We show that social capital has a strong mitigating effect on financial adviser misconduct in the United States. Moreover, advisers who have committed misconduct are also more likely to relocate to counties with a relatively lower level of social capital than that of his previously residing...

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...

Using a large sample over the period 1986 to 2017, we show that companies with higher exposure to climate change risk induced by sea-level rise (SLR) tend to acquire firms that are unlikely to be directly affected by SLR. We find that acquirers with higher SLR exposure experience significantly...

We use the universe of U.S. job postings to construct a firm-level index that assesses each company's work from home (WFH) suitability, and study its impact on firms' resilience during the recent COVID-19 pandemic. Using a difference-in-differences framework, we find strong evidence that,...

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 employ a sharp regression discontinuity design to identify the causal effects of investor base disclosure on funding success and post-funding outcomes. Starting from February 2016, Kickstarter discloses backer statistics including geographic locations and previous funding experience of the...

This paper employs the theoretical lens of social capital to examine social distancing behavior during the COVID-19 pandemic. By exploiting daily mobile GPS location data, we provide strong evidence for the diverse effects of the two constituents of social capital, civic norms and social...

We develop novel empirical measures of textual comparability that capture key topics of the entire 10-K text and incorporate the effect of economic events. For validation, we show that the likelihood of accounting information users (financial analysts, Internet-search users and corporate boards)...

We study whether mutual fund managers gain an edge through thematic investment strategies—investing in stocks that may benefit from a particular theme. We use textual analysis of 10-K filings to identify stocks exposed to different semantic themes and measure a mutual fund’s thematic...