The aim of this study is to introduce an innovative text mining approach to assess firms' risks using unstructured textual disclosure from annual reports. Specifically, we use Natural Language Processing techniques to extract firms' self-identified risks including financial, strategic,...

This study examines Big N auditors' client risk management strategy in response to the risk of upward (i.e., income-increasing) earnings management in the post-SOX era. Specifically, we empirically study the relation between clients' signed discretionary accruals and subsequent audit pricing and...