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.

Two critical aspects of the model of auditor expertise development in Tan and Libby [1997] are that audit firms do not value tacit knowledge in inexperienced auditors but do value it in experienced auditors. We update the former and extend the latter. Our paper predicts and finds that audit firms now do value tacit knowledge in inexperienced auditors, especially when their supervisors have higher tacit knowledge. Our proxies of value include higher promotability assessments, annual evaluations, and cash bonuses. Our paper also extends Tan and Libby [1997] by positing that enhanced development of expertise and audit firm human capital are two reasons audit firms value tacit knowledge in experienced auditors. As predicted, higher tacit knowledge in experienced auditors is positively associated with higher tacit knowledge acquisition by their inexperienced subordinates and with stronger firm commitment of inexperienced subordinates having higher tacit knowledge.

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.

Regulation Fair Disclosure (FD), imposed by the Securities and Exchange Commission in October 2000, was designed to prohibit disclosure of material private information to selected market participants. The informational advantage such select participants gain is unclear. If multiple “insiders” receive identical information, private information is immediately incorporated in price and each insider has zero expected profit. If, on the other hand, Regulation FD has curtailed the flow of information from firms, private information becomes longer‐lived and more valuable. Hence, market makers will demand increased compensation by widening the adverse selection component of the bid‐ask spread. We identify the cost components of the bid‐ask spread for a sample of NASDAQ stocks surrounding the implementation of Regulation FD. Controlling for other factors affecting the spread, we find that adverse selection costs increase approximately 36% after Regulation FD. We interpret our finding as Regulation FD failing to achieve one of its desired objectives.

We experimentally study the deception detection capabilities of experienced auditors, using CEO narratives from earnings conference calls as case materials. We randomly assign narratives of fraud and nonfraud companies to auditors as well as the presence versus absence of an instruction explaining that cognitive dissonance in speech is helpful for detecting deception. We predict this instruction will weaken auditors’ learned tendency to overlook fraud cues. We find that auditors’ deception judgments are less accurate for fraud companies than for nonfraud companies, unless they receive this instruction. We also find that instructed auditors more extensively describe red flags for fraud companies and more accurately identify specific sentences in narratives that pertain to underlying frauds. These findings indicate that instructing experienced auditors to be alert for cognitive dissonance in CEO narratives can activate deception detection capabilities.

This paper explores U.S. public firms’ cryptocurrency holdings and accounting practices from 2013 to 2022 against the backdrop of the recently enacted crypto accounting rule, ASU 2023‐08. Descriptive analyses suggest exponential growth in corporate crypto holdings and significant variation in crypto accounting practices, underscoring the rule's necessity. Hypothesis tests using the pre‐rule data reveal three insights with direct relevance to the rule. First, firms appear to view crypto assets more akin to investments than intangible assets, consistent with the rule's mandate of the fair value model. Second, Big 4 auditors steer firms toward the impairment model and less detailed presentation choices. This conservative approach is unlikely to meet the new rule's goal of providing the most decision‐useful information. Third, increased liquidity of crypto markets prompts the use of the fair value model and a more detailed presentation, consistent with the rule's focus on more actively traded tokens. However, within our sample, we find some evidence consistent with fair value reporting increasing stock return volatility and no evidence that it enhances earnings informativeness.

We examine the influence of investor sentiment on managers’ discretionary disclosure of “pro forma” (adjusted) earnings metrics in earnings press releases. We find that managers’ propensity to disclose an adjusted earnings metric (especially one that exceeds the GAAP earnings number) increases with the level of investor sentiment. Furthermore, our analyses suggest that, as investor sentiment increases, managers: (1) exclude higher levels of both recurring and nonrecurring expenses in calculating the pro forma earnings number and (2) emphasize the pro forma figure by placing it more prominently within the earnings press release. Additional analyses indicate that the association between investor sentiment and managers’ pro forma disclosure decisions at least partly reflects opportunistic motives. Finally, we find that managers’ own sentiment‐driven expectations also play a role in their pro forma disclosure decisions.

The Organization for Economic Cooperation and Development introduced country‐by‐country reporting (CbCR) for multinational enterprises (MNEs) to help tax authorities combat tax‐motivated income shifting. This study uses confidential U.S. tax administrative data from 2011 to 2018 to examine the effect of U.S. CbCR adoption on the tax‐motivated income shifting and real activities of U.S. MNEs. We first document that while U.S. CbCR provides the Internal Revenue Service with incremental information about the location of U.S. MNEs’ global activities relative to existing U.S. tax return disclosures, substantial overlap exists between U.S. CbCR and existing disclosures. In contrast with prior CbCR studies in cross‐country settings, we fail to find evidence of a change in U.S. MNEs’ tax‐motivated income shifting or a reallocation of real activities based on tax incentives in response to U.S. CbCR using multiple empirical approaches. Overall, our study leverages U.S. tax administrative data to provide insights into the impact of the CbCR initiative on U.S. MNEs.