Abstract
Firms often disclose information security risk factors in public filings such as 10-K reports. The internal information associated with disclosures may be positive or negative. In this paper, we are interested in evaluating how the nature of security risk factors disclosed, which is believed to represent the internal information regarding information security, is associated with future breach announcements. For this purpose, we build a decision tree model, which classifies the occurrence of future security breaches based on the textual contents of the disclosed security risk factors. The model is able to accurately associate disclosure characteristics with breach announcements about 77% of the time. We further explore the contents of the security risk factors using text mining techniques to provide a richer interpretation of the results. The results show that the security risk factors with action-oriented terms and phrases are less likely to be related to future incidents. We also conduct a cross-sectional analysis to study how the market interprets the nature of information security risk factors in annual reports at different time points. We find that the market reaction following the security breach announcement is different depending on the nature of disclosure. Thus, our paper contributes to the literature in information security and sheds light on how market participants can better interpret security risk factors disclosed in financial reports at the time when financial reports are released.
