halooo.
-Normality Test The normality test aims to determine whether the data or variables that
used is normally distributed or not. The normality test in this study was the Kolmogorov-Smirnov test.
The hypotheses in this test are: H0 = data normally distributed H1 = data not normally distributed H0 is accepted if the significance value is > 0.05
-Formulate statistical hypotheses: H0 : 1= 2= 3= 4= 5= 0, variables MKT, SMB, HMLO, RMW, and
CMA as an independent variable simultaneously has an effect
against excess return portfolio in the period before currency
crisis. H0 : 1= 2= 3= 4= 5= 0, variables MKT, SMB, HMLO, RMW, and
CMA as an independent variable simultaneously has an effect
against portfolio excess returns in the period after the currency crisis. H1: 1≠β2≠ 3≠ 4≠ 5≠ 0, variables MKT, SMB, HMLO, RMW, and
CMA as an independent variable simultaneously does not have
the effect on the excess return of the portfolio in the previous period
currency crisis. H1: 1≠β2≠ 3≠ 4≠ 5≠ 0, variables MKT, SMB, HMLO, RMW, and
CMA as an independent variable simultaneously does not have
the effect on the excess return of the portfolio in the previous period
currency crisis. 2) Seeing the significance value of 0.05 or 5%
If the significance value is 0.05, then H1 is accepted and H0 is rejected.
If the significance value is 0.05, then H1 is rejected and H0 is accepted.
- Step-1: Firstly, We need to select a significance level to stay in the model. (SL=0.05)