Empirical Performance of Option Pricing Models with Stochastic Local Volatility
Author | : Greg Orosi |
Publisher | : |
Total Pages | : 16 |
Release | : 2014 |
ISBN-10 | : OCLC:1308958786 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Empirical Performance of Option Pricing Models with Stochastic Local Volatility written by Greg Orosi and published by . This book was released on 2014 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine the empirical performance of several stochastic local volatility models that are the extensions of the Heston stochastic volatility model. Our results indicate that the stochastic volatility model with quadratic local volatility significantly outperforms the stochastic volatility model with CEV type local volatility. Moreover, we compare the performance of these models to several other benchmarks and find that the quadratic local volatility model compares well to the best performing option pricing models reported in the current literature for European-style S&P500 index options. Our results also indicate that the model with quadratic local volatility reproduces the characteristics of the implied volatility surface more accurately than the Heston model. Finally, we demonstrate that capturing the shape of the implied volatility surface is necessary to price binary options accurately.