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"Penelitian ini menguji hubungan antara beta dan return di pasar modal Indonesia sebagai uji validitas teori Capital Asset Pricing Model (CAPM) secara empiris. Dalam uji empiris CAPM menggunakan two-pass regression (unconditional beta model), ditemukan bahwa tidak ada hubungan antara beta dan return. Penelitian ini menggunakan metodologi conditional beta model dengan memasukkan variabel dummy dalam unconditional beta model untuk membedakan kondisi up market dan down market. Penelitian ini berhasil membuktikan bahwa terdapat hubungan yang signfikan baik pada saat kondisi up market maupun down market. ......This paper empirically investigates relationship between beta and return in Indonesia stock market as a validity test of Capital Asset Pricing Model (CAPM). In empirical test of CAPM using two-pass regression (unconditional beta model) found there is no relationship between beta and return. This paper using conditional beta model methodology by include dummy variable into unconditional beta model to separate up market and down market condition. This paper reveals there are significant relationship between beta and return both up market and down market condition."

"Tujuan tesis ini adalah untuk mendapatkan indikator awal dalam memprediksi nasabah pembiayaan konsumsi bermasalah pada Unit Syariah Bank X, dengan pendekatan model logit. Penelitian menggunakan 906 sampel nasabah Unit Syariah Bank X dengan kondisi dimana 84 nasabah masuk dalam kategori nasabah bermasalah dan 822 nasabah dalam kategori nasabah tidak bermasalah. Dengan pendekatan model logit diperoleh variabel yang secara signifikan dapat dijadikan indikator awal dalam mendeteksi nasabah pembiayaan konsumsi pada Unit Syariah Bank X akan bermasalah yaitu variabel usia, variabel jumlah tanggungan, variabel kategori perusahaan, variabel kekayaan dan variabel penghasilan. Ditinjau dari ketepatan klasifikasi pendekatan dengan menggunakan model logit memberikan ketepatan klasifikasi 97.10%. ......The objective of this thesis is to obtain initial indicators in predicting non-performing debtors in financing in Sharia' Unit of Bank X using the logit analysis approach. There are 906 costumers of Sharia' Unit of Bank X who were taken as samples in this research, out of which 84 were categorized as non-performing debtors and the remaining 822 were considered as performing debtors. The use of logit analysis has resulted in acquiring significant variables, which can be identified as initial indicators to predict non-performing debtor in financing in Sharia' Unit of Bank X. These are age, number of dependants, company category, asset and earning variables. In term of classification accuracy, the logit analysis approach can provide up to 97,10% exactitude."