Extreme Correlation in Cryptocurrency Markets

32 Pages Posted: 29 May 2018 Last revised: 4 Nov 2018

See all articles by Konstantinos Gkillas

Konstantinos Gkillas

University of Patras - Business Administration

Stelios Bekiros

European University Institute - Economics Department (ECO); IPAG Business School; Athens University of Economics and Business; University of Bologna - Rimini Center for Economic Analysis (RCEA)

Costas Siriopoulos

Zayed University, College of Business; University of Patras - Business Administration

Date Written: November 3, 2018

Abstract

In this paper, we study the contemporaneous tail dependence structure in a pairwise comparison of the ten largest cryptocurrencies, namely Bitcoin, Dash, Dogecoin, Ethereum, Litecoin, Monero, Namecoin, Novacoin, Peercoin, and Ripple. We apply multivariate extreme value theory and we estimate a bias-corrected extreme correlation coefficient. Our findings reveal clear patterns of significantly high bivariate dependency in the distribution tails of some of the most basic and widespread cryptocurrencies, primarily over various downside constraints. This means that extreme correlation is not related to cryptocurrency market volatility per se, but to the trend of the cryptocurrency market. Therefore, extreme correlation increases in bear markets, but not in bull markets for these pairs. Interestingly, there is also a significant number of pairs which exhibit a weak level of dependency in distribution tails.

Keywords: Bitcoin; cryptocurrencies; extremes; tail dependence; downside risk

JEL Classification: C46; F38; G01

Suggested Citation

Gkillas, Konstantinos and Bekiros, Stelios and Siriopoulos, Costas, Extreme Correlation in Cryptocurrency Markets (November 3, 2018). Available at SSRN: https://ssrn.com/abstract=3180934 or http://dx.doi.org/10.2139/ssrn.3180934

Konstantinos Gkillas (Contact Author)

University of Patras - Business Administration ( email )

Patras
Greece

HOME PAGE: http://www.gillas.gr

Stelios Bekiros

European University Institute - Economics Department (ECO) ( email )

Villa San Paolo
Via della Piazzuola 43
50133 Florence
Italy

IPAG Business School ( email )

184 BD Saint Germain
Paris, 75006
France

Athens University of Economics and Business ( email )

76 Patission Street
Athens, 104 34
Greece

University of Bologna - Rimini Center for Economic Analysis (RCEA) ( email )

Via Patara, 3
Rimini (RN), RN 47900
Italy

Costas Siriopoulos

Zayed University, College of Business ( email )

P.O. Box 144534
Abu Dhabi
United Arab Emirates

University of Patras - Business Administration ( email )

Patras
Greece

Register to save articles to
your library

Register

Paper statistics

Downloads
299
Abstract Views
972
rank
103,563
PlumX Metrics