A1 Journal article (refereed), original research

Extreme return-volume relationship in cryptocurrencies: Tail dependence analysis

Open Access publication

Publication Details
Authors: Naeem Muhammad, Saleem Kashif, Ahmed Sheraz, Muhammad Naeem, Mustafa Faisal
Publisher: Cogent OA / Taylor & Francis Group
Publication year: 2020
Language: English
Related Journal or Series Information: Cogent Economics and Finance
Volume number: 8
Issue number: 1
ISSN: 2332-2039
JUFO-Level of this publication: 1
Open Access: Open Access publication


We explore extreme return-volumes dependence among different cryptocurrencies such as Bitcoin, Ethereum, Ripple, and Litecoin by using the Copula approach. We use Student-t, Frank, Clayton, Survival Clayton, Gumbel, and SJC copulas. We filter out margins by using the EGARCH model for return series and GARCH model for volume series. Evidence of significant symmetric dependence between return-volume is not found due to insignificance of student-t and Frank copula parameters. In a return-volume relationship, coefficients of lower tail dependence are significant for Bitcoin, Ripple, and Litecoin which means that low returns are followed by low volumes. Lower tail dependence for the return-volume relationship is stronger than the upper tail dependence for Bitcoin, Ripple, and Litecoin. Moreover, for negative return-volume, left tail dependence coefficients are significant for Ripple and Litecoin, which means that high returns are followed by low volumes for Ripple and Litecoin. Our investigation shows that investors (buyer or seller) are very careful in extreme market conditions for both Ripple and Litecoin. Extreme upper tail and lower tail dependence coefficients are insignificant for Ethereum.

Research Areas

Last updated on 2020-16-11 at 07:23