Univariate and multivariate GARCH models applied to bitcoin futures option pricing

dc.contributor.authorVenter, Pierre Johan
dc.contributor.authorMare, Eben
dc.contributor.emaileben.mare@up.ac.zaen_US
dc.date.accessioned2022-05-05T09:15:41Z
dc.date.available2022-05-05T09:15:41Z
dc.date.issued2021-06-10
dc.description.abstractIn 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.departmentInsurance and Actuarial Scienceen_US
dc.description.departmentMathematics and Applied Mathematicsen_US
dc.description.librarianam2022en_US
dc.description.urihttps://www.mdpi.com/journal/jrfmen_US
dc.identifier.citationVenter, 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.issn1911-8066 (print)
dc.identifier.issn1911-8074 (online)
dc.identifier.other10.3390/jrfm14060261
dc.identifier.urihttps://repository.up.ac.za/handle/2263/85089
dc.language.isoenen_US
dc.publisherMDPIen_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.subjectBitcoinen_US
dc.subjectFutures optionsen_US
dc.subjectMultivariateen_US
dc.subjectGeneralized autoregressive conditional heteroskedasticity (GARCH)en_US
dc.titleUnivariate and multivariate GARCH models applied to bitcoin futures option pricingen_US
dc.typeArticleen_US

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