Please use this identifier to cite or link to this item:
Birke, Melanie
Pilz, Kay F.
Year of Publication: 
Series/Report no.: 
Technical Report // Sonderforschungsbereich 475, Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2007,30
We propose a completely kernel based method of estimating the call price function or the state price density of options. The new estimator of the call price function fulfills the constraints like monotonicity and convexity given in Breeden and Litzenberger (1978) without necessarily estimating the state price density for an underlying asset price from its option prices. It can be shown that the estimator is pointwise consistent and asymptotically normal. In a simulation study we compare the new estimator to the unconstrained kernel estimator and to the estimator given in Aït-Sahalia and Duarte (2003).
call pricing function b
constrained nonparametric estimation
monotone rearrangements
state price density
Document Type: 
Working Paper

Files in This Item:
207.92 kB

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.