An Analyisis of the Heston Stochastic Volatility Model: Implementation and Calibration Using Matlab
46 Pages Posted: 7 Jun 2019
Date Written: 2014
This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how characteristic functions can be used to esti-mate 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 optimi-zation. Our analyses show that straightforward setups deliver good calibration re-sults. 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, character-istic functions
JEL Classification: G13, C51, C52, C61, C63
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