An Analysis of the Heston Stochastic Volatility Model: Implementation and Calibration Using Matlab
CNMV Working Paper No 58
34 Pages Posted: 20 Nov 2014 Last revised: 29 Jul 2016
Date Written: December 17, 2014
This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how characteristic functions can be used to estimate option prices. Then we consider the implementation of the Heston model, showing that relatively simple solutions can lead to fast and accurate vanilla option prices. We also perform several calibration tests, using both local and global optimization. Our analyses show that straightforward setups deliver good calibration results. All calculations are carried out in Matlab and numerical examples are included in the paper to facilitate the understanding of mathematical concepts.
Keywords: Stochastic volatility, Heston, Black-Scholes biases, calibration, characteristic functions
JEL Classification: G13, C51, C52, C61, C63
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