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Disclosure Scriptability

delete2018-04-10
delete20
PRE
AI
K
Kristian D. Allee *
M
Matthew D. DeAngelis
J
James Moon
DOI:10.1111/1475-679X.12203delete
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Abstract

Abstract

En 中文
In response to the increasing use of computer programs to process firm disclosures, this registered report develops a new measure of scriptability that reflects computerized, rather than human, information processing costs. We validate our measure using SEC filing-derived data from prior research and identify firm and disclosure characteristics related to it. In our planned hypothesis tests, we find some evidence that the speed of the market response to filings increases with scriptability, but find little evidence that scriptability affects the incidence and speed of news dissemination by Dow Jones. In additional analyses, we find that scriptability exhibits both positive and negative associations with changes in information asymmetry between market participants, depending on the filing, trading window, and measure examined. We also find little evidence that XBRL interacts with scriptability in a meaningful way. Overall, our study broadens our understanding of information processing costs and provides opportunities for new avenues of research.
Keywords:
disclosure
textual analysis
financial reporting
information processing costs
high-frequency trading
XBRL
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Journal

Journal of Accounting Research cover
Journal of Accounting Research
IF:
6.3
Papers:
1.7K
Citations:
1.3W

Organization

U
University of Arkansas System
Scholars:
1.9W
Papers: 1.5W
Citations: 295
U
university of arkansas fayetteville
Scholars:
5.2K
Papers: 4.5K
Citations: 2