Research Article

Multi-Frequency Information Flows between Global Commodities and Uncertainties: Evidence from COVID-19 Pandemic

Table 1

Preliminary statistical analysis.

ReturnsMeanStd. dev.SkewnessKurtosisJarque−BeraKPSS

Aggregated commodities
Acommodity0.0010.014−1.38910.158749.2340.495
Aenergy−0.0060.107−14.046226.878646987.10.534
Ametals0.0010.010−0.5574.37839.9410.153
Imetals−0.0010.028−13.336212.749568139.40.589

Energy
Brent0.0130.23616.710287.81110450630.229
Gasoline0.0140.24516.516283.50510137960.220
Htoil0.0130.24316.917292.43910791850.238
Ngas0.0010.0410.6705.524103.7230.093
Petroleum0.0000.044−1.99319.6083707.1380.374

Agricultural
Cocoa−0.0040.061−15.390257.984838297.30.301
Coffee−0.0140.247−16.879291.55310726180.366
Corn−0.0080.137−16.804289.86910601740.434
Cotton−0.0150.250−17.249300.01311362120.386
Soybeans−0.0200.344−17.311301.44811471830.372
Wheat−0.0130.223−17.078296.08311064430.390

Metals
Gold0.0030.04715.254255.126819662.20.411
Lead0.0000.015−0.2154.10817.9420.128
Nickel0.0000.017−0.5405.04868.0910.155
Palladium0.0010.033−0.43620.5823938.3290.021
Zinc0.0040.05415.626263.341873746.40.198

Uncertainties
EPU0.0080.5130.5925.49496.9170.118
Gvolatility0.0080.12217.116296.98811132630.319
VCRIX0.0140.23612.827200.573504434.80.290
VIX−0.0010.104−0.43018.0192875.9340.050
OVX0.0100.18710.009142.305251709.30.407

Note. , ∗∗, and ∗∗∗ indicate significance at 10%, 5%, and 1% levels, respectively.