2017
DOI: 10.1016/j.jacceco.2017.07.002
|View full text |Cite
|
Sign up to set email alerts
|

The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation

Abstract: While characteristics of quantitative accounting data have received substantial attention in the academic literature, much less is known about the accompanying text. We document marked trends in 10-K disclosure over the period 1996-2013, with increases in length, boilerplate, stickiness, and redundancy and decreases in specificity, readability, and the relative amount of hard information. We use Latent Dirichlet Allocation (LDA) to examine specific topics and find that new FASB and SEC requirements explain mos… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

5
245
0
3

Year Published

2017
2017
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 571 publications
(288 citation statements)
references
References 35 publications
5
245
0
3
Order By: Relevance
“…These results add a new perspective on boilerplate language by suggesting that such language reflects structural aspects of a bank that change slowly over time. It is also noteworthy that while the use of boilerplate language has increased significantly over time (Dyer et al, 2017), we find that boilerplate similarity across banks does not exhibit an increasing trend and the informative of such similarity for predicting future tail comovement has not deteriorate through time.…”
mentioning
confidence: 69%
See 4 more Smart Citations
“…These results add a new perspective on boilerplate language by suggesting that such language reflects structural aspects of a bank that change slowly over time. It is also noteworthy that while the use of boilerplate language has increased significantly over time (Dyer et al, 2017), we find that boilerplate similarity across banks does not exhibit an increasing trend and the informative of such similarity for predicting future tail comovement has not deteriorate through time.…”
mentioning
confidence: 69%
“…We begin by separating our primary measure, AvgCos_BUSMDA, into boilerplate and non-boilerplate similarity following the methodology from Lang and Stice-Lawrence (2015) and Dyer et al, (2017). Specifically, a sentence is designated as boilerplate if it contains a 4-word phrase which appears in more than 60% of the BUS or MD&A disclosures of all banks in a given year.…”
Section: Relative Information Content Of Boilerplate and Non-boilerplmentioning
confidence: 99%
See 3 more Smart Citations