DAFTAR PUSTAKA Copeland,T.E, and Weston, F., 996, Manajemen Keuangan, Jakarta : Erlangga. Dajan,Anto.,98, Pengantar Metode Statistik, Jilid I dan II, Jakarta : PT Pustaka LP35. Darmadji, Tjiptono, Fakhrudin dan Hendy M., 00,.Pasar Modal di Indonesia,Pendekatan Tanya Jawab, Jakarta : Salemba Empat. Ghozali, Imam., 006, Aplikasi Analisis Multivariat Dengan Program SPSS, Semarang : UNDIP. Harahap, Sofyan., 99, Teori Akuntansi Laporan Keuangan, Jakarta : PT. Bumi Aksara. Indriantoro, Nur, dan Supomo., B. 999, Metodologi Penelitian Bisnis Untuk Akuntansi & Manajemen. Edisi Pertama. Yogyakarta : BPFE. Jauhari, Budi Rusman dan Basuki Wibowo., 00, Analisis Fundamental Terhadap Return Saham Pada Periode Bullish dan Bearish Indeks Harga Saham Gabungan, Jurnal Akuntansi dan Keuangan, Vol.9, No., Juli 00. Jogiyanto, 003, Teori Portofolio dan Analisis Investasi, Yogyakarta : BPFE. Koetin,E.A., 993, Analisis Pasar Modal Indonesia., Jakarta : Pustaka Sinar Harapan. Sasongko, Noer dan Nila Wulandari, 006, Pengaruh Eva dan Rasio-Rasio Profitabilitas Terhadap Harga Saham, Jurnal, 006, Empirika. Sugiyono, 00, Metodologi Penelitian Bisnis, Cetakan ketujuh, Bandung : Alfabeta. Suhardi, Michell, 005, Jurnal, Studi Empiris Terhadap Return Saham Pada Industri Food and Beverages di BEJ, Jurnal Akuntansi dan Keuangan, Vol.7, No., Surabaya : Universitas Kristen Petra. Tandelin, 000, Beta Pasar Bullish dan Bearish, Jurnal, www.digilib.petra.ac.id. Umar, Husein., 00. Metode Riset Bisnis. Jakarta : PT. Gramedia Pustaka Utama
IODE BEARISH (000) Frequencies N Mean Median Std. Deviation Minimum Maximum Valid Missing Statistics 9 9 9 9 9 0 0 0 0 0 8.937.063 3.676-8.8 -.0000380 3.0000.500.500 6.700 -.0393098900 8.5776.806.905 93.738.039385 -.39.7.3-639. -.33608.66 8.09.87..03638563 One-Sample Kolmogorov-Smirnov Test N Normal Parameters a,b Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. (-tailed) Mean Std. Deviation Absolute Positive Negative a. Test distribution is Normal. b. Calculated from data. Unstandardiz ed Residual 9.0000000.0395395.09.057 -.09.038.3
Regression Descriptive Statistics Mean Std. Deviation N -.0000380.039385 9 8.937 8.5776 9.063.806 9 3.676.905 9-8.8 93.738 9 Pearson Correlation Sig. (-tailed) N Correlations RETURN SAHAM.000.05.08 -.3.6.05.000.93 -.0.05.08.93.000.0 -.53 -.3 -.0.0.000 -.759.6.05 -.53 -.759.000..305.0.07.009.305..033.6.36.0.033..08.07.07.6.08..000.009.36.07.000. 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 Summary b Change Statistics Adjusted Std. Error of the R Square Durbin- R R Square R Square Estimate Change F Change df df Sig. F Change Watson.35 a..083.00859073. 3.0 86.0.6 a. Predictors: (Constant),,,, b. Dependent Variable: Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig..00.005 3.0.0 a. 86.00.6 90 a. Predictors: (Constant),,,, b. Dependent Variable:
3 a Unstandardized Standardized 95% Confidence Interval for B Correlations Collinearity Statistics B Std. Error Beta t Sig. Lower Bound Upper Bound Zero-order Partial Part Tolerance VIF (Constant) -.09.006-7.75.000 -.06 -.036 -.E-006.000 -.003 -.03.975.000.000.05 -.003 -.003.938.066.00.00.5.30.0.00.007.08..33.903.07.00.00.068.3.668 -.00.003 -.3.06.03.05.7.000.000.335.57.03.000.000.6.7.8..368 a. Dependent Variable: Collinearity Diagnostics a Dimension 3 5 Condition Variance Proportions Eigenvalue Index (Constant).7.000.0.0.06.03.03.73.5.0.0.05.0.09.783.777..5.05.00..3.8.37.06.8.0.0.56 3.978.5.0.00.93.73 a. Dependent Variable: Predicted Value Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Residuals Statistics a Minimum Maximum Mean Std. Deviation N -.835650.0337780 -.0000380.08799869 9-5.35.36.000.000 9.00.00.008.006 9 -.09833006.065300 -.0376665.065003350 9 -.0999599.07576753.000000000000.0395395756 9 -.5.857.000.978 9 -.7.87 -.006.003 9 -.00975378.0767085 -.000653557.0975868 9 -.55.900 -.009.03 9.095 85.30 3.956.8 9.000.8.0.09 9.00.98.0.7 9
Charts Histogram Dependent Variable: 0 5 Frequency 0 5 0-3 - - 0 Mean = -.58E-6 Std. Dev. = 0.978 N = 9 Regression Standardized Residual Normal P-P Plot of Regression Standardized Residual Dependent Variable:.0 0.8 Expected Cum Prob 0.6 0. 0. 0.0 0.0 0. 0. 0.6 Observed Cum Prob 0.8.0
5 Scatterplot Dependent Variable: Regression Studentized Residual 0 - - -3-6 - - 0 Regression Standardized Predicted Value 6
6 IODE BEARISH (ABSOLUT) Variables Entered/Removed b Variables Variables Entered Removed Method,,, a. Enter a. All requested variables entered. b. Dependent Variable: AbsUt Summary Adjusted Std. Error of R R Square R Square the Estimate.08 a.03 -.00.09780 a. Predictors: (Constant),,,, Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig..00.000.968.9 a.0 86.000.03 90 a. Predictors: (Constant),,,, b. Dependent Variable: AbsUt (Constant) a. Dependent Variable: AbsUt Unstandardized a Standardized B Std. Error Beta t Sig..03.003 9.8.000 -.9E-005.000 -.59 -.6.7.000.00.06.3.87.000.00.0.6.807 -.0E-005.000 -.087 -.538.59
IODE BULLISH (006) Frequencies N Mean Median Std. Deviation Minimum Maximum Valid Missing Statistics 00 00 00 00 00 0 0 0 0 0 36.3867.3998.7889.09.008730967 0.0700.8550.9800 6.6800.00000000000 5.6085 3.77685 0.3803 77.8935.077835307-73.7 -.8-68.97-9.35 -.070555 69.9.6 65.5 87.7.079555 One-Sample Kolmogorov-Smirnov Test N Normal Parameters a,b Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. (-tailed) Mean Std. Deviation Absolute Positive Negative a. Test distribution is Normal. b. Calculated from data. Unstandardiz ed Residual 00.0000000.068.83.83 -.0.83.00
Regression Descriptive Statistics Mean Std. Deviation N.008730967.077835307 00 36.3867 5.6085 00.3998 3.77685 00.7889 0.3803 00.09 77.8935 00 Pearson Correlation Sig. (-tailed) N Correlations RETURN SAHAM.000 -.07.6 -.00 -.06 -.07.000 -.009.08 -.03.6 -.009.000.7 -.8 -.00.08.7.000 -.755 -.06 -.03 -.8 -.755.000..33.07.35.39.33..63.39..07.63..000.000.35.39.000..000.39..000.000. 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 Summary b Change Statistics Adjusted Std. Error of the R Square Durbin- R R Square R Square Estimate Change F Change df df Sig. F Change Watson.96 a.088.09.0679099708.088.86 95.066.88 a. Predictors: (Constant),,,, b. Dependent Variable: ANOVA b Sum of Squares df Mean Square F Sig. Regression.007.00.86.066 a Residual.068 95.00 Total.075 99 a. Predictors: (Constant),,,, b. Dependent Variable:
3 (Constant) Unstandardized Standardized a 95% Confidence Interval for B t Sig. Lower Bound Upper Bound Correlations Zero-order Partial Part Collinearity Statistics VIF B Std. Error Beta Tolerance.003.003.8. -.00.009-6.3E-007.000 -.003 -.036.97.000.000 -.07 -.00 -.003.997.003.003.00.30.90.005.00.005.6.86.85.38.85 -.00.00 -.59 -.579.0 -.00.000 -.00 -.56 -.53.8.378-8.3E-005.000 -.35 -.509.35.000.000 -.06 -.53 -.8.396.5 a. Dependent Variable: Collinearity Diagnostics a Dimension 3 5 a. Dependent Variable: Condition Variance Proportions Eigenvalue Index (Constant).9.000.0.00.05.0.05.30.90.9.0.0.00.0.86.607.3.75.0.00.03.9.78.56.0.3.00.8.37.08.0.00.58.95.60 Predicted Value Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Residuals Statistics a Minimum Maximum Mean Std. Deviation N -.0008970.06697083.008730967.008655968 00 -.837 6.979.000.000 00.003.0.00.00 00 -.0309988.5565339.00590880.0353306 00 -.07857855.08078957375.000000000000.06796 00 -.933 3.05.000.980 00 -.958 3.89 -.05.00 00 -.0897697.09606590 -.0006785533.09566076 00-3.089 3.75 -.0.0 00.0 66.835 3.960.785 00.000.337.030.8 00.000.675.00.9 00
Charts Histogram Dependent Variable: 50 0 Frequency 30 0 0 0-3 - - 0 3 Regression Standardized Residual Mean = -3.6E-7 Std. Dev. = 0.98 N = 00 Normal P-P Plot of Regression Standardized Residual Dependent Variable:.0 0.8 Expected Cum Prob 0.6 0. 0. 0.0 0.0 0. 0. 0.6 0.8.0 Observed Cum Prob
5 Scatterplot Dependent Variable: Regression Studentized Residual 3 0 - - -3-0 6 Regression Standardized Predicted Value 8
6 Regression Absolut Variables Entered/Removed b Variables Variables Entered Removed Method,,, a. Enter a. All requested variables entered. b. Dependent Variable: AbsUT Summary Adjusted Std. Error of R R Square R Square the Estimate.9 a.085.07.090750565 a. Predictors: (Constant),,,, Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig..003.00.9.073 a.035 95.000.038 99 a. Predictors: (Constant),,,, b. Dependent Variable: AbsUT (Constant) a. Dependent Variable: AbsUT Unstandardized a Standardized B Std. Error Beta t Sig..07.00 7.607.000 -.5E-005.000 -.9 -.08.30.00.00.370.98.0 -.00.000 -.89 -.38.09-5.6E-005.000 -. -.6.57
7 IODE BULLISH (ABSOLUT) Variables Entered/Removed b Variables Variables Entered Removed Method,,, a. Enter a. All requested variables entered. b. Dependent Variable: AbsUT Summary Adjusted Std. Error of R R Square R Square the Estimate.9 a.085.07.090750565 a. Predictors: (Constant),,,, Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig..003.00.9.073 a.035 95.000.038 99 a. Predictors: (Constant),,,, b. Dependent Variable: AbsUT
8 (Constant) a. Dependent Variable: AbsUT Unstandardized a Standardized B Std. Error Beta t Sig..07.00 7.607.000 -.5E-005.000 -.9 -.08.30.00.00.370.98.0 -.00.000 -.89 -.38.09-5.6E-005.000 -. -.6.57