Analisis Portofolio Optimal Dengan Single Index Model Untuk Meminimumkan Risiko Bagi Investor Di Bursa Efek Indonesia (Studi Pada Saham Indeks Kompas 100 Periode Februari 2010-juli 2014)

Investments can be made in the capital market, capital market instruments which are mostly attractive for investors is stock. Stock provides a return in the form of capital gains and dividends yield, not only noticing the return, investors need to pay attention to the investments risk. Unsystematis risk can be minimized by forming the optimal portfolio using one of the methods that is single index model. Study purpose is to knowing the stocks forming the optimal portfolio, the proportion of funds allocated to each stocks, the level of expectation return and risk.The method used in this research is descriptive research method with a quantitative approach. The samples used were 46 stocks in Kompas 100 Index, which meets the criteria for sampling. The results showed that 12 stocks of forming optimal portfolio, the stocks of which are UNVR, TRAM, MNCN, BHIT, JSMR, BMTR, GJTL, KLBF, AALI, CPIN, AKRA, and ASRI. Stock with highest proportion of funds is TRAM (23,52%), stock with lowest proportion of funds is AALI (0,62%). Portfolio which are formed will give return expectations by 3,05477% and carry the risk for about 0,1228%

Protein expression profiles of the influenza- and mock-infected MDCK cells.

<p>Cell lysates (120 µg) were separated on 13-cm (isoelectric point [pI] 4–7) linear gradient IPG strips using 12.5% SDS-PAGE. Differentially expressed protein spots are indicated with green squares. (A) Representative 2-DE gels of influenza- and mock-infected MDCK cells. T1/C: PR8-wt infected/mock infected, T3/C: rH1N1NA infected/mock infected, T4/C: rH9N2NA infected/Mock infected, T5/C: rH5N1NA infected/mock infected, T3/T1: rH1N1NA infected/PR8-wt infected, T4/T1: rH9N2NA infected/PR8-wt infected, T5/T1: rH5N1NA infected/PR8-wt infected. (B) Numbers of differentially expressed protein spots detected by 2-DE in virus-infected MDCK cells compared with mock-infected MDCK cells. The number of spots ≥0 indicated the proteins were upregulated, and the number <0 indicated the proteins were downregulated. (C) Numbers of differentially expressed protein spots detected by 2-DE in recombinant viruses compared with wild-type virus (wt-PR8)-infected MDCK cells.</p

Additional file 1: Table S1. of metaX: a flexible and comprehensive software for processing metabolomics data

The fold change and p-value for all of the features. (XLSX 146 kb

Transcriptional profiles of differentially expressed proteins in influenza virus-infected MDCKs.

<p>Total cellular RNA from MDCKs with or without influenza virus infection was subjected to real-time RT-PCR. Samples were normalized to mock-infected MDCKs using β-actin as the reference gene.</p

Western blots of representative proteins in influenza virus-infected MDCKs.

<p>The samples were prepared from MDCK cells that were virus-infected or mock-infected cells at 6 h p.i.. The β-actin protein was used as a control. (A) Western blot confirmation of differentially expressed proteins for PSMC2 (C08) and UBE2NL (C26). (B) ImageJ software analysis of the ratios of proteins changes according to Fig. 4A.</p

Additional file 2: Table S2. of metaX: a flexible and comprehensive software for processing metabolomics data

The pathway analysis results for the 8 selected biomarkers. (XLSX 14 kb

Classification of the identified proteins based on their functional annotations using Gene Ontology (GO) categories.

<p>The proteins were annotated into three main categories: cellular component, biological process, or molecular function. The Y-axis indicates the number and percentages of genes, the X-axis indicates the GO category.</p

List of differentially expressed protein spots in MDCK cells infected with recombinant viruses and PR8-wt virus identified by MALDI-TOF/TOF.

a<p>The arrow“↑” represents the identified proteins were upregulated and the arrow “↓”represents the identified proteins were downregulated.</p

Additional file 3: Table S3. of metaX: a flexible and comprehensive software for processing metabolomics data

The centrality metrics for each node in the network. (XLSX 22 kb

List of differentially expressed protein spots in influenza virus-infected and mock-infected MDCKs identified by MALDI-TOF/TOF.

a<p>The arrow“↑” represents the identified proteins were upregulated and the arrow “↓”represents the identified proteins were downregulated.</p