The Informativeness of Sentiment Types in Risk Factor Disclosures: Evidence from Firms with Cybersecurity Breaches

被引:1
|
作者
Tsang, Ronald C. W. [1 ]
Baldwin, Amelia A. [2 ]
Hair Jr, Joseph F. [2 ]
Affuso, Ermanno [2 ]
Lahtinen, Kyre Dane [3 ]
机构
[1] Mercer Univ, Stetson Hatcher Sch Business, Atlanta, GA 30341 USA
[2] Univ S Alabama, Mitchell Coll Business, Mobile, AL USA
[3] Wright State Univ, Raj Soin Coll Business, Dayton, OH USA
关键词
cybersecurity; market reactions; cumulative abnormal returns; trading volume; sentiment analysis; textual analysis; risk factors; management's discussion and analysis; PLS-SEM; genetic matching; TEXTUAL ANALYSIS; CAPITAL-MARKETS; PLS; MANAGEMENT; FINANCE; IMPACT; TALK;
D O I
10.2308/ISYS-2022-014
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study examines the degree to which Loughran and McDonald (LM) word lists are informative at the item level of SEC filings, such as risk factors (RF) and management's discussion and analysis (MDA) disclosures in 10-X reports. In this context, we explore if sentiment types are informative when associated with other material events, namely cybersecurity breaches. Our results support the assertion that sentiment types, beyond positive and negative, are informative at the individual disclosure item level, as tested in the RF and MDA sections. We also find that investors respond to different types of sentiment between RF and MDA. We find an economically significant estimated average economic impact of $469 million/firm. We further contribute to the literature by applying novel statistical methods that advance empirical accounting literature.
引用
收藏
页码:157 / 190
页数:34
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