• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations

Do Growth-Option Firms Use Less Relative Performance Evaluation,” Working Paper. (2012)

by Ana Albuquerque
Add To MetaCart

Tools

Sorted by:
Results 1 - 1 of 1

Incentive Contracting Under Ambiguity Aversion International Finance Discussion Papers Board of Governors of the Federal Reserve System Incentive Contracting Under Ambiguity Aversion from the Social Science Research Network electronic library at Incentive

by Qi Lei Liu , Bo Lu , Sun , Qi Liu , Lei Lu , Bo Sun , Qi Liu , Lei Lu , Bo Sun
"... Abstract This paper studies a principal-agent model in which the information on future firm performance is ambiguous and the agent is averse to ambiguity. We show that if firm risk is ambiguous, while stocks always induce the agent to perceive a high risk, options can induce him to perceive a low r ..."
Abstract - Add to MetaCart
Abstract This paper studies a principal-agent model in which the information on future firm performance is ambiguous and the agent is averse to ambiguity. We show that if firm risk is ambiguous, while stocks always induce the agent to perceive a high risk, options can induce him to perceive a low risk. As a result, options can be less costly in incentivizing the agent than stocks in the presence of ambiguity. In addition, we show that providing the agent with more incentives would induce the agent to perceive a higher risk, and there is a discontinuous jump in the compensation cost as incentives increase, which makes the principal reluctant to reset contracts frequently when underlying fundamentals change. Thus, compensation contracts exhibit an inertia property. Lastly, the model sheds some light on the use of relative performance evaluation, and provides a rationale for the puzzle of pay-for-luck in the presence of ambiguity.
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University