IER IBV KESIMPULAN DAN SARAN

B. Hasil Estamasi GARCH untuk Indikator IBV

a. LDR

Dependent Variable: ILDR Method: ML - ARCH Marquardt Date: 081506 Time: 06:22 Sampleadjusted: 1995:03 2005:12 Included observations: 130 after adjusting endpoints Convergence achieved after 93 iterations Variance backcast: ON Coefficient Std. Error z-Statistic Prob. C -0.011328 0.003514 -3.223447 0.0013 ILDR-1 -0.402478 0.078350 -5.136906 0.0000 Variance Equation C 0.001122 0.000143 7.838870 0.0000 ARCH1 3.193179 0.562862 5.673114 0.0000 R-squared 0.006572 Mean dependent var -0.000117 Adjusted R-squared -0.017081 S.D. dependent var 0.088035 S.E. of regression 0.088783 Akaike info criterion -2.600154 Sum squared resid 0.993195 Schwarz criterion -2.511922 Log likelihood 173.0100 F-statistic 0.277849 Durbin-Watson stat 1.545541 ProbF-statistic 0.841298

b. FL

Dependent Variable: IFL Method: ML - ARCH Marquardt Date: 081406 Time: 08:37 Sampleadjusted: 1995:03 2005:12 Included observations: 130 after adjusting endpoints Convergence achieved after 15 iterations Variance backcast: ON Coefficient Std. Error z-Statistic Prob. C -0.000815 0.006611 -0.123254 0.9019 IFL-1 0.033144 0.097979 0.338270 0.7352 Variance Equation C 0.004385 0.000380 11.54164 0.0000 ARCH1 0.471736 0.107637 4.382656 0.0000 R-squared 0.003706 Mean dependent var 3.95E-05 Adjusted R-squared -0.020015 S.D. dependent var 0.088044 S.E. of regression 0.088921 Akaike info criterion -2.190065 Sum squared resid 0.996268 Schwarz criterion -2.101833 Log likelihood 146.3542 F-statistic 0.156233 Durbin-Watson stat 1.899939 ProbF-statistic 0.925501 Lampiran 6. Lanjutan

c. DC

Dependent Variable: IDC Method: ML - ARCH Marquardt Date: 081406 Time: 08:38 Sampleadjusted: 1995:03 2005:12 Included observations: 130 after adjusting endpoints Convergence achieved after 48 iterations Variance backcast: ON Coefficient Std. Error z-Statistic Prob. C 0.002601 0.007166 0.363005 0.7166 IDC-1 0.113334 0.113834 0.995602 0.3194 Variance Equation C 0.005552 0.000242 22.95979 0.0000 ARCH1 0.207974 0.125189 1.661282 0.0967 R-squared 0.009775 Mean dependent var 0.000222 Adjusted R-squared -0.013802 S.D. dependent var 0.088008 S.E. of regression 0.088613 Akaike info criterion -2.144683 Sum squared resid 0.989396 Schwarz criterion -2.056451 Log likelihood 143.4044 F-statistic 0.414592 Durbin-Watson stat 1.997981 ProbF-statistic 0.742813

d. ER

Dependent Variable: IER Method: ML - ARCH Marquardt Date: 081406 Time: 08:38 Sampleadjusted: 1995:03 2005:12 Included observations: 130 after adjusting endpoints Convergence achieved after 23 iterations Variance backcast: ON Coefficient Std. Error z-Statistic Prob. C -0.003357 0.001415 -2.373072 0.0176 IER-1 0.042483 0.020575 2.064726 0.0389 Variance Equation C 0.000177 4.36E-05 4.060037 0.0000 ARCH1 3.455911 0.417914 8.269431 0.0000 R-squared 0.003671 Mean dependent var -4.87E-05 Adjusted R-squared -0.020051 S.D. dependent var 0.088043 S.E. of regression 0.088922 Akaike info criterion -3.277836 Sum squared resid 0.996288 Schwarz criterion -3.189605 Log likelihood 217.0594 F-statistic 0.154759 Durbin-Watson stat 1.905281 ProbF-statistic 0.926455 Lampiran 6. Lanjutan