60
LAMPIRAN
Lampiran A
Emiten Sektor Pertambangan 2010-2014
No.
Perusahaan
Symbol
1
Adaro Energy Tbk.
ADRO
2
ATPK Resources Tbk.
ATPK
3
Bumi Resources Tbk. [S]
BUMI
4
Darma Henwa Tbk.
DEWA
5
Garda Tujuh Buana Tbk.
GTBO
6
Indo Tambangraya Megah Tbk. [S]
ITMG
7
Perdana Karya Perkasa Tbk. [S]
PKPK
8
Petrosea Tbk [S]
PTRO
9
Resource Alam Indonesia Tbk. [S]
KKGI
10
Tambang Batubara Bkt Asam Tbk.
[S]
PTBA
11
Elnusa Tbk. [S]
ELSA
12
Energi Mega Persada Tbk.
ENRG
13
Medco Energi International Tbk.
MEDC
14
Radiant Utama Interinsco Tbk.
RUIS
15
Ratu Prabu Energi Tbk.
ARTI
16
Aneka Tambang (Persero) Tbk. [S]
ANTM
17
Cita Mineral Investindo Tbk. [S]
CITA
18
Timah (Persero) Tbk. [S]
TINS
19
Citatah Industri Marmer Tbk.
CTTH
20
Mitra Investindo Tbk
MITI
61
Data Return Saham Sektor Pertambangan
Bulan/Tahun
2014
2013
2012
2011
2010
Data Harga Minyak Dunia
Bulan/Tahun
2014
2013
2012
2011
2010
DES
763342 1233526 892760
949212 847458
NOV
962008 1138622 881049
922955 792792
OKT
1062096 1198466 898633
807970 773014
SEPT
1152270 1267522 956270
787525 710475
AUG
1183982 1184704 939906
776752 729267
JULY
1267656 1110165 876128
876201 725724
62
Data Nilai Tukar Rupiah Terhadap Dolar US
Bulan/Tahun
2014
2013
2012
2011
2010
Sumber: Bank Indonesia.
Data Harga Emas Dunia
63
Data Tingkat Inflasi Indonesia
Bulan/Tahun
2014
2013
2012
2011
2010
DES
8,36% 8,38% 4,30% 3,79% 6,96%
NOV
6,23% 8,37% 4,32% 4,15% 6,33%
OKT
4,83% 8,32% 4,61% 4,42% 5,67%
SEP
4,53% 8,40% 4,31% 4,61% 5,80%
AUG
3,99% 8,79% 4,58% 4,79% 6,44%
JUL
4,53% 8,61% 4,56% 4,61% 6,22%
JUN
6,70% 5,90% 4,53% 5,54% 5,05%
MAY
7,32% 5,47% 4,45% 5,98% 4,16%
APR
7,25% 5,57% 4,50% 6,16% 3,91%
MAR
7,32% 5,90% 3,97% 6,65% 3,43%
FEB
7,75% 5,31% 3,56% 6,84% 3,81%
64
One-Sample Kolmogorov-Smirnov Test Unstandardiz
ed Residual
N 60
Normal Parametersa,b Mean 0E-7 Std. Deviation 12,89133835
Most Extreme
Differences
Absolute ,100
Positive ,100
Negative -,074
Kolmogorov-Smirnov Z ,772
Asymp. Sig. (2-tailed) ,590
a. Test distribution is Normal.
b. Calculated from data.
Uji Multikolinearitas
Variables Entered/Removeda Model Variables
Entered
a. Dependent Variable: RETURN
62
Model Summaryb Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 ,412a ,170 ,110 13,352
a. Predictors: (Constant), INFLASI, GOLD, KURS, OIL
b. Dependent Variable: RETURN
ANOVAa
Model Sum of Squares Df Mean Square F Sig.
1
Regression 2008,551 4 502,138 2,817 ,034b
Residual 9805,010 55 178,273
Total 11813,561 59
a. Dependent Variable: RETURN
63
Coefficientsa Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) 20,336 17,984 1,131 ,263
OIL 4,576E-005 ,000 ,547 2,631 ,011 ,350 2,859
KURS -,006 ,002 -,504 -2,624 ,011 ,409 2,442
GOLD -2,111E-005 ,000 -,095 -,648 ,520 ,696 1,437
INFLASI 1,880 1,343 ,207 1,400 ,167 ,691 1,448
a. Dependent Variable: RETURN
Coefficient Correlationsa
Model INFLASI GOLD KURS OIL
1
Correlations
INFLASI 1,000 ,224 -,265 -,229
GOLD ,224 1,000 -,004 -,436
KURS -,265 -,004 1,000 -,602
OIL -,229 -,436 -,602 1,000
Covariances
INFLASI 1,804 9,794E-006 -,001 -5,351E-006
GOLD 9,794E-006 1,060E-009 -3,152E-010 -2,469E-010
KURS -,001 -3,152E-010 4,960E-006 -2,330E-008
OIL -5,351E-006 -2,469E-010 -2,330E-008 3,024E-010
64
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) OIL KURS GOLD INFLASI
1
1 4,923 1,000 ,00 ,00 ,00 ,00 ,00
2 ,050 9,930 ,01 ,00 ,00 ,04 ,72
3 ,014 18,545 ,25 ,43 ,00 ,00 ,07
4 ,009 23,536 ,10 ,02 ,15 ,82 ,20
5 ,003 37,700 ,64 ,55 ,85 ,14 ,00
a. Dependent Variable: RETURN
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value -14,86 16,17 3,92 5,835 60
Residual -22,256 53,628 ,000 12,891 60
Std. Predicted Value -3,220 2,100 ,000 1,000 60
Std. Residual -1,667 4,016 ,000 ,966 60
65
Regression
Variables Entered/Removeda Model Variables
Entered
a. Dependent Variable: RETURN
b. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), INFLASI, GOLD, KURS, OIL
b. Dependent Variable: RETURN
ANOVAa
a. Dependent Variable: RETURN
b. Predictors: (Constant), INFLASI, GOLD, KURS, OIL
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
66
a. Dependent Variable: RETURN
Uji Autokorelasi
Variables Entered/Removeda Model Variables
Entered
a. Dependent Variable: RES2
b. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), INFLASI, GOLD, KURS, OIL
b. Dependent Variable: RES2
ANOVAa
a. Dependent Variable: RES2
67
Coefficientsa Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 30,403 11,598 2,622 ,011
OIL 1,847E-005 ,000 ,349 1,647 ,105
KURS -,004 ,001 -,519 -2,647 ,011
GOLD -1,411E-005 ,000 -,101 -,672 ,504
INFLASI 1,312 ,866 ,229 1,515 ,135
a. Dependent Variable: RES2
Coefficient Correlationsa
Model INFLASI GOLD KURS OIL
1
Correlations
INFLASI 1,000 ,224 -,265 -,229
GOLD ,224 1,000 -,004 -,436
KURS -,265 -,004 1,000 -,602
OIL -,229 -,436 -,602 1,000
Covariances
INFLASI ,750 4,073E-006 ,000 -2,226E-006
GOLD 4,073E-006 4,410E-010 -1,311E-010 -1,027E-010
KURS ,000 -1,311E-010 2,063E-006 -9,690E-009
OIL -2,226E-006 -1,027E-010 -9,690E-009 1,258E-010
68
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) OIL KURS GOLD INFLASI
1
1 4,923 1,000 ,00 ,00 ,00 ,00 ,00
2 ,050 9,930 ,01 ,00 ,00 ,04 ,72
3 ,014 18,545 ,25 ,43 ,00 ,00 ,07
4 ,009 23,536 ,10 ,02 ,15 ,82 ,20
5 ,003 37,700 ,64 ,55 ,85 ,14 ,00
a. Dependent Variable: RES2
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value -,6040 15,7435 9,2132 3,27825 60
Residual -12,65125 37,88416 ,00000 8,31368 60
Std. Predicted Value -2,995 1,992 ,000 1,000 60
Std. Residual -1,469 4,400 ,000 ,966 60
69
Variables Entered/Removeda Model Variables
Entered
a. Dependent Variable: RETURN
b. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), INFLASI, GOLD, KURS, OIL
b. Dependent Variable: RETURN
ANOVAa
a. Dependent Variable: RETURN
b. Predictors: (Constant), INFLASI, GOLD, KURS, OIL
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
70
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value -14,86 16,17 3,92 5,835 60
Residual -22,256 53,628 ,000 12,891 60
Std. Predicted Value -3,220 2,100 ,000 1,000 60
Std. Residual -1,667 4,016 ,000 ,966 60