Please use this identifier to cite or link to this item:
https://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: | https://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) |
Files in This Item:
File | Description | Size | Format | |
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734046.pdf | 649.77 kB | Adobe PDF | View/Open |
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