Univariate and multivariate GARCH models applied to bitcoin futures option pricing

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dc.contributor.author Venter, Pierre Johan
dc.contributor.author Mare, Eben
dc.date.accessioned 2022-05-05T09:15:41Z
dc.date.available 2022-05-05T09:15:41Z
dc.date.issued 2021-06-10
dc.description.abstract In this paper, the Heston–Nandi futures option pricing model is applied to Bitcoin futures options. The model prices are compared to market prices to give an indication of the pricing performance. In addition, a multivariate Bitcoin futures option pricing methodology based on a multivatiate GARCH model is developed. The empirical results show that a symmetric model is a better fit when applied to Bitcoin futures returns, and also produces more accurate option prices compared to market prices for two out of three expiry dates considered. en_US
dc.description.department Insurance and Actuarial Science en_US
dc.description.department Mathematics and Applied Mathematics en_US
dc.description.librarian am2022 en_US
dc.description.uri https://www.mdpi.com/journal/jrfm en_US
dc.identifier.citation Venter, Pierre J., and Eben Maré. 2021. Univariate and Multivariate GARCH Models Applied to Bitcoin Futures Option Pricing. Journal of Risk and Financial Management 14: 261. https://DOI.org/ 10.3390/jrfm14060261. en_US
dc.identifier.issn 1911-8066 (print)
dc.identifier.issn 1911-8074 (online)
dc.identifier.other 10.3390/jrfm14060261
dc.identifier.uri https://repository.up.ac.za/handle/2263/85089
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_US
dc.subject Bitcoin en_US
dc.subject Futures options en_US
dc.subject Multivariate en_US
dc.subject Generalized autoregressive conditional heteroskedasticity (GARCH) en_US
dc.title Univariate and multivariate GARCH models applied to bitcoin futures option pricing en_US
dc.type Article en_US


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