Cryptocurrency Volatility Markets

30 Pages Posted: 30 Jun 2020 Last revised: 3 May 2021

See all articles by Fabian Woebbeking

Fabian Woebbeking

Halle Institute for Economic Research; Martin Luther University of Halle-Wittenberg

Date Written: July 1, 2020


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 captures `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.

Keywords: Cryptocurrency, Blockchain, Bitcoin, Volatility, Derivatives, Options, Liquidity, CVX, VIX, COVID-19

JEL Classification: C50, E42, F31, G10, G11, G13

Suggested Citation

Woebbeking, Fabian, Cryptocurrency Volatility Markets (July 1, 2020). Available at SSRN: or

Fabian Woebbeking (Contact Author)

Halle Institute for Economic Research ( email )

P.O. Box 11 03 61
Kleine Maerkerstrasse 8
D-06017 Halle, 06108
+49 345 7753-851 (Phone)

HOME PAGE: http://

Martin Luther University of Halle-Wittenberg

Emil-Abderhalden-Str. 7
Halle an der Saale
06099 Halle (Saale), DE Sachsen-Anhalt 06099

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
PlumX Metrics