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Erschienen in: Review of Accounting Studies 1/2024

18.10.2022

The disclosure quality consequences of copying standard-setter guidance

verfasst von: Rachel Scott, A. Nicole Skinner, Kristen Valentine

Erschienen in: Review of Accounting Studies | Ausgabe 1/2024

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Abstract

We examine the disclosure quality consequences of copying FASB guidance when drafting initial narrative disclosures. Specifically, we study first-time disclosures after three accounting standard changes with significant narrative disclosure requirements (ASU 2014-09, SFAS 161 and SFAS 157). We find robust evidence that initial disclosures similar to FASB guidance contain less firm-specific information and are less readable, on average. Moreover, we find some evidence that copying FASB guidance when drafting initial disclosures is associated with muted analyst revisions, suggesting that the resultant disclosures may be less useful to analysts. However, we also find that firms that copy FASB guidance when drafting new disclosures receive fewer SEC comment letters related to the new standard, indicating that firms enjoy some benefit from imitating the FASB. These results shed new light on the firm’s information production process and should be important to regulators providing implementation guidance, managers drafting initial disclosures, and academics researching accounting standard changes.

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Fußnoten
1
We define disclosure quality as the decision usefulness of the information provided in firms’ disclosures. We consider both our direct measures of disclosure attributes (firm specificity and readability) as well as market/regulatory measures (returns, analyst revisions and comment letters) to be proxies for disclosure quality.
 
2
An alternative, though related, question is whether the FASB should provide detailed disclosure examples to firms. To investigate the feasibility of addressing this research question, we examine the 50 standards that went into effect after 2006 with ubiquity scores > 2% from the appendix of Monsen 2022. Of the 39 standards that appear to have meaningful disclosure components, there was only one for which we could not find a FASB example. For this reason, examining variation across accounting standards in the FASB’s provision of examples is not tractable. We therefore address standard-setters’ use of examples by exploiting variation in the extent to which firms copy FASB examples in our additional analysis (see Table 5).
 
3
Although initial disclosures are required in the first 10-Q for fiscal years beginning after the effective date, we also calculate all of our similarity measures and disclosure attributes using the first 10-K disclosures. Mean SimtoFASB calculated using 10-K disclosures is 0.409. In untabulated analysis, we also show the results in Table 3 are robust to this alternative research design choice.
 
4
We instructed coders to look for identifying keywords and not necessarily commonly occurring words in the standard-specific disclosures. Accordingly, the single instance of “revenue” does not appear on the ASU 2014-09 keyword list, as the word can be used in many contexts other than a discussion of revenue recognition practices.
 
5
While this approach does have at least two key benefits, there will be noise in how we identify these disclosures. Therefore, for robustness, we hand collect derivatives disclosures and corroborate that our primary result is robust to using this alternative corpus to calculate our key measures. See the discussion of Table 6 in Section 4.1.3 for further detail.
 
6
A “stem word” is a portion of a word whose extensions can include typical variations. For example, the stem of “disclose,” “disclosure” and “disclosures” would be “disclos.” Stop words are uninformative words such as “and,” “the,” and “of.” Specifically, we exclude the 121 generic stop words from the Loughran and McDonald dictionary.
 
7
Due to the nature of the content of these initial disclosures, managers may arbitrarily end up with similar tetragrams in their disclosures, and this phenomenon could vary by standard. If true, some firms could have overstated similarity scores. To the extent this is specific to the content of the mandatory disclosures, we expect all firms’ disclosures to be equally subject to this concern, and these false positives should not vary with variables of interest. Moreover, we standardize within standard to minimize concerns about comparing disclosures across standards.
 
8
Because we are including different samples across different time windows, we standardize all variables within standard subsample for use in regressions (i.e., mean equal to zero, standard deviation equal to one). We report natural variable distributions in Table 2.
 
9
BOG is another commonly used (and, in some ways, more precise) measure of 10-K readability (i.e., Bonsall et al. 2017). However, because the measure is only available for entire SEC filings and created using proprietary software, we cannot use BOG for our analysis. We do, however, include the prior year’s 10-K BOG score as a proxy for the complexity and readability of firms’ disclosures more generally.
 
10
Due to the potential for longer measurement windows to include confounding information events, we also assess the robustness of our results to using 30 days prior to the 10-Q release and 30 days after, 15 days before and after, and 30 days before and 15 days after. We find our inferences are unchanged (untabulated).
 
11
We count all SEC comment letters related to the new standard’s adoption, even if those comment letters are continuing conversations between the firm and the SEC on a particular issue, assuming that, if the regulatory question requires follow-up from the SEC, then the issue is likely more severe.
 
12
Our results are virtually the same when we include standard or industry by standard fixed effects (in place of standardizing variables) to control for any cross-sample variation in firm characteristics or disclosure choices (untabulated).
 
13
We could also proxy for first movers with an early adopter indicator. Early adopters of new accounting standards can provide new disclosures as far as one year in advance of peer firms. To corroborate that true early adopters are not driving the variation in SimtoFASB, we hand collect the adoption dates for the ASU 2014-09 subsample. We find only 18 early adopters, concentrated in two SIC3 industries (10 of the 18 early adopters are from the drugs and computer and data processing services industries). Interestingly, the early adopters have lower SimtoFASB scores (mean for early adopters = 0.226 versus 0.304 for remaining ASU 2014-09 firms p < 0.10). Given how few early adopters we find via hand collection, this evidence suggests these firms are not playing a material role in our analysis. Moreover, because we only identified a few early adopters in the ASU 2014-09 sample and corroborate that our results are robust when we exclude them, we do not hand collect early adopters for SFAS 157 and 161.
 
14
While the aim of this study is to examine the disclosure quality consequences of firms copying FASB guidance, the determinants of this decision are unknown. We provide an initial determinants analysis in Appendix 4.
 
15
Because our SFAS 161 sample does not converge past a single moment, we balance on a single moment throughout our analyses. However, the results in Table 3 are robust to balancing on three moments (untabulated).
 
16
We have also replicated the results in Table 4 but using the examples section only (untabulated). In Table 4, the results are inferentially similar. While the coefficient on SimtoFASB remains negative in the FirmSpecific regression using the revenue recognition sample, it is no longer statistically significant (t-statistic = -1.489). The other coefficients of interest are the same sign and statistically significant.
 
17
These tests are performed using a smaller sample than that used in Table 3, due to the additional restrictions imposed by using returns data and analyst following.
 
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Metadaten
Titel
The disclosure quality consequences of copying standard-setter guidance
verfasst von
Rachel Scott
A. Nicole Skinner
Kristen Valentine
Publikationsdatum
18.10.2022
Verlag
Springer US
Erschienen in
Review of Accounting Studies / Ausgabe 1/2024
Print ISSN: 1380-6653
Elektronische ISSN: 1573-7136
DOI
https://doi.org/10.1007/s11142-022-09728-7

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