Title: | Causal relationship among cryptocurrencies: A conditional quantile approach |
Author(s): | Kim M.J. |
Keywords: | Cryptocurrency; Quantile non-causality test; Quantile regression; Robust non-causality |
Abstract: | 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. |
Issue Date: | 2020 |
Publisher: | Elsevier Ltd |
URI: | http://digital.lib.ueh.edu.vn/handle/UEH/61735 |
DOI: | https://doi.org/10.1016/j.frl.2020.101879 |
ISSN: | 15446123 |
Appears in Collections: | INTERNATIONAL PUBLICATIONS
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