Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets

Shaen Corbet, Paraskevi Katsiampa, Marco Lau Chi Keung

Research output: Contribution to journalArticle

Abstract

This paper studies causal relationships and the potential of improving conditional quantile forecasting between Bitcoin and seven altcoin markets as well as between Bitcoin and three mainstream assets, namely gold, oil, and the S&P500, by applying the Granger-causality in distribution and in quantiles tests. We find significant bidirectional causality between Bitcoin and all altcoins and assets considered in the two distribution tails. An enhanced forecast of Bitcoin price returns is thus derived by conditioning on altcoins or assets and vice versa during extreme market conditions. However, under normal market conditions the results for the centre of the distribution of the Bitcoin price returns conditional on altcoins depend on both the altcoin considered and quantile under investigation. We also find evidence that Bitcoin is not isolated from financial markets, while this developing financial asset is a strong safe-haven for oil and a weak safe-haven for S&P500, but it cannot be considered as either a weak or strong safe-haven for gold. Our results reveal a more complete relationship between Bitcoin and altcoins as well as financial assets than was previously considered.
Original languageEnglish
Article number101571
Number of pages21
JournalInternational Review of Financial Analysis
Volume71
Early online date9 Sep 2020
DOIs
Publication statusPublished - 1 Oct 2020

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