Knowledge that Transforms

Effective tax rates (ETRs) are often used to compare tax avoidance across firms and time. Using firms' detailed tax footnote data, we find that the effect of valuation allowances (VA) related to prior-period losses biases GAAP ETRs. This downward bias explains almost all of the downward trend in domestic firms' ETRs over the last 20 years. We also find that VAs explain cross-sectional differences in ETRs for both domestic and multinational firms. We show this bias extends to cash ETRs and the Henry and Sansing (2018) tax avoidance measure. We develop a methodology for substantially reducing the bias in both time-series and cross-sectional analyses of cash and GAAP ETRs. Overall, our results suggest firms’ loss histories and GAAP rules influence inferences from tax avoidance proxies.

We study the role of reputation in auditor-client matching. Using 1.2 million employment records from US broker-dealers, we find that broker-dealer clients of the same auditor have similar financial adviser misconduct profiles. Our estimates indicate that variation in client misconduct behavior is nearly half as important as variation in client size in explaining matches. Auditors adjust their portfolios when presented with new information about client behavior, and those with the most significant reputation concerns are least likely to deal with high misconduct clients. Finally, we find that an auditor's reputation for accepting high misconduct clients predicts their new clients' future misconduct. Together, our results present new evidence on how reputation affects audit relationships, and the consequences of auditors' reputation concerns for client behavior. Our results also indicate an unintended consequence of audit mandates: non-discerning auditors emerge to serve clients with low endogenous demand for auditing.

Many studies report that audit fees are discounted in the year of an auditor change and regulators have long been concerned that such fee discounting could impair audit quality. We find significant bias in the way studies have tested for fee discounting. The bias exists because interim procedures are usually performed by both the predecessor and successor auditors but only the successor's fee needs to be disclosed. Accordingly, the disclosed fee during the auditor change year usually relates to a partial year of auditing services. We find that the evidence for fee discounting disappears after correcting for this measurement bias.

We examine the role of concurrent information in the striking increase in investor response to earnings announcements from 2001 to 2016, as measured by return variability and volume following Beaver (1968). We find management guidance, analyst forecasts, and disaggregated financial statement line items are more frequently bundled with earnings announcements, and each of these items explains part of the increase in market response. Furthermore, collectively, these concurrent information releases explain a substantial fraction of the increase in market response to earnings announcements since 2001. This is in contrast to the decline in market response to management guidance issued separately from earnings and the much smaller increase in market response to analyst forecasts issued separately from earnings over this time. The findings indicate that information arrival at earnings announcement dates has increased significantly over the past two decades, and that key components of this are increased disclosures by management of guidance and financial statement line items and forecasts by analysts.

The literature has used small samples to show that fast trading or low latency trading (LLT) improves efficiency at extremely high frequencies. However, it is not clear whether LLT driven high frequency improvements in efficiency can impact corporate decision making and investor risk sharing or hedging, which are low frequency processes. This paper uses a comprehensive cross-sectional and time-series sample to provide evidence that LLT enhances efficiency around earnings announcements. Low latency traders trade aggressively at the time of the earnings announcements, such that the information in earnings surprises is quickly incorporated into prices and the post-announcement drift is reduced.

Based on a linear provision/charge-off association and V-shaped scatterplots of these variables against nonperforming loan changes, Basu et al. (2020) argue that nonperforming loan changes mis-measure credit quality and linear provision models are mis-specified. They conclude that residual asymmetry controlling for charge-offs results from loan heterogeneity and the real estate crisis. Using additions to nonaccruals to measure credit quality, we find a linear association with provisions, that controlling for charge-offs induces misspecification, and no evidence of provision asymmetry. These results highlight the importance of basing hypotheses and causal models on theoretical underpinnings rather than on plots subject to known fallacies.

We examine how the media influences retail trade and market returns during the “quiet period” that follows a firm's IPO. We find that more media coverage during this period is associated with more purchases by retail investors and that such purchases are attention-driven, rather than information-based. Further, these retail trades are negatively associated with stock returns at the firm's first earnings announcement post-IPO. Our results suggest that media coverage, combined with market frictions that limit price efficiency in the post-IPO period, leads to worse investing outcomes for retail investors.