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I have 3 times for unit root, firstly is intercept, secondly is intercept and trend, lastly is none.

What will happen, if intercept is stationary, but the others are non-stationary. And how can i interpret this test at critical 5% values?

1.Intercept
Null Hypothesis: MINT has a unit root
Exogenous: Constant
Lag Length: 0 (Automatic - based on SIC, maxlag=13)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic -2.949028 0.0419
Test critical values: 1% level -3.466994
5% level -2.877544
10% level -2.575381


2. Intercept and trend
Null Hypothesis: MINT has a unit root
Exogenous: Constant, Linear Trend
Lag Length: 0 (Automatic - based on SIC, maxlag=13)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic -2.873432 0.1737
Test critical values: 1% level -4.010143
5% level -3.435125
10% level -3.141565


3.None
Null Hypothesis: MINT has a unit root
Exogenous: None
Lag Length: 0 (Automatic - based on SIC, maxlag=13)

t-Statistic Prob.*

Augmented Dickey-Fuller test statistic 0.240933 0.7550
Test critical values: 1% level -2.577945
5% level -1.942614
10% level -1.615522

*MacKinnon (1996) one-sided p-values.

I don't think you really understand what a unit root test is. The unit root test is not about the intercept being stationary or not. It is about the series itself (in levels) being stationary or not. The Dickey and Fuller regressions (I assume this is what you use) used to obtain the test may or may not have an intercept and a trend. In your case, the eviews results you're showing indicate that the null hypothesis is rejected and that the series doesn't have a unit root.