Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/198346
Title: The CTMC-Heston model: calibration and exotic option pricing with SWIFT
Author: Leitao, Alvaro
Kirkby, J. Lars
Ortiz Gracia, Luis
Keywords: Estadística matemàtica
Anàlisi de Fourier
Matemàtica aplicada
Mètode de Montecarlo
Mathematical statistics
Fourier analysis
Applied mathematics
Monte Carlo method
Issue Date: 1-Mar-2021
Publisher: Infopro Digital
Abstract: This work presents an efficient computational framework for pricing a general class of exotic and vanilla options under a versatile stochastic volatility model. In particular, we propose the use of a finite state continuous time Markov chain (CTMC) model, which closely approximates the classic Heston model but enables a simplified approach for consistently pricing a wide variety of financial derivatives (...)
Note: Reproducció del document publicat a: https://doi.org/10.21314/JCF.2020.398
It is part of: Journal Of Computational Finance, 2021, vol. 24, num. 4, p. 71-114
URI: http://hdl.handle.net/2445/198346
Related resource: https://doi.org/10.21314/JCF.2020.398
ISSN: 1460-1559
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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