EconPapers    
Economics at your fingertips  
 

Corporate Governance and Information Content of Stock Trades: Evidence from S&P 100 Companies

Steve Fan

The International Journal of Business and Finance Research, 2013, vol. 7, issue 3, 41-56

Abstract: This paper studies the relationship between firms' corporate governance quality and information content of stock trades. Following Hasbrouck (1991) method, a trade's information content is defined as persistent impact of trade innovation on stock price. Using firm-level governance data, we show that the information content is negatively correlated with firms' corporate governance quality for the S&P 100 companies. Further analysis shows that board of directors is the main governance mechanism contributing to the negative correlation, while audit, anti-takeover, and compensation do not play a significant role. Our results provide empirical evidence to support the theory that corporate governance improves firms' information environment. It provides guidance on governance system design to reduce information asymmetry.

Keywords: Information Content; Corporate Governance; Governance Mechanisms; Vector Autoregression (VAR) (search for similar items in EconPapers)
JEL-codes: G30 G34 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.theibfr2.com/RePEc/ibf/ijbfre/ijbfr-v7n3-2013/IJBFR-V7N3-2013-4.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibf:ijbfre:v:7:y:2013:i:3:p:41-56

Access Statistics for this article

The International Journal of Business and Finance Research is currently edited by Terrance Jalbert

More articles in The International Journal of Business and Finance Research from The Institute for Business and Finance Research
Bibliographic data for series maintained by Mercedes Jalbert ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-19
Handle: RePEc:ibf:ijbfre:v:7:y:2013:i:3:p:41-56