Pricing Cryptocurrency Options
Ai Jun Hou,
Weining Wang,
Cathy Y. H. Chen and
Wolfgang Karl H\"ardle
Papers from arXiv.org
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 Bandi and Ren\`o (2016). 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.
Date: 2020-09
New Economics Papers: this item is included in nep-ore, nep-pay and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (33)
Published in Journal of Financial Econometrics, Volume 18, Issue 2, Spring 2020, Pages 250 to 279
Downloads: (external link)
http://arxiv.org/pdf/2009.11007 Latest version (application/pdf)
Related works:
Journal Article: Pricing Cryptocurrency Options* (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2009.11007
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().