Table 4

Descriptive statistics for dynamic conditional correlation between Bitcoin and energy commodities with Fed surprises

DCC between bitcoin and
Crude oil WTIBrent oilGasoline RBOBHeating oilLondon gas_oilNatural gas
 Mean−0.1006850.045457−0.195268−0.0668550.058979−0.087350
 Median−0.1586400.106953−0.317919−0.0780810.107820−0.169743
 Maximum0.9743190.9365710.9386380.9361290.9548410.970986
 Minimum−0.968756−0.903448−0.956786−0.948544−0.944242−0.968992
 Std. Dev0.5567030.5446870.5232760.5440020.5640320.561505
 Skewness0.214416−0.1491300.5037810.160189−0.1332050.199015
 Kurtosis1.8431791.6721122.0397781.8816021.7684151.731673
 Jarque–Bera61.13896*74.39849*77.81108*54.36380*63.77566*70.97769*
 Probability0.0000000.0000000.0000000.0000000.0000000.000000
 Obs964964964964964964

Note(s): This table presents summary statistics of DCC between Bitcoin and energy commodities, namely Crude Oil WTI (West Texas Intermediate), Brent Oil, Gasoline RBOB (Reformulated Gasoline Blendstock for Oxygen Blending), Heating Oil, London Gas Oil and Natural Gas in the presence of Fed surprises. The data period is from August 11, 2015 until March 31, 2018. Statistical significance at the 1% is denoted by *

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