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

 

Abstract

 
 

Citations (83)

Beta

 


 



The Efficiency of Equity-Linked Compensation: Understanding the Full Cost of Awarding Executive Stock Options

Lisa K. Meulbroek
Claremont McKenna College – Robert Day School of Economics and Finance



Financial Management, Vol. 30, Iss. 2, Summer 2001

Abstract:     
To properly align incentives using equity-linked compensation, the firm's managers must be exposed to firm-specific risks, but this forced concentrated exposure prevents the manager from optimal portfolio diversification. Because undiversified managers are exposed to the firm's total risk, but rewarded (through expected returns) for only the systematic portion of that risk, managers will value stock or option-based compensation at less than its market value. This paper derives a method to measure this deadweight cost, which empirically can be quite large: managers at the average NYSE firm who have their entire wealth invested in the firm value their options at 70% of their market value, while undiversified managers at rapidly growing, entrepreneurially-based firms, such as Internet-based firms, value their option-based compensation at only 53% of its cost to the firm. These estimates prompt questions of whether compensation plans in such firms are weighted too heavily towards incentive-alignment to be cost effective.

Accepted Paper Series

Date posted: August 08, 2001 ; Last revised: May 09, 2009

Suggested Citation

Meulbroek, Lisa K., The Efficiency of Equity-Linked Compensation: Understanding the Full Cost of Awarding Executive Stock Options. Financial Management, Vol. 30, Iss. 2, Summer 2001. Available at SSRN: http://ssrn.com/abstract=275533


Export to: Export Citation What's this?

Contact Information

Lisa K. Meulbroek (Contact Author)
Claremont McKenna College – Robert Day School of Economics and Finance ( email )
500 E. Ninth St.
Claremont, CA 91711-6420
United States
909-607-7363 (Phone)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 1,734
Downloads: 0
Citations: 83

© 2009 Social Science Electronic Publishing, Inc. All Rights Reserved. Terms of Use  Privacy Policy
This page was served by apollo6 in 0.157 seconds.