Table A2.

Estimation analysis (with arithmetic return)

Variablereturn_no_logVNIndexdigitalGSVIdigitalGSVI
Panel 4–1. VAR-Granger estimation
return_no_logVNIndex–9.901***9.901***
digitalGSVI1.8498–1.8498
Variablereturn_no_logVN30digitalGSVIdigitalGSVI
return_no_logVN30–8.9725**8.9725**
digitalGSVI1.4135–1.4135
Variablereturn_no_logVN100digitalGSVIAll
return_no_logVN100–10.704***10.704***
digitalGSVI1.7764–1.7764
VariableReturn_no_logVNIndexReturn_no_logVN30Return_no_logVN100
Coeficientt-statisticCoeficientt-statisticCoeficientt-statistic
Panel 4–2. OLS estimation
return_no_logt-10.3453624***4.920.3243869***4.620.3449814***4.92
return_no_logt-2−0.0808398−1.18−0.0680587−0.99−0.0815003−1.19
digitalGSVI−0.0017943−0.93−0.0014848−0.73−0.0014667−0.72
digitalt−1GSVI−0.0051437**−2.50−0.0051968**−2.41−0.0057832***−2.68
digitalt−2GSVI0.00277921.410.00227421.100.00279321.35
Cons.0.0047502*1.860.0053509*2.000.0053957*2.01
N207207207
F-value7.44***6.63***7.55***
R-Square0.15620.14160.1580
VariableClaytonGumbelGaussian
Panel 4–3. Estimated parameters of the pair variables of digitalGSVI and return_no_logVNIndex
Parameter−0.064991−0.086*
Loglikeihood0.4553−2.277e-070.7092
Note(s):

*, **, and *** are significant at the 10, 5, and 1% levels, respectively; The null hypothesis is that the variable in the row is not a Granger cause variable in the column *, **, and *** are significant at the 10, 5, and 1% levels, respectively *is the fittest estimation

Source(s): the authors

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