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Journal : Al-Buhuts (e-journal)

Analisis Portofolio Optimal pada Saham Perbankan Abdul Manap
Al-Buhuts Vol. 18 No. 2 (2022): Al-Buhuts
Publisher : Institute Agama Islam Negeri (IAIN) Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30603/ab.v18i2.2926

Abstract

The purpose of research is to determine how much influence the optimal portfolio according to risk and stock profit. This study uses a quantitative method with a descriptive approach, using The IDX Composite (IHSG), interest rate of Bank Indonesia Certificate (SBI), and stock price index of banking sector during August-October 2020, establishment of optimal portfolio is analyzed with single index model. The result show from 35 stocks analysed, there are 9 stocks identified as optimal portfolio with 0.3649% return and 1.0055% risk
- Pengaruh Bank Indonesia Rates dan Federal Fund Rates terhadap Indeks Harga Saham Gabungan di Bursa Efek Indonesia Abdul Manap; Rini Yulia Sasmiyati; Norman Edy; Mustangin Mustangin; Mohamad Ramadhan Agung Nugroho
Al-Buhuts Vol. 19 No. 1 (2023): Al-Buhuts
Publisher : Institute Agama Islam Negeri (IAIN) Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30603/ab.v19i1.3399

Abstract

The purpose of this study was to determine the effect of Bank Indonesia Rates (BI Rates) and Federal Fund Rates. This study used secondary data, especially data from Bank Indonesia and The Federal Reserve. This data is time series data (monthly) from December 2020 to December 2022. Data analysis used multiple regression because there were two or more independent variables. In this classic assumption or regression assumption test, there are four assumption tests that must be fulfilled in the regression analysis, namely the Normality Test, Multicollinearity Test, Heteroscedasticity Test, and Autocorrelation Test. In testing, Bank Indonesia Rates and Federal Fund Rates have significant and simultaneous effect on the IDX Composite. The coefficient of determination of R Square was 0.589 or around 58.9%. It can be concluded that these figures indicate that the BI Rates and Federal Fund Rates have a contribution in explaining the variation of the IDX Composite variable of 58.9% while the remaining 41.1% is influenced by other variables, this illustrates the implementation of monetary policy which is still expansive.