Abstract

 


 



Option Bounds


Rustam Ibragimov


Harvard University - Department of Economics

Victor H. De la Pena


Columbia University - Department of Statistics

Steven J. Jordan


Econometric Solutions


Journal of Applied Probability, Vol. 41, Issue A, April 2004

Abstract:     
In this paper, we obtain sharp estimates for the expected payoffs and prices of European call options on an asset with an absolutely continuous price in terms of the price density characteristics. These techniques and results complement other approaches to the derivative pricing problem. Exact analytical solutions to option pricing problems and to Monte-Carlo techniques make strong assumptions on the underlying asset's distribution. In contrast, our results are semi-parametric. This allows the derivation of results without knowing the entire distribution of the underlying asset's returns. Our results can be used to test different modelling assumptions. Finally, we derive bounds on the multiperiod binomial option-pricing model with time-varying moments. Our bounds reduce the multiperiod setup to a two-period setting, which is advantageous from a computational perspective.

Keywords: options, bounds, exotic, path dependent

JEL Classification: D46, G13

Accepted Paper Series


Date posted: July 23, 2004  

Suggested Citation

Ibragimov, Rustam, De la Pena, Victor H. and Jordan, Steven J., Option Bounds. Journal of Applied Probability, Vol. 41, Issue A, April 2004. Available at SSRN: http://ssrn.com/abstract=567373

Contact Information

Rustam Ibragimov (Contact Author)
Harvard University - Department of Economics ( email )
Littauer Center
1805 Cambridge St.
Cambridge, MA 02138
United States
617-496-4795 (Phone)
617-495-7730 (Fax)
HOME PAGE: http://www.economics.harvard.edu/faculty/ibragimov/ibragimov.html
Victor H. De la Pena
Columbia University - Department of Statistics ( email )
Mail Code 4403
New York, NY 10027
United States
Steven J. Jordan
Econometric Solutions ( email )
3520 Fossil Park Dr.
Fort Worth, TX NA 76137
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 1,295

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo8 in 0.281 seconds