首页 | 本学科首页   官方微博 | 高级检索  
     


Semi-nonparametric estimation of the call-option price surface under strike and time-to-expiry no-arbitrage constraints
Authors:Matthias R. Fengler  Lin-Yee Hin
Affiliation:1. University of St. Gallen, Department of Economics, Bodanstrasse 6, CH-9000 St. Gallen, Switzerland;2. Department of Mathematics and Statistics, Curtin University, Kent Street, Bentley WA 6102, Australia
Abstract:We suggest a semi-nonparametric estimator for the call-option price surface. The estimator is a bivariate tensor-product B-spline. To enforce no-arbitrage constraints across strikes and expiry dates, we establish sufficient no-arbitrage conditions on the control net of the B-spline surface. The conditions are linear and therefore allow for an implementation of the estimator by means of standard quadratic programming techniques. The consistency of the estimator is proved. By means of simulations, we explore the statistical efficiency benefits that are associated with estimating option price surfaces and state-price densities under the full set of no-arbitrage constraints. We estimate a call-option price surface, families of first-order strike derivatives, and state-price densities for S&P 500 option data.
Keywords:C14   C58   G13
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号