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Cryptocurrency volatility markets
By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative method...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326316/ https://www.ncbi.nlm.nih.gov/pubmed/34368626 http://dx.doi.org/10.1007/s42521-021-00037-3 |
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author | Woebbeking, Fabian |
author_facet | Woebbeking, Fabian |
author_sort | Woebbeking, Fabian |
collection | PubMed |
description | By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks. |
format | Online Article Text |
id | pubmed-8326316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83263162021-08-02 Cryptocurrency volatility markets Woebbeking, Fabian Digit Finance Original Article By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks. Springer International Publishing 2021-08-02 2021 /pmc/articles/PMC8326316/ /pubmed/34368626 http://dx.doi.org/10.1007/s42521-021-00037-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Woebbeking, Fabian Cryptocurrency volatility markets |
title | Cryptocurrency volatility markets |
title_full | Cryptocurrency volatility markets |
title_fullStr | Cryptocurrency volatility markets |
title_full_unstemmed | Cryptocurrency volatility markets |
title_short | Cryptocurrency volatility markets |
title_sort | cryptocurrency volatility markets |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326316/ https://www.ncbi.nlm.nih.gov/pubmed/34368626 http://dx.doi.org/10.1007/s42521-021-00037-3 |
work_keys_str_mv | AT woebbekingfabian cryptocurrencyvolatilitymarkets |