Table 2

Further preliminary analysis

StatisticClimate risk (1)Climate risk (2)Oil risk (1)Oil risk (2)
Mean133.5200.3274.0564.392
Std. Dev94.7660.2613.6994.267
Skewness1.8302.2246.5636.382
Kurtosis8.09911.94557.24651.922
Persistence0.576***0.0750.991***0.992***
(0.072)(0.088)(0.003)(0.002)
ARCH(1)0.3580.00371566.70***85591.69***
[0.551][0.956][0.000][0.000]
ARCH(5)0.1290.07616711.60***18781.21***
[0.985][0.996][0.000][0.000]
ARCH(10)0.5570.1018723.71***9626.31***
[0.845][0.999][0.000][0.000]
Correlation analysis
Global0.1758−0.07450.02130.0255
Europe0.1101−0.12760.01430.0145
US0.1241−0.20160.01990.0227
Asia0.1242−0.12300.01070.0098
Solar0.1783−0.12520.01830.0168
Wind0.1448−0.09680.01510.0208

Note(s): Climate risk 1 (CPU) is climate policy uncertainty (Gavriilidis, 2021), Climate risk 2 (EER) is equity market volatility: EER (Baker et al., 2020), Oil risk 1 is the realized volatility from the Brent crude oil price, Oil risk 2 is the realized volatility from the WTI crude oil price. ARCH is the test for conditional heteroscedasticity conducted with ten (10) lags. The null hypotheses for persistence and ARCH tests are no persistence and no ARCH effects, respectively. ”***” indicates statistical significance at the 1% significance level. Values in “()” are standard errors while those in “[]” are probability values

Source(s): Table by authors

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