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Abstrak :
Penelitian ini bertujuan untuk mengetahui bagaimana proses investasi suatu saham dilakukan dengan beberapa masalah pokok antara lain bagaimana prosedur membentuk portofolio optimal, kombinasi saham-saham mana saja yang membentuk portofolio optimal, berapa proporsi alokasi dana pada masing-masing saham-saham tersebut, bagaiana evaluasi kinerja portofolio tersebut. Untuk tujuan penelitian tersebut, dipilih sampel saha-saham yang tergabung dalam saham LQ 45 di Bursa Efek Jakarta (BEJ} dengan periode pengamatan harga-harga saham mingguan selama 2 tahun, yaitu mulai Januri 2003 sampai dengan Desember 2004. Dalam penelitian ini digunakan model Single Index dan Constan Correlation Elton Gruber Padberg (1996) dalam menganalisa sekuritas dan pembentukan portofolio optimal, dapat memberikan beberapa simpulan yaitu portofolio saham yang masuk kedalam Single Indeks Model adalah ELTY, INKP, ENRG, INCO, UNSP, BUMI, TKIM, BDMN, TINS, BFIN, PLAS, CTRS, UNTR, EPMT, SMCB, BBRI, ADHI. Dengan return portofolio sebesar 2382019 %, dengan resiko o sebesar 4.117439%. Dengan menggunakan Constant Correlation Model portofolio saham yang didapat adalah ENRG, UNTR, BBRI, INCA, TKIM, UNSP, ADHI, ASH, ISAT, TINS, INTP, CTRS, EPMT. Dengan return portofolio sebesar 2.523737% dan resiko ap sebesar 4,08%. Dari basil pengujian yang dilakukan didapat bahwa kinerja portofolio yang dibentuk oleh model Single Index lebih unggul dibanding dengan Constant Correlation.

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The objectives of this research are to get knowledge how investment's process to be done with some main problem. There are how to make an optimal portfolio, how are stocks combination in optimal portfolio, how is the fund allocation in each stock which will make an optimal portfolio's proportion, and how is the performance evaluation of each portfolio, which one is more superior than the other. To answer those problems, the weekly stock which is included in LQ 45 was taken as a sample. With research's periods was January 2003 until December 2004. Single Index Model and Constant Correlation used in analyzing security to obtain optimal portfolio. From that method this research gives some conclusion, the first is stocks portfolio which included in Single Index Model are ELTY, INKP, ENRG, INCO, UNSP, BUMI, TKIM, BDMN, TINS, BFIN, PLAS, CTRS, UNTR, EPMT, SMCB, BBRI, ADHI. Its gives 2.782019% portfolio return, with portfolio's risk o 4.11 %. The second is by the Constant Correlation Model portfolio obtained stocks ENRG, UNTR, BBRI, INCO, TKIM, UNSP, ADHI, ASII, ISAT, TINS, INTP, CTRS, EPMT. With portfolio's return 2.523737% and risk's portfolio Qp 4.08%. From the test evaluation performance of portfolio resulting that portfolio made by Single Index Model superior than portfolio made by Constant Correlation model.

Abstrak :
Portfolio is basically related to how one allocates a number of stocks into various investment types that results on optimal profits. By making diversification, investor may reduce the rate of risk and at the same time optimize the rate of expected return. Based on that, this research raises the problem of how to design an optimal portfolio simulation, i.e. a combination of liquid shares LQ 45 listed in Jakarta Stock Exchange (Now is known as Indonesia Stock Exchange, after the merger with Surabaya Stock Exchange) in the period of 2002-2007 by using Single Index Model and Constant Correlation Model. Single Index Model is a model of portfolio analysis using the account of Excess Return to Beta (ERB) Ratio and value of C* to gain optimal shares on portfolio. The procedure of Constant Correlation Model is exactly parallel to the case of Single Index Model. However, unlike in the Single Index Model, all securities are ranked by Excess Return to Standard Deviation (ERS) instead of Excess Return to Risk. After securities are ranked using the above ratio, securities with greater Excess Return to Standard Deviation and Cut off Point (C*) are included into the optimal portfolio.

Abstrak :
Abstract. Portfolio is basically related to how one allocates a number of stocks into various investment types that results on optimal profits. By making diversification, investor may reduce the rate of risk and at the same time optimize the rate of expected return. Based on that, this research raises the problem of how to design an optimal portfolio simulation, i.e. a combination of liquid shares LQ 45 listed in Jakarta Stock Exchange (Now is known as Indonesia Stock Exchange, after the merger with Surabaya Stock Exchange) in the period of 2002- 2007 by using Single Index Model and Constant Correlation Model. Single Index Model is a model of portfolio analysis using the account of Excess Return to Beta (ERB) Ratio and value of C* to gain optimal shares on portfolio. The procedure of Constant Correlation Model is exactly parallel to the case of Single Index Model. However, unlike in the Single Index Model, all securities are ranked by Excess Return to Standard Deviation (ERS) instead of Excess Return to Risk. After securities are ranked using the above ratio, securities with greater Excess Return to Standard Deviation and Cut off Point (C*) are included into the optimal portfolio.

Abstrak :
Investasi pada saham untuk saham-saham yang telah go-public di pasar modal akan memberikan return (hasil) dan risk (risiko) bagi investornya. Sehubungan dengan return dan risk ini maka investor harus memilih kombinasi saham yang dapat memberikan return dan risk yang optimal. Pengamatan pada saham-saham yang paling aktif tiap bulannya di Bursa Efek Jakarta antara bulan Oktober 1993 sampai dengan September 1994 terpilih 20 saham sebagai saham kandidat, yaitu saham-saham: 1. Argha Karya Prima Industry (disingkat AKPI), 2. Astra International Incorporation (ASII), 3. Bank Danamon (BDMN), 4. Bank Dagang Nasional Indonesia (BDNI), 5. Bank Internasional Indonesia (BNII), 6. Barito Pacific Timber (BRPT), 7. Duta Anggada Realty (DART), 8. Dharmala Intiland (DILD), 9. Gajah Tunggal (GJTL), 10. Hanjaya Mandala Sampoerna (HMSP), 11. Indah Kiat Pulp and Paper (INKP)5 12. Intl Indorayon Utama (INRU), 13. Indocement Tunggal Perkasa (INTP), 14. Jakarta International Hotel and Development (JIHD), 15. Japfa Comfeed Indonesia (JPFA), 16. Pan Brothers Tex (PBRX), 17. Panin Bank (PNBN), 18. Surabaya Agung Industry Pulp (SHIP), 19. Smart Corporation (SMAR) dan 20. Tjiwi Kimia (TKIM).

Model penentuan proporsi portfolio optimal yang digunakan pada penelitian ini adalah Model Single Index: (disingkat Model SI) dan Model Constant Correlation (Model CC). Dengan mengamati data Indeks Harga Saham Individual (IHSI) diperoleh return saham individu. Dari data suku bunga deposito / bulan pada bank-bank pemerintah diperoleh return untuk risk free assets. Dari data Indeks Harga Saham Gabungan (IHSG) diperoleh return pasar.

Pengolahan data di atas, dengan menggunakan Model Single Index, terpilih 5 saham terpilih, yaitu saham-saham: 1. HMSP, 2. INTP, 3. INKP, 4. BDNI dan 5. TKIM; dengan proporsi optimal untuk masing-masingnya adalah: 1. 80,90175%, 2. 8,65353%, 3. 6,89664%, 4. 1,88740% dan 5. 1,46068%. Sedangkan dengan menggunakan Model Constant Correlation, terpilih 3 saham terpilih, yaitu saham-saham: 1. HMSP, 2. INKP dan 3. INTF; dengan proporsi masing-masingnya adalah: 1. 91,70473%, 2. 7,80834% dan 3. 0,486937..

Setelah penentuan proporsi portfolio optimal dengan kedua model di atas, kemudian dihitung: expected return portfolio, variance return portfolio dan standard deviation portfolio untuk masing-masing model. Pada Model Single Index, di mana 5 saham terpilih, menghasilkan return (yang ditunjukkan oleh expected return portfolio) yang lebih kecil dengan risk (variance dan standard deviation return portfolio) yang lebih kecil pula. Sedangkan pada Model Constant Correlation, dengan 3 saham terpilih, menghasilkan return yang lebih besar dan risiko yang lebih besar pula.