Abstract

 
 

References (18)



 
 

Citations (3)



 


 



Does the Model Matter? A Valuation Analysis of Employee Stock Options


Manuel Ammann


University of St. Gallen - Swiss Institute of Banking and Finance

Ralf Seiz


University of St. Gallen - Swiss Institute of Banking and Finance

November 2003

EFMA 2004 Basel Meetings Paper

Abstract:     
We present a numerical analysis of valuation models for employee stock options. In particular, we analyze the impact of the model on the resulting option prices and investigate the sensitivity of pricing differences between models with respect to changes in the parameters. We show that, for most models such as the FASB 123 model, the utility-maximizing model by Rubinstein, the Hull-White model, and a simple reference model proposed in this paper, the price reduction relative to standard options is uniquely determined by the expected life of the option. In fact, with the exception of the FASB 123 model, pricing differences are negligible if the models are calibrated to the same expected life of the option. Consequently, the application of models with several hard-to-estimate parameters such as the utility-maximizing model can be greatly simplified by this calibration approach because expected life is easier to estimate than utility parameters.

Number of Pages in PDF File: 31

Keywords: Employee stock options, option pricing, option exercise

working papers series


Download This Paper

Date posted: May 13, 2004  

Suggested Citation

Ammann, Manuel and Seiz, Ralf, Does the Model Matter? A Valuation Analysis of Employee Stock Options (November 2003). EFMA 2004 Basel Meetings Paper. Available at SSRN: http://ssrn.com/abstract=499782 or http://dx.doi.org/10.2139/ssrn.499782

Contact Information

Manuel Ammann (Contact Author)
University of St. Gallen - Swiss Institute of Banking and Finance ( email )
Rosenbergstrasse 52
St. Gallen, CH-9000
Switzerland
Ralf Seiz
University of Saint Gallen - Swiss Institute of Banking and Finance ( email )
Rosenbergstrasse 52
St. Gallen, CH-9000
Switzerland
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 1,249
Downloads: 397
Download Rank: 34,787
References:  18
Citations:  3

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo6 in 0.562 seconds