Using the BJZZ (2021) subpenny transaction price algorithm, we identify a broad swath of marketable retail investor orders in the U.S. market between January 2020 and June 2021. During the pandemic period, the retail trading volume we identify increases from 10% of total market volume to about...

Using intraday 2015-2019 short sale data from CBOE and FINRA, we examine the intraday time patterns and information content of on-exchange and off-exchange shorting. Midday short sales and those near the open strongly and negatively predict the cross-section of stock returns at daily horizons...

Using 2020-2021 data from social media platform Reddit, we examine connections among stockprices, retail trading, short-selling and social media activity. Higher Reddit traffic, more positivetone, and higher Reddit connectedness predict higher returns, greater and more positive retail orderflow,...

We study a set of trading restrictions imposed by Robinhood and other retail-oriented broker-dealers in 38 stocks, including GameStop. Restrictions limit equity and/or options positions. Stock price effects are large, with CARs averaging -13.54% within two hours after a stock’s first trading...

Retail investors are heterogeneous, with vast differences in wealth, skills and demographics. Using comprehensive proprietary account-level data on trading and holdings from the Shanghai Stock Exchange from 2016 to 2019, we separate tens of millions of retail investors into five groups by their...

Retail investors are heterogeneous, with vast differences in wealth, skills and demographics. Using comprehensive proprietary account-level data on trading and holdings from the Shanghai Stock Exchange from 2016 to 2019, we separate tens of millions of retail investors into five groups by their...

We provide an easy method to identify purchases and sales initiated by retail investors using recent, widely available U.S. equity transactions data. Individual stocks with net buying by retail investors outperform stocks with negative imbalances by approximately 10 basis points over the...

Using NYSE short-sale order data, we investigate whether short-sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24%...

This paper summarizes the discussions that took place at a recent one-day listening conference on this and related questions hosted by Columbia Business School's Program for Financial Studies and sponsored by a grant from Norges Bank Investment Management under the Norwegian Finance Initiative...

The total effect of a regulatory change consists of direct effects and indirect effects (spillovers), but the standard difference-in-difference approach measures only direct effects and ignores potential indirect effects. By examining the short-sale aggressiveness during the 2007 full repeal of...