Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation

This paper analyzes the prediction power of the economic policy uncertainty (EPU) index on the daily Bitcoin returns. Using the Bayesian Graphical Structural Vector Autoregressive model as well as the Ordinary Least Squares and the Quantile-on-Quantile Regression estimations, the paper finds that the EPU has a predictive power on Bitcoin returns. Fundamentally, Bitcoin returns are negatively associated with the EPU. However, the effect is positive and significant at both lower and higher quantiles of Bitcoin returns and the EPU. In the light of these findings, the paper concludes that Bitcoin can serve as a hedging tool against uncertainty.

[1]  Eng-Tuck Cheah,et al.  Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin , 2015 .

[2]  Thomas S. Kim On the transaction cost of Bitcoin , 2017 .

[3]  Paraskevi Katsiampa Volatility estimation for Bitcoin: A comparison of GARCH models , 2017 .

[4]  S. Nadarajah,et al.  On the inefficiency of Bitcoin , 2017 .

[5]  A. H. Dyhrberg Hedging capabilities of bitcoin. Is it the virtual gold , 2016 .

[6]  Andrew Urquhart The Inefficiency of Bitcoin , 2016 .

[7]  S. Corbet,et al.  Datestamping the Bitcoin and Ethereum Bubbles , 2017, Finance Research Letters.

[8]  S. Davis,et al.  Measuring Economic Policy Uncertainty , 2013 .

[9]  Andrew Urquhart Price clustering in Bitcoin , 2017 .

[10]  A. Tiwari,et al.  Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions , 2016 .

[11]  Nicholas Sim,et al.  Oil prices, US stock return, and the dependence between their quantiles , 2015 .

[12]  D. F. Ahelegbey,et al.  Bayesian Graphical Models for Structural Vector Autoregressive Processes , 2012, Journal of Applied Econometrics.

[13]  Zhengjun Zhang,et al.  Informed trading in the Bitcoin market , 2017, Finance Research Letters.

[14]  A. F. Bariviera The Inefficiency of Bitcoin Revisited: A Dynamic Approach , 2017, 1709.08090.

[15]  Rangan Gupta,et al.  Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model , 2017 .