Research Article

Two Different Points of View through Artificial Intelligence and Vector Autoregressive Models for Ex Post and Ex Ante Forecasting

Table 2

Augmented dickey fuller (ADF) stationary test results.

VariablesLevel valueFirst difference
NoneInterceptTrend and interceptNoneInterceptTrend and intercept

USD1.0078()−2.0151() −2.7693()−9.22638()−9.3790()−9.357046()
0.9172 ( value)0.2802 ( value)0.2107 ( value)0.000 ( value)0.000 ( value)0.000 ( value)

BIST1.5502()0.0584()−3.0669()−11.1903()11.3511()−11.3634()
0.9702 ( value)0.9616 ( value)0.1176 ( value)0.000 ( value)0.000 ( value)0.000 ( value)

GP1.3376()0.3920()−2.0456()−9.9681()−10.2438()−10.2221()
0.95430.9066 ( value)0.57190.0000.0000.000

” means meaningful according to 5% significance level.