We examine the information transmission role of stock recommendation revisions by sell-side security analysts. Revisions are associated with economically insignificant mean price reactions and often piggyback on recent news, events, long-term momentum, and short-run contrarian return predictors,...

In this study, we analyze the stock market reaction to 35 events associated with 32 publicly traded companies from six countries that have announced cryptocurrency acquisitions, selling, or acceptance as a means of payment. Our analysis focuses on tra‑ ditional frms whose core business is...

We find that analysts are more likely to downgrade stocks when prices approach the 52-week high. The results are stronger for stocks with higher information asymmetry but moderated by analysts' reputation, work experience, and educational background. We also find a strategy that shorts stocks...

Before shares of a company are sold to the general public on a security exchange for the first time, regulatory publication requirements force U.S. firms to file an initial public offering prospectus. While accounting information in IPO filings are closely studied by investors and analysts,...

We use the presence of a Wikipedia article for initial public offering (IPO) firms to test theories of information asymmetry and investor awareness. While we find limited support for the former, our results provide strong support for theories of investor awareness. Specifically, IPO firms with a...

In this paper, we develop a model in which overconfident market participants and rational speculators trade against trend-chasers. We show that the growth and the burst of a financial bubble stem from positive feedback trading. However, the presence of overconfident traders and the risk aversion...

Using a novel database, we show that the stock-price impact of analyst trade ideas is at least as large as the impact of stock recommendation, target price, and earnings forecast changes, and that investors following trade ideas can earn significant abnormal returns. Trade ideas triggered by...

Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...

Analysts often update their recommendations following corporate news. Questions have been raised regarding analysts' ability to generate new information beyond recent corporate events. Employing a comprehensive database on corporate news we show that only a small minority of 27.9% of all...