Causal relationship among cryptocurrencies: A conditional quantile approach

Citations

WEB OF SCIENCE

20
Citations

SCOPUS

23

초록

This study uses a Granger non-causality test in quantiles to extend the investigation of the causality among cryptocurrencies. The empirical results reveal that (i) no quantile uncorrelated cryptocurrency is found by the Granger non-causality test in quantiles. (ii) Statistically strong bi-directional causal relationships exist only between Ripple and other cryptocurrencies over the quantile level [0.05, 0.95]. (iii) There are strong causal relationships between cryptocurrencies’ returns over high quantile levels, such as, [0.6, 0.8] and [0.8, 0.95]. (iv) The largest cryptocurrencies, that is, Bitcoin (BTC) and Ethereum (ETH), have stronger causality to smaller ones in high quantiles. The results of the non-causality test suggest a significant causal relationship in the tail quantile, which makes it hard for investors to hedge the risk in the cryptocurrency market. © 2020

키워드

Cryptocurrency; Quantile non-causality test; Quantile regression; Robust non-causality; VECTOR AUTOREGRESSIONS; CROSS; INFERENCE; BITCOIN; RISK
제목
Causal relationship among cryptocurrencies: A conditional quantile approach
저자
Kim, M.J.; Canh, N.P.; Park, S.Y.
DOI
10.1016/j.frl.2020.101879
발행일
2021-10
유형
Article
저널명
Finance Research Letters
권
42