Statistical Tests of Contingent Claims Asset-Pricing Models: A New Methodology (Revised: 10-85)
A new methodology for statistically testing contingent claims asset-pricing models based on asymptotic statistical theory is developed. It is introduced in the context of the Black-Scholes-Merton option pricing model, for which some promising estimation, inference, and simulation results are also presented. The proposed methodology is then extended to arbitrary contingent claims by first considering the estimation problem for general Ito-processes and then deriving the asymptotic distribution of a general contingent claim which depends upon such an Ito-process.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:|
|Date of revision:|
|Contact details of provider:|| Postal: 3254 Steinberg Hall-Dietrich Hall, Philadelphia, PA 19104-6367|
Phone: (215) 898-7616
Fax: (215) 573-8084
Web page: http://finance.wharton.upenn.edu/~rlwctr/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:pennfi:19-84. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.