SSRN Home Search and Download Papers Browse Abstract and Paper Submission Subscribe to Networks View Briefcase Top Papers Top Authors Top Institutions

 

Abstract

 
 

References (28)

Beta

 
 

Citations (16)

Beta

 


 


Download | Share | Email | Add to Briefcase | Buy Hard Copy

Stock Market Manipulation - Theory and Evidence

Rajesh K. Aggarwal
University of Minnesota - Twin Cities - Carlson School of Management

Guojun Wu
University of Houston; China Academy of Financial Research (CAFR)


March 11, 2003

AFA 2004 San Diego Meetings

Abstract:     
In this paper we present a theory and some empirical evidence on stock price manipulation in the United States. Extending the framework of Allen and Gale (1992), we consider what happens when a manipulator can trade in the presence of other traders who seek out information about the stock's true value. In a market without manipulators, these information seekers unambiguously improve market efficiency by pushing prices up to the level indicated by the informed party's information. In a market with manipulators, the information seekers play a more ambiguous role. More information seekers imply greater competition for shares, making it easier for a manipulator to enter the market and potentially worsening market efficiency. This suggests a strong role for government regulation to discourage manipulation while encouraging greater competition for information. Using a unique dataset, we then provide evidence from SEC actions in cases of stock manipulation. We find that potentially informed parties such as corporate insiders, brokers, underwriters, large shareholders and market makers are likely to be manipulators. More illiquid stocks are more likely to be manipulated and manipulation increases stock volatility. We show that stock prices rise throughout the manipulation period and then fall in the postmanipulation period. Prices and liquidity are higher when the manipulator sells than when the manipulator buys. In addition, at the time the manipulator sells, prices are higher when liquidity is greater and when volatility is greater. These results are consistent with the model and suggest that stock market manipulation may have important impacts on market efficiency.

Working Paper Series

Date posted: December 08, 2003 ; Last revised: September 16, 2009

Suggested Citation

Aggarwal, Rajesh K. and Wu, Guojun, Stock Market Manipulation - Theory and Evidence (March 11, 2003). AFA 2004 San Diego Meetings. Available at SSRN: http://ssrn.com/abstract=474582 or doi:10.2139/ssrn.474582


Export to: Export Citation What's this?

Contact Information

Rajesh K. Aggarwal (Contact Author)
University of Minnesota - Twin Cities - Carlson School of Management ( email )
19th Avenue South
Minneapolis, MN 55455
United States
Guojun Wu
University of Houston ( email )
220F Melcher Hall
Houston, TX 77204-6021
United States
713-743-4813 (Phone)
713-743-4789 (Fax)
HOME PAGE: http://www.bauer.uh.edu/wu
China Academy of Financial Research (CAFR)
1954 Huashan Road
Shanghai P.R.China, 200030 China

Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 7,209
Downloads: 1,683
Download Rank: 1,987
References: 28
Citations: 16

© 2009 Social Science Electronic Publishing, Inc. All Rights Reserved. Terms of Use  Privacy Policy
This page was served by apollo 4 in 0.141 seconds.