Table 5

Descriptive statistics for dynamic conditional correlation between bitcoin and energy commodities with ECB surprises

DCC between bitcoin and
Crude oil WTIBrent oilGasoline RBOBHeating oilLondon GAS_OILNatural gas
Mean0.0389470.0241580.0438650.0778320.0645840.009010
Median0.0461710.0207930.0256940.0774230.0885020.027653
Maximum0.7826890.9391580.8062930.9356890.8515010.645694
Minimum−0.896256−0.928957−0.705735−0.746041−0.801323−0.798624
Std. Dev0.3122410.3257320.2874080.3586020.3234920.295952
Skewness−0.1783250.1040800.119512−0.098820−0.216749−0.233398
Kurtosis2.7175302.8327802.6387462.3381162.3609352.392030
Jarque–Bera83.14029*28.63625*75.36737*29.16563*39.95231*54.59897*
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 ECB 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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