We use a proprietary dataset to test the implications of several asymmetric information models on how short-lived private information affects trading strategies and liquidity provision. Our identification rests on information acquisition before analyst recommendations are publically announced....

Yes. Chung, Lee, and Rösch (2020) show that liquidity for large orders improves for the treated firms with larger tick sizes after the implementation of the Tick Size Pilot Program. Accordingly, we hypothesize and find that the increased tick sizes of treated firms reduce execution costs of...

We examine the influence of investor conferences on firms' stock liquidity. We find that firms participating in conferences experience a 1.4% to 2.8% increase in stock liquidity compared to non-conference firms. Consistent with investor conferences improving firm visibility, the increase in...

I analyze 18510 SEC EDGAR Form 10-K (annual reports), for NASDAQ, NYSE and AMEX (NYSE MKT) stocks, along with 176565 SEC EDGAR Form 13-F (quarterly reports of institutional investors holdings), and analysts' recommendations, from 2001 until 2015. I find that (i) 10-K pessimism negatively affects...

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...

We identify an important channel through which political information propagates into capital markets—Washington policy analysts (WAs). WAs monitor political developments and produce research to interpret the impact of these events. Institutional clients generate superior returns on their...

In this research I empirically study the effects of information acquisition by investors or traders on analysts' forecast bias. Based on the theoretical literature on sell-side analysts, I argue that forecast bias is correlated to investors' information gathering, in two opposite directions. On...

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...

This study investigates the relationship between the comprehensibility of a firm's annual report and its stock return synchronicity in the Indian market. The study employs the readability of annual reports as a measure for the cost of information processing. The findings suggest that firms with...

This paper investigates the importance of speed for technical trading rule performance for three highly liquid ETFs listed on NASDAQ over the period January 6, 2009 up to September 30, 2009. In addition we examine the characteristics of market activity over the day and within subperiods...