Nam, Jiwon

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Member of: Graduate College
Person Preferred Name
Nam, Jiwon
Model
Digital Document
Publisher
Florida Atlantic University
Description
Since 2005 corporate managers must discuss their firm’s significant risk factors that may materially and unfavorably affect corporate outcomes in the Item 1A Risk Factor Disclosure (RFD) section of their 10-K filings. However, there is limited research on whether firms change the sentiment of their mandatory disclosures after a significant economic event. I use bankruptcy announcements as a unique setting in this study to assess non-announcing firms’ responses to these events as a bankruptcy announcement generates significant concern to non-announcing industry peer firms. I explore whether industry peers change four measures of sentiment (i.e., length, negative tone, specificity, forward-looking statements) of Item 1A RFDs after a rival firm’s bankruptcy filing. Using textual analysis methodology, I find that industry peer firms have shorter, less negative, and less forward-looking RFDs after another firm’s bankruptcy announcement. These results imply that industry peers are likely to adjust their tone of mandatory filings (i.e., Item 1A RFDs) in response to a rival firm’s bankruptcy announcement. I further provide evidence that firms do not use separate subsections to disclose their firm- and industry-specific risks within their Item 1A RFDs. Lastly, the lengths of financial, litigation, other-idiosyncratic, and other-systematic topic disclosures significantly decrease for non-announcing industry peers while the length of tax relevant risk topic does not significantly change after a bankruptcy filing. This study adds to mandatory research by identifying the spillover effect of a bankruptcy announcement on Item 1A RFDs. This research also contributes to accounting literature by providing evidence that non-announcing industry peers significantly adjust the sentiment of their risk factor information. Market participants including investors, shareholders, and financial analysts can improve investment decision accuracy by analyzing the industry peers’ risk factor information.