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,...

In this study, we investigate whether and to what extent institutional shareholders' political values influence their investees' environmental disclosure and performance. Using employees' political donation data, we construct institutional investors' political ideology score, which higher...