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Article . 2024
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SSRN Electronic Journal
Article . 2024 . Peer-reviewed
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Research on the Linkage of Digital Money Market: Empirical Analysis Based on Granger Causality Test and Variance Decomposition

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2024 English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068, Copyright policy )
Authors: Saci, Fateh;

doi: 10.2139/ssrn.4746069

Research on the Linkage of Digital Money Market: Empirical Analysis Based on Granger Causality Test and Variance Decomposition

Abstract

Based on the close price data of the main nine currency pairs in the digital money market in the period between 2018 and 2020, the linkage relationship between the nine currency pairs' price changes has been empirically studied. The impact of BTCUSDT and ETHUSDT on the volatility of other currencies is analyzed using Pearson correlation coefficient, Granger causality test and variance decomposition. The results show that the price change of BTCUSDT is the reason for the price change of all other currencies. The fluctuation change of BTCUSDT can be explained by its own fluctuation. The fluctuation of other currencies has little contribution on the fluctuation of BTCUSDT. Among the contributions made on the overall market volatility, BTC's impact on market volatility is higher than ETH's impact on market volatility. XRP volatility can be explained by its own volatility, and its currency trend is quite different from that of other currencies.

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Keywords

Blockchain, Digital Currency (Cryptocurrency), [SHS] Humanities and Social Sciences, Bitcoin, co-movement

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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