Table 2

Descriptive statistics for daily conditional volatilities of Bitcoin and energy commodities

BitcoinCrude oil WTIBrent oilGasoline RBOBHeating oilLondon gas_oilNatural gas
Mean0.0015690.1937700.1807870.2569360.2330401.4751030.258855
Median0.0010170.1593990.1593000.2377720.1596101.4711750.196522
Maximum0.0068340.7998280.7608200.9568001.3198462.4689871.196166
Minimum3.36E-051.31E-052.32E-051.68E-052.61E-050.3582155.74E-05
Std. Dev0.0015170.1554140.1592700.1823560.2591160.3335640.217845
Skewness1.1169331.4619710.8854291.0533722.607802−0.1489261.577967
Kurtosis3.3686035.5154963.4418974.29333910.152683.4072415.860755
Jarque–Bera205.895*597.565*133.803*245.462*3147.595*10.2248*728.777*
Probability0.0000000.0000000.0000000.0000000.0000000.0060210.000000
Obs964964964964964964964

Note(s): This table presents summary statistics of daily conditional volatilities for 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. The data period is from August 11, 2015 until March 31, 2018. Statistical significance at the 1% is denoted by *

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