scholarly journals ANALISIS PEMBENTUKAN PORTOFOLIO OPTIMAL MENGGUNAKAN MODEL INDEKS TUNGGAL

2018 ◽  
Vol 23 (2) ◽  
Author(s):  
Iwan Firdaus

Investors in the capital market will generally invest in stocks that have high returns with minimal risk. In order to reduce the level of risk then the shares can be formed into a portfolio. The purpose of this study was to determine the shares of LQ 45 index member to form th optimal portfolio and to determine the proportion of each stock chosen and the level of return the analysis showed that using Single Index Model approach. Stocks member LQ 45 period every January 2012 to January 2016 ti establish an optimal portfolio is comprised of ASII with a proportion 80,39%, with the proportion of BBCA 0,006% , with the proportion of ICBP 5,07%, with the proportion of UNTR 5,06%, with the proportion of UNVR 9,42% and the rate of profit (expected return) portfolio amounted to 3,65% with a risk of 0,01%.

2016 ◽  
Vol 4 (2) ◽  
pp. 163
Author(s):  
Dwi Larasati ◽  
Abdul Kohar Irwanto ◽  
Yusrina Permanasari

<p><em>Capital market </em><em>is</em><em> a </em><em>meeting </em><em>place for pe</em><em>ople</em><em> who h</em><em>ave</em><em> excess money </em><em>and those</em><em> who </em><em>need money</em><em> </em><em>for </em><em> transaction of security. Every investor need</em><em>s </em><em>optimal profits with minimal risk. Portfolio is basically related to how one allocates a number of stocks into various investment types that results </em><em>i</em><em>n optimal profits. By making diversification, investor</em><em>s</em><em> may reduce the rate of risk and at the sametime optimize the rate of expected return. Based on this case this research raises the problem of how to design an optimal portfolio simulation. i.e. a combination of liquid shares LQ 45 list ini Indonesia</em><em>n</em><em> Stock Exchange in the period of 2009-2011 by using two method</em><em>s</em><em>, using Single Index Model and Indexing. 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 indexing is </em><em>to </em><em>make </em><em>one’s</em><em> own group i.e liquid LQ 45 calculat</em><em>ing</em><em> the risk and return then compare the result with Single Index Model, the procedure </em><em>of</em><em> all securities are ranked by ERB instead of Excess Return to Risk</em><em> (ERR)</em><em>. After securities </em><em>were</em><em> ranked using the above ratio, securities with greater Excess return to standart deviation and cut off point (C*) </em><em>we</em><em>re included into the optimal portfolio. The conclu</em><em>sion</em><em> of this research </em><em>is that it is </em><em>better to choose Single Index Model as the methode  result</em><em>ing i</em><em>n optimal profits.  </em><em></em></p><em>Keyword: Optimum portfolio, LQ 45, single index, indexing</em>


2019 ◽  
Vol 6 (01) ◽  
Author(s):  
Erma Yuliaty ◽  
Erwin Dyah Astawinetu ◽  
Sri Hadijono

Investors basically pay more attention to risks than returns (profit rates). For this purpose,investors form a portfolio. A trusted portfolio can reduce risk and increase return. In forming aportfolio to reduce risk, it is expected to diversify. Due to rational investors, investors try to getan optimal portfolio, namely a portfolio that will produce the most minimal risk. Whereas ininvesting in the capital market, investors will be faced with many shares. The LQ-45 index is anindex containing 45 stocks with high liquidity and large capitalization. In connection with thismatter, in this study a research is conducted on the formation of an optimal portfolio using LQ45sharesandusingtheSingle-IndexModelapproach.Theresultsofthisstudyindicatethatoutof40LQ-45stocksthatsuccessfullyenteredastheresearchobject,10stockcandidateshavethepotentialto form an optimal portfolio. However, after being tested against Zi, only one stockwas chosen to form the optimal portfolio, namely AKRA shares. Thus AKRA's hundred percentshare becomes the optimal portfolio that generates returns of 0.2531% with a risk of 0.51%. Keywords: LQ-45 Index, Single-Index Model, optimal portfoli


2019 ◽  
Vol 6 (01) ◽  
Author(s):  
Erma Yuliaty ◽  
Erwin Dyah Astawinetu ◽  
Sri Hadijono

Investors basically pay more attention to risks than returns (profit rates). For this purpose,investors form a portfolio. A trusted portfolio can reduce risk and increase return. In forming aportfolio to reduce risk, it is expected to diversify. Due to rational investors, investors try to getan optimal portfolio, namely a portfolio that will produce the most minimal risk. Whereas ininvesting in the capital market, investors will be faced with many shares. The LQ-45 index is anindex containing 45 stocks with high liquidity and large capitalization. In connection with thismatter, in this study a research is conducted on the formation of an optimal portfolio using LQ45sharesandusingtheSingle-IndexModelapproach.Theresultsofthisstudyindicatethatoutof40LQ-45stocksthatsuccessfullyenteredastheresearchobject,10stockcandidateshavethepotentialto form an optimal portfolio. However, after being tested against Zi, only one stockwas chosen to form the optimal portfolio, namely AKRA shares. Thus AKRA's hundred percentshare becomes the optimal portfolio that generates returns of 0.2531% with a risk of 0.51%. Keywords: LQ-45 Index, Single-Index Model, optimal portfoli


2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Sarayut Nathaphan ◽  
Pornchai Chunhachinda

Efficient portfolio is a portfolio that yields maximum expected return given a level of risk or has a minimum level of risk given a level of expected return. However, the optimal portfolios do not seem to be as efficient as intended. Especially during financial crisis period, optimal portfolio is not an optimal investment as it does not yield maximum return given a specific level of risk, and vice versa. One possible explanation for an unimpressive performance of the seemingly efficient portfolio is incorrectness in parameter estimates called “estimation risk in parameter estimates”. Six different estimating strategies are employed to explore ex-post-portfolio performance when estimation risk is incorporated. These strategies are traditional Mean-Variance (EV), Adjusted Beta (AB) approach, Resampled Efficient Frontier (REF), Capital Asset Pricing Model (CAPM), Single Index Model (SIM), and Single Index Model incorporating shrinkage Bayesian factor namely, Bayesian Single Index Model (BSIM). Among the six alternative strategies, shrinkage estimators incorporating the single index model outperform other traditional portfolio selection strategies. Allowing for asset mispricing and applying Bayesian shrinkage adjusted factor to each asset's alpha, a single factor namely, excess market return is adequate in alleviating estimation uncertainty.


2021 ◽  
Vol 3 (3) ◽  
pp. 69-84
Author(s):  
Abd Muhni Salam ◽  
Augustina Kurniasih

The purpose of this study is to analyze the return, risk, and optimal portfolio performance of LQ45 stocks formed by a single index model in the period August 2017-January 2020. This research is a descriptive study with a quantitative approach. The data collection technique used is documentation study. Based on the results of the calculation, it is found that out of 33 stocks that met the sample criteria, 3 stocks were selected to compile the optimal portfolio, namely BRPT, ICBP, and BBCA stocks. The stock had expected returns of 5.50%, 1.34%, and 2.02%, respectively, whit a risk of 12.87%, 4.75%, and 4.08%, respectively. The optimal portfolio formed has expected return of 2.60% and risk of 4.05%. After measuring performance with the Sharpe, Treynor, & Jensen approach, it is found that the performance of the portfolios that is formed is better than market performance.


2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Mochamad Andik Firmansyah

Penelitian ini bertujuan untuk menentukan level of expected return dan the best risk of optimal portfolio  formation dengan menggunakan Single Index Model pada saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dari bulan Januari 2018 sampai January 2019. Saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dengan populasi sebanyak 20 perusahaan. Dengan menggunakan populasi sebesar 20 perusahaan maka peneliti menggunakan purposive sampling, dan ternyata hanya 18 perusahaan saja yang ditemukan memenuhi kriteria penelitian ini. Penelitian ini juga menggunakan metode Kuantitatif Deskriptif. Analisa data pada penelitian ini untuk menentukan saham-saham mana saja yang termasuk the optimal portfolio, dan juga the level of proportion of 1 funds yang termasuk juga dalam kategori the optimal portfolio dan the level of expected return serta the best risk of the optimal portfolio yang terbentuk dengan menggunakan Single Index Model. Hasil dari penelitian ini menunjukan bahwa terdapat 5 perusahaan dengan kategori the optimal portfolio dari 18 sampel perusahaan pada saham IDX BUMN 20 dengan tingkat tertinggi dari level of proportion of 1 funds ditemukan pada PTBA share sat 1.89333 or 189,333%, di lain pihak dengan tingkat terendah adalah pada TLKM shares at -2.13488 or -213.488% yang berarti bahwa saham TLKM adalah negatif dan harus dijual dalam jangka waktu pendek sebesar 213,488% dari dana yang dimiliki oleh para inventor dan menghasilkan rate of return yang diharapkan dari formasi optimal portfolio sebesar 0.17583 or 17.583% lebih tinggi dari yang diharapkan oleh market return sebesar 0.00264 or 0.264% dan memiliki tingkat portfolio risk borne sebesar 0.10384 or 10,384%, lebih kecil dari the risk of market sebesar 0.03367 or 3,367% dan beta market sebesar 1.Kata Kunci : Portfolio, Optimal Portfolio, Single Index Model.


2019 ◽  
Vol 6 (02) ◽  
Author(s):  
Rony Mahendra ◽  
Erwin Dyah Astawinetu

The research objective is to establish an optimal portfolio and know the difference between risk and return stock index portfolio candidates and non-candidates. Method used in the preparation of this research portfolio is the single index model, while the samples of this study are active world stock indices version of The Wall Street Journal during the period August 2012 - August 2016 and The Global Dow is used as the benchmark stock index. In establishing the optimal portfolio is used two perspectives: the Rupiah perspective and the U.S. Dollar perspective. The results showed there were three stock indices from the perspective of Rupiah and 8 share index menurutperspektif U.S. Dollar that make up the optimal portfolio, with the cut-of-pointsebesar 0,01393menurut Rupiah perspective and the perspective of 0.0078 US Dollars Based on the perspective of return expectations Rupiah obtained by 0.0258 with a risk of 0.06512. Berdarkan perspective of US Dollars, obtained return expectations at 0.0154 with a risk of 0.0292. From the test results showed that the hypothesis, the return on both perspectives there are significant differences between the index of the candidate, with a non-candidate. Then the risk of stock index, among the candidates, with a non-candidate, the Rupiah perspective there is no difference, but in the perspective of US Dollars, there are significant differences.Keywords: Single Index Model, candidate portfolio, optimal portfolio, expected return, excess return to beta, cut-off-point


2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Anny Widiasmara ◽  
Putri Widyasari

<p><strong>ABSTRACT</strong></p><p><strong></strong><br />The purpose of this study was to assess the risk and return stock that could be an option to invest by using single index model Compass 100 on the IDX in 2010-2014. This type of research used in this research is descriptive quantitative approach. Samples taken as many as 44 companies of the index Compass 100. The results showed that of the 44 samples selected companies, there were 13 companies that have an optimal return and minimal risk to the proportion of each stock: UNVR of 0.2372039%, ANTM of 0.0057649% , BMTR of 0.14997799%, GGRM of 0.1226567%, MNCN of 0.1571756%, JSMR of 0.2749157%, KLBF of 0.0493033%, CPIN at 98.771899%, CTRA of 0.1009368%, GJTL of 0.0607808%, MEDC of 0.0209188%, KIJA of 0.0253161%, LPKR 0.0231518%. Based on the portfolio has been formed on the calculation of portfolio return of 4.74% and the risk of a portfolio of 0.0019683%.</p><p><br /><strong>Keywords : Singe Index Model, Optimal Portfolio, Investment Options</strong></p>


2017 ◽  
Vol 2 (1) ◽  
pp. 17
Author(s):  
Hana Tamara Putri ◽  
Santi Dwi Lestari

Research portfolio optimal aims to understand return and risks portfolio, and know how much teh proportion of funds invested. The period used in this reseach was februari 2011-januari 2016. Population to research there are stock companies joined in LQ-45 index. The sample of the research are 21 sample. The data collected is secondary data. Tekhnik data analysis used in research this is the kind of index singular to know shares from portrfolio optimal. Shares who was a candidate portfolio optimal are stocks having the value ERB greater than or equal to cut off-rate. Portfolio optimal formed by the shares having value ERB more of the value of cut of rate that is 0.0031. Based on the research done showed 10 stock who was a candidat portfolio optimal from 21 sample. The propotion of funds drom 10 company is: UNVR of 31.18%, ICBP of 20.40%, GGRM of 5.84%, BBCA of 14.83%, CPIN of 5.05%, JSMR of 10.08%, LPKR of 4.82%, BBRI of 6.01%, INTP of 1.16%, dan BMRI of 0.63%. Expected return portfolio receive is 1.73% monthly with the risk 0.2%. the conclusion that obtained was that investors rational to invest the funds to into the optimal portfolio of 10 shares formed.Keyword : investation, optimal stock


2018 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Mira Dwiastuti ◽  
Evaliati Amaniyah ◽  
Echsan Gani

The purpose of study is to determinan optimal portofolio by using Single Index Model at manufacturing company in BEI. The method used in this study is descriptive method. By using purposive sampling method is obtained 11 sample of the manufacturing company. The result of this study  is only three company that make up the optimal portfolio from 11 company because they  have ERB more than cut off point (0,086198) and These companies are PT. Gudang Garam, TBk, PT Astra outopart Tbk dan PT. Unilever Indonesia Tbk.  The proportion of stock in the portfolio are 19.68% PT Gudang garam Tbk, 72.83%  PT Astra outopart Tbk and 7.49% PT. Unilever Indonesia Tbk.  The expected return portfolio is. 10.11% greater  than expected return risk free (SBI) that only 0.534%, risk portfolio 0.2261 smaller than some risk individual stock and beta portfolio 0.9342


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