Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20856
Title: | Nonlinear autoregressive distributed lag approach: an application on the connectedness between Bitcoin returns and the other ten most relevant cryptocurrencies returns |
Authors: | González, MDLO Jareño, F Skinner, F |
Keywords: | Bitcoin;Cryptocurrencies;NARDL;Connectedness |
Issue Date: | 2020 |
Publisher: | MDPI |
Citation: | Mathematics |
Abstract: | This article examines the connectedness between Bitcoin returns and returns of ten additional cryptocurrencies for several frequencies: daily, weekly and monthly, over the period January 2015 – March 2020 using a NARDL (nonlinear autoregressive distributed lag) approach. We find important and positive interdependencies among cryptocurrencies and significant long-run relations among most of them. In addition, non-bitcoin cryptocurrency returns seem to react in the same way to positive and negative changes in Bitcoin returns, obtaining strong evidence of asymmetry in the short-run. Finally, our results show high persistence in the impact of both positive and negative changes in Bitcoin returns on most of the other cryptocurrencies returns. Thus, our model explains about 50% of the other cryptocurrencies returns with changes in Bitcoin returns. |
URI: | http://bura.brunel.ac.uk/handle/2438/20856 |
ISSN: | 2227-7390 |
Appears in Collections: | Publications |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 1.19 MB | Adobe PDF | View/Open |
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