Asymmetric Effects of Regulation FD on Management Earnings Forecasts

2015 ◽  
Vol 91 (1) ◽  
pp. 119-152 ◽  
Author(s):  
Frank Heflin ◽  
William J. Kross ◽  
Inho Suk

ABSTRACT We document that the effect of Regulation Fair Disclosure (FD) on public management earnings forecasts (MFs) is asymmetric. Our results suggest that FD increased managers' use of MFs as a downward-guidance mechanism to help achieve meeting or beating earnings expectations. This effect is more pronounced when existing analyst forecasts are optimistic and when firms had selective disclosure policies pre-FD. We also find that the increased use of MFs as downward guidance leads to post-FD reductions in MF quality (accuracy and informativeness) for the downward guiding MFs that are most likely meet/beat motivated, while quality improves for upward-guiding MFs. Finally, our evidence suggests that results from prior research about FD-induced changes in information environment variables, such as analyst forecast quality and investor trading activities, depend on whether the firm issues MFs and whether those MFs are downward guiding. Data Availability: All data are available from public databases identified in the paper.

2018 ◽  
Vol 93 (6) ◽  
pp. 95-126 ◽  
Author(s):  
Sean Shun Cao ◽  
Guang Ma ◽  
Jennifer Wu Tucker ◽  
Chi Wan

ABSTRACT We introduce a firm-specific measure of the technological aspect of competition—technological peer pressure—and examine firm-initiated product development-related press releases. We argue that empirical examinations of the theorized negative relation between competition and disclosure require the type of voluntary disclosure to be relevant to the dimension of competition under examination to ensure that firms incur significant proprietary costs of disclosure. In other words, many types of disclosure do not provide actionable information to competitors and, thus, should not be affected by that dimension of competition. We expect a negative relation between technological peer pressure and product disclosure because the latter reveals firms' strategies, allocations, and progress of technological investments in product development to competitors. In contrast, we do not expect a negative relation between technological peer pressure and management earnings forecasts—the most common type of voluntary disclosure used in accounting research. Our test results are consistent with these expectations. Data Availability: All data are available from public sources. Our TPP Measure is available for download, please see the link in Appendix G.


2015 ◽  
Vol 35 (2) ◽  
pp. 167-185 ◽  
Author(s):  
Yi (Ava) Wu ◽  
Mark Wilson

SUMMARY The accuracy and other properties of analyst earnings forecasts represent potentially useful proxies for the impact of audit quality on client financial reports. Extant research in the auditing literature, however, is characterized by diametrically opposite predictions and inconsistent findings regarding the relationship between audit quality and analyst forecast accuracy. We argue that a potential reason for the inconsistency in the literature reflects these studies' focus on end-of-year forecast accuracy, which is subject to competing effects of audit quality. High-quality auditors may simultaneously improve forecast accuracy through their impact on the decision usefulness of clients' prior period reports, and reduce forecast accuracy by constraining client attempts to manage earnings in the direction of the consensus forecast. We argue and present evidence in support of the conjecture that analysts' beginning-of-year forecasts are a superior metric for identifying the impact of audit quality on the properties of analyst forecasts because the decision usefulness effect of audit quality should be dominant with respect to those forecasts. Data Availability: Data are available from sources identified in the article.


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