements in earnings increases the accuracy of traders’ value estimates. Prices generally reflect traders’ beliefs about value, and prices are most efficient when transitory elements are excluded from earnings metrics entirely. Our study contributes to research on salience effects in financial reporting by showing that including transitory elements in salient earnings metrics causes inefficient information search and biased beliefs about value that can aggregate to affect market prices. We also contribute to research in experimental markets by showing that redundant disclosure is not always beneficial; redundant disclosure of transitory earnings elements, in particular, appears to have negative consequences for investor behavior and market efficiency.

Using a natural experiment (Regulation SHO), we show that short selling pressure and consequent stock price behavior have a causal effect on managers’ voluntary disclosure choices. Specifically, we find that managers respond to a positive exogenous shock to short selling pressure and price sensitivity to bad news by reducing the precision of bad news forecasts. This finding on management forecasts appears to be generalizable to other corporate disclosures. In particular, we find that, in response to increased short selling pressure, managers also reduce the readability (or increase the fuzziness) of bad news annual reports. Overall, our results suggest that maintaining the current level of stock prices is an important consideration in managers’ strategic disclosure decisions.

We examine the influence of mobile communication on local information flow and local investor activity using the enforcement of statewide distracted driving restrictions, which are exogenous events that constrain mobile communication while driving. By restricting mobile communication across a potentially sizable set of local individuals, these restrictions could inhibit local information flow and, in turn, the market activity of stocks headquartered in enforcement states. We first document a decline in Google search activity for local stocks when restrictions take effect, suggesting that constraints on mobile communication significantly affect individuals’ information search activity. We further find significant declines in local trading volume when restrictions are enforced. This drop in liquidity is (1) attenuated when laws provide substitutive means of mobile communication and (2) magnified when locals have long car commutes and when their daily commutes overlap with regular exchange hours. Moreover, trading volume suffers the most for local stocks with lower institutional ownership, less analyst coverage, and more intangible information. Additional analyses show lower intraday volume during local commute times when mobile connectivity is constrained. Together, our results suggest that local information and local investors matter in stock markets and that mobile communication is an important mechanism through which these elements operate to affect liquidity and price discovery.

We use data from internal assessments of audit quality in a Big 4 firm to investigate the impact of audit firm tenure and auditor‐provided non‐audit services (NAS) on audit quality. We find that first‐year audits receive lower assessments of audit quality and that quality improves shortly thereafter and then declines as tenure becomes very long. Partitioning our sample between SEC registrants and private clients, we find that the decline in audit quality in the long tenure range is attributable to audits of private clients. For audits of SEC registrants, the probability of a high quality audit reaches its maximum with very long tenure. We also find that audit fees are discounted for first‐year audits but auditor effort is higher than in subsequent years. We find no association, on average, between total NAS fees and audit quality in the full sample but observe that total NAS fees are positively associated with quality for SEC registrants and negatively associated with quality for privately held clients. Our findings are important for regulatory policies related to audit firm tenure and auditor‐provided NAS.

Auditors experience significant problems auditing complex accounting estimates, and this increasingly puts financial reporting quality at risk. Based on analyses of the specific errors that auditors commit, we propose that auditors need to be able to think more broadly and incorporate information from a variety of sources in order to improve audit quality for these important accounts. We experimentally demonstrate that a deliberative mindset intervention improves auditors’ ability to identify unreasonable estimates by improving their ability to identify and incorporate into their analyses contradictory information from diverse parts of the audit and improving their ability to think critically about the evidence. We perform additional analyses to demonstrate that our intervention improves auditor performance by causing them to think differently rather than simply to work harder. We demonstrate that critical thinking can improve the identification of unreasonable estimates and, in doing so, we provide new directions for addressing audit quality issues.