Hou, Aijun, Wang, Weining, Chen, Cathy et al. (1 more author) (2020) Pricing cryptocurrency options. Journal of Financial Econometrics. pp. 250-279. ISSN: 1479-8409
Abstract
Cryptocurrencies, especially Bitcoin (BTC), which comprise a new digital asset class, have drawn extraordinary worldwide attention. The characteristics of the cryptocurrency/BTC include a high level of speculation, extreme volatility and price discontinuity. We propose a pricing mechanism based on a stochastic volatility with a correlated jump (SVCJ) model and compare it to a flexible co-jump model by \cite{bandi2016price}. The estimation results of both models confirm the impact of jumps and co-jumps on options obtained via simulation and an analysis of the implied volatility curve. We show that a sizeable proportion of price jumps are significantly and contemporaneously anti-correlated with jumps in volatility. Our study comprises pioneering research on pricing BTC options. We show how the proposed pricing mechanism underlines the importance of jumps in cryptocurrency markets.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2020 |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) |
| Depositing User: | Pure (York) |
| Date Deposited: | 09 Mar 2020 12:00 |
| Last Modified: | 17 Sep 2025 01:52 |
| Published Version: | https://doi.org/10.1093/jjfinec/nbaa006 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1093/jjfinec/nbaa006 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158217 |
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