Not all insiders are the same; some are more effective than others in processing the information they have access to, and invest their own wealth accordingly. We used a database with transactions from the U.K. market to identify insiders with superior market timing abilities. For the period 1994...

To date, investors' efforts to ‘look inside' a company's culture have been hampered by a lack of data. This study seeks to overcome these limitations by employing a computational linguistics technique to infer employees' perceptions from social media. Our study highlights the merits of textual...

In this study, we conduct a textual analysis of media news for a sample of Chinese ADRs and compare the topics discussed by English- and Chinese-language media outlets. Our findings suggest that a large proportion of corporate governance news articles published by Chinese media outlets appear to...

The intangible nature of Corporate Social Responsible (CSR) issues has typically hindered financial analysts' abilities to integrate such information into investment models. To address this limitation, we employ a probabilistic topic model known as Latent Dirichlet Allocation (LDA) to infer...