Do Investors Overpay for Stocks with Lottery-Like Payoffs? An Examination of the Returns on OTC Stocks
56 Pages Posted: 1 Jan 2011 Last revised: 21 Jul 2014
Date Written: April 3, 2014
Abstract
We study returns on Over-The-Counter stocks and we find these returns are extremely negative on average. The distribution of OTC stock returns is highly positively-skewed: while many of the stocks in our sample become worthless, a few do extremely well. We investigate whether this negative return premium can be rationalized by investors' preference for positively-skewed payoffs. We show that the equilibrium model of Barberis and Huang (2008) provides a plausible explanation for the negative returns. We also show that OTC stocks that once traded on the regular exchanges perform much better than stocks that originate in the OTC markets.
Keywords: over-the-counter, OTC, pink sheets, skew, skewness, lottery, prospect theory, return anomalies, rational pricing, behavioral finance
JEL Classification: G10, G20, G38
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
The Cross-Section of Volatility and Expected Returns
By Andrew Ang, Robert J. Hodrick, ...
-
The Cross-Section of Volatility and Expected Returns
By Andrew Ang, Robert J. Hodrick, ...
-
By Amit Goyal and Pedro Santa-clara
-
Stocks as Lotteries: the Implications of Probability Weighting for Security Prices
By Nicholas Barberis and Ming Huang
-
Stocks as Lotteries: The Implications of Probability Weighting for Security Prices
By Nicholas Barberis and Ming Huang
-
Equity Portfolio Diversification
By Alok Kumar and William N. Goetzmann
-
Equity Portfolio Diversification
By Alok Kumar and William N. Goetzmann
-
Idiosyncratic Risk and Security Returns
By Yexiao Xu and Burton G. Malkiel
-
High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence
By Andrew Ang, Robert J. Hodrick, ...
-
High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence
By Xiaoyan Zhang, Andrew Ang, ...