An analisys of the Heston Stochastic Volatility Model: Implementation and Calibration using Matlab

Ricardo Crisóstomo

CNMV Working Papers from CNMV- Spanish Securities Markets Commission - Research and Statistics Department

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: C51 C52 C61 C63 G13 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: An Analysis of the Heston Stochastic Volatility Model: Implementation and Calibration using Matlab (2015)
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