We study how mutual fund managers gain an edge in selecting stocks in an era of globalization. We use textual analysis to construct a new measure that captures a mutual fund's offshore exposure concentration through holding U.S. multinational firms. The proposed offshore concentration index...

We use unsupervised machine learning techniques of natural language processing to measure the semantic relatedness of firms’ narrative risk disclosures (NRD) in the “risk factor” section of their annual reports. We find strong return predictability among firms with overlapping NRD. This...

Based on 10-K textual analysis, we assemble firm-level offshore sales networks (OSN) and find strong return predictability among industry participants that have overlapping offshore sales activities. This intra-industry return predictability based on offshore sales networks is distinct from that...

We test the hypothesis that low visibility shocks to text-based network industry peers can explain industry momentum. We consider industry peer firms identified through 10-K product text and focus on economic peer links that do not share common SIC codes. Shocks to less visible peers generate...

We examine how product market competition affects firm cash flows and stock returns in industry booms and busts. In competitive industries, we find that high industry-level stock-market valuation, investment and new financing are followed by sharply lower operating cash flows and abnormal stock...

We examine the importance of firm integration to outcomes of mergers and acquisitions using new ex ante product-based measures of firm integration. Our framework allows us to measure ex ante integration risk for both observed acquisitions and proposed acquisitions that might not materialize. As...