printmd('**Kausaler Zusammenhang**')
for j in range(len(series.columns)):
for k in range(len(series.columns)):
if j!=k:
granger = results.test_causality(caused=j, causing= k)
if granger.conclusion=='reject':
print(series.columns[k],'-->', series.columns[j])
print('p = %.3f, Crit.Value = %.2f, Test Stat = %.2f'
%(granger.pvalue, granger.crit_value, granger.test_statistic))
print()
printmd('**Ohne kausalen Zusammenhang**')
for j in range(len(series.columns)):
for k in range(len(series.columns)):
if j!=k:
granger = results.test_causality(caused=j, causing= k)
if granger.conclusion!='reject':
print(series.columns[k],'-->', series.columns[j])
print('p = %.3f, Crit.Value = %.2f, Test Stat = %.2f'
%(granger.pvalue, granger.crit_value, granger.test_statistic))