We use computational linguistics to develop a dynamic, interpretable methodology that can detect emerging risks in the financial sector. Our model can predict heightened risk exposures as early as mid 2005, well in advance of the 2008 financial crisis. Risks related to real estate, prepayment,...

Using word content analysis, we decompose information in the IPO prospectus into its standard and informative components. Greater informative content, as a proxy for pre-market due diligence, results in more accurate offer prices and less underpricing because it decreases the issuing firm's...