Effects of the geopolitical risks on Bitcoin returns and volatility
Ahmet Aysan (),
Ender Demir (),
Giray Gözgör () and
Chi Keung Lau
Research in International Business and Finance, 2019, vol. 47, issue C, 511-518
This paper investigates the predictive power of global geopolitical risks (GPR) index on daily returns and price volatility of Bitcoin over the period July 18, 2010–May 31, 2018. Considering Bayesian Graphical Structural Vector Autoregressive (BSGVAR) technique, we find that GPR has a predictive power on both returns and volatility of Bitcoin. The results of the Ordinary Least Squares (OLS) estimations show that price volatility and returns of Bitcoin are positively and negatively related to the GPR, respectively. However, findings from the Quantile-on-Quantile (QQ) estimations state that the effects are positive at the higher quantiles of both the GPR as well as the price volatility and the returns of Bitcoin. Therefore, we conclude that Bitcoin can be considered as a hedging tool against global geopolitical risks.
Keywords: Bitcoin; Cryptocurrencies; Geopolitical risks; BSGVAR model; Quantile-on-quantile estimations (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:47:y:2019:i:c:p:511-518
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