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Iwan Kusmayadi
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PROSPEK SAHAM PERBANKAN DI INDONESIA Iwan Kusmayadi; Muhammad Ahyar; Muhdin Muhdin; G. A. Oktaryani
JMM UNRAM - MASTER OF MANAGEMENT JOURNAL Vol. 9 No. 2 (2020): JMM Juni 2020
Publisher : Master of Management, Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.155 KB) | DOI: 10.29303/jmm.v9i2.547

Abstract

The focus of this research is to determine stocks provide the highest profit (gain opportunity) for investors. Investors will compare opportunities in choosing investment in the banking sector by comparing the combination of long-term growth rates rather than bank fundamentals with stock valuations. The population in this study is banking stocks included in the LQ45 index. The method of data collection uses a sample survey with a purposive sampling technique with the criteria of banking stocks with the largest market capitalization and has a high level of liquidity in trading values, and has consistently been included in the LQ45 index for the last 10 years (2008 to 2017). The number of samples selected were 4 banks consisting of Bank Mandiri (BMRI), Bank BRI (BBRI), Bank BCA (BBCA), and Bank BNI (BBNI). Data collection techniques through documentation, as well as quantitative data sourced from secondary data. Data analysis techniques by comparing the growth of fundamental performance such as Return On Assets (ROA), Return On Equity (ROE), Debt to Equity (DER), Capital Addequacy Ratio (CAR), and Non Performing Loans (NPL). Whereas market performance through Share Price, Earning Per Share (EPS), Price Earning Ratio (PER), Price to Earning Growth (PEG), and Dividend Yield by using compounded annual growth rate (CAGR). Then compare the value of the Margin Of Safety (MOS) Average in stock valuation analysis. The results of this study indicate that the financial performance of Bank BCA (BBCA) is superior to other banks according to DER, CAR and NPL. BRI is the best bank in generating profitability (ROA and ROE) compared to 3 other banks. Meanwhile, according to the stock market performance based on the order of the greatest opportunity level, Bank BNI has the best prospects because it has the largest EPS growth, the lowest stock price valuation, and sufficient MOS value, then ranked below it respectively are Bank Mandiri, Bank BRI, and Bank BCA .Keywords:Financial performance, market performance, and stock value
OPTIMIZING PORTFOLIO RETURN WITH NAÏVE DIVERSIFICATION-BASED MODELLING Baiq Nurul Suryawati; Laila Wardani; Muttaqillah Muttaqillah; Iwan Kusmayadi
JMM UNRAM - MASTER OF MANAGEMENT JOURNAL Vol. 10 No. 1 (2021): JMM Maret 2021
Publisher : Master of Management, Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.231 KB) | DOI: 10.29303/jmm.v10i1.646

Abstract

This study aims at applying naïve diversification-based modeling in formation of optimal portfolios and to test the superiority of these portfolios against its sectoral indexes. The population of this study are all companies listed on the Indonesia Stock Exchange which are grouped into 10 sectors, namely: Agriculture; Basic Industry; Consumer; Finance; Infrastructure; Manufacture; Mining; Miscelanous Industry; Property; and Trade. The sample of this company is Top 10 Constituents in each company sector listed in the fact sheet per sector, published by the Indonesia Stock Exchange. The analytical tools used were paired sample statistics, paired sample correlations and significance tests. The results shows that portfolio formed with naïve diversification modeling shows its superiority compared to its sectoral portfolio. The correlation test shows moderate significance relationship between returns and standard deviation of sectoral portfolios with naïve diversification-based portfolios, while beta shows no meaningful relationship between sectoral portfolios and portfolios with naïve diversification modeling. Discrimination tests show the significance of returns and standard deviations between sectoral and naïve diversification modeling-based portfolios. While in line with the correlation test, there is no significant difference between the beta of the two portfolios, so it appears that the volatility of the two portfolios cannot be separated from overall market movement. For bearish market conditions, the level of portfolio loss using naïve diversification modeling is lower than sector-based portfolios in the Indonesia Stock Exchange.Keywords:investment, sector indexes, simplified, portfolio modelling 
Co-Authors Baiq Nurul Suryawati G. A. Oktaryani Laila Wardani Muhammad Ahyar Muhdin Muhdin Muttaqillah Muttaqillah