Journal of Mathematical Finance

Volume 7, Issue 3 (August 2017)

ISSN Print: 2162-2434   ISSN Online: 2162-2442

Google-based Impact Factor: 0.87  Citations  h5-index & Ranking

Nonparametric Model Calibration for Derivatives

HTML  XML Download Download as PDF (Size: 2071KB)  PP. 571-596  
DOI: 10.4236/jmf.2017.73030    1,084 Downloads   2,124 Views  Citations

ABSTRACT

Consistently fitting vanilla option surface is an important issue in derivative modelling. In this paper, we consider three different models: local and stochastic volatility, local correlation, hybrid local volatility with stochastic rates, and address their exact, nonparametric calibration. This calibration process requires solving a nonlinear partial integro-differential equation. A modified alternating direction implicit algorithm is used, and its theoretical and numerical analysis is performed.

Share and Cite:

Abergel, F. , des Combes, R. and Zaatour, R. (2017) Nonparametric Model Calibration for Derivatives. Journal of Mathematical Finance, 7, 571-596. doi: 10.4236/jmf.2017.73030.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.