We study the trading of individual investors using transaction data and identifying buyer- or seller-initiated trades. We document four results: (1) Small trade order imbalance correlates well with order imbalance based on trades from retail brokers. (2) Individual investors herd. (3) When measured annually, small trade order imbalance forecasts future returns; stocks heavily bought underperform stocks heavily sold by 4.4 percentage points the following year. (4) Over a weekly horizon, small trade order imbalance reliably predicts returns, but in the opposite direction; stocks heavily bought one week earn strong returns the subsequent week, while stocks heavily sold earn poor returns. (JEL G11, G12, G14) A central question in the debate ove...
This paper investigates a unique dataset that enables us to determine the aggregate buy and sell vol...
This paper investigates the dynamic relation between net individual investor trading and short-horiz...
This paper examines how high-frequency trading decisions of individual investors are influenced by p...
Using a database of more than 1.85 million retail investor transactions over 1991-1996, we show that...
In 1950, 91 % of common stock in the U.S. was owned directly by individual inves tors. Today, that ...
We show that retail trading activity has a positive effect on the volatility of stock returns, which...
In price-optimism models, differences of opinion lead to stock overvaluation, as optimistic investor...
Haas School of Business, UC-Berkeley. We are extremely grateful to the BSI-Gamma foundation for prov...
We analyze the role of retail investors in stock pricing using a database uniquely suited for this p...
This paper examines the extent to which individual investors provide liquidity to the stock market, ...
This paper investigates the investor trading behavior and the relationship between investor sentimen...
We investigate the hypothesis that the same investors trade differently in different financial marke...
In this paper, we study a model incorporating the retail trader\u27s reluctance to sell into losses....
© 2016 Elsevier B.V.. This paper examines the extent to which individual investors provide liquidity...
International audienceWe show that retail trading activity has a positive effect on the volatility o...
This paper investigates a unique dataset that enables us to determine the aggregate buy and sell vol...
This paper investigates the dynamic relation between net individual investor trading and short-horiz...
This paper examines how high-frequency trading decisions of individual investors are influenced by p...
Using a database of more than 1.85 million retail investor transactions over 1991-1996, we show that...
In 1950, 91 % of common stock in the U.S. was owned directly by individual inves tors. Today, that ...
We show that retail trading activity has a positive effect on the volatility of stock returns, which...
In price-optimism models, differences of opinion lead to stock overvaluation, as optimistic investor...
Haas School of Business, UC-Berkeley. We are extremely grateful to the BSI-Gamma foundation for prov...
We analyze the role of retail investors in stock pricing using a database uniquely suited for this p...
This paper examines the extent to which individual investors provide liquidity to the stock market, ...
This paper investigates the investor trading behavior and the relationship between investor sentimen...
We investigate the hypothesis that the same investors trade differently in different financial marke...
In this paper, we study a model incorporating the retail trader\u27s reluctance to sell into losses....
© 2016 Elsevier B.V.. This paper examines the extent to which individual investors provide liquidity...
International audienceWe show that retail trading activity has a positive effect on the volatility o...
This paper investigates a unique dataset that enables us to determine the aggregate buy and sell vol...
This paper investigates the dynamic relation between net individual investor trading and short-horiz...
This paper examines how high-frequency trading decisions of individual investors are influenced by p...