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%

The Ingenuity pathway analysis (IPA) showed crucial pathway related with SCIT.

A. Top 10 canonical pathways of 501 DEPs in asthma/control and 277 regression DEPs were listed in the table based on z-scores. B. Top 10 diseases and biofunctions of 501 DEPs in asthma/control and 277 regression DEPs were listed in the table based on z-scores.</p

GO analysis of 277 regression DEPs.

A. The molecular function (MF). B. The biological process (BP). C. The cellular component (CC). (TIF)</p

The leukocyte extravasation signaling assigned by the IPA software map.

Each line suggested protein-protein interaction. Solid line indicated direct interaction while dashed line means indirect interaction. Red colors pointed to the up-regulation of the expression of DEPs in asthma condition. A. The leukocyte extravasation signaling pathway of 277 regression DEPs. B. The change fold of DEPs in the leukocyte extravasation signaling pathway based on the protein’s abundances.</p

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IHC results.

A. IHC exhibited the expression of proteins in the leukocyte extravasation signaling pathway on formalin-fixed and paraffin-embedded mice lung tissues. Original magnification, × 200. B. H-scores representing IHC results were shown in the section. The histogram was shown as means ± SD, ** represented the asthma group vs. the control group, P P # represented the asthma group vs. the SCIT group, P < 0.05.</p

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GO analysis: The whole mouse protein class as reference.

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Identification of differentially expressed proteins before and after SCIT.

A. Identification of differentially expressed proteins (DPEs), the Venn image; There were 501 differentially expressed proteins between the control group and the asthma group, of which 317 proteins were upregulated and 184 were proteins downregulated in the asthma group (shown in blue). 639 proteins (456 downregulated and 163 upregulated proteins in the asthma group) were differentially expressed after SCIT (shown in red). B. The heat map of 277 regression DEPs. The 277 overlapping proteins were significantly changed in the asthma condition compared with those of the control condition and then returned to levels similar to the related nondisease condition (just as the control condition) after receiving SCIT.</p

Hierarchical clustering analysis reveals differentially expressed protein profiles proteins between groups.

A. Principal component analysis (PCA) showed obvious segregation and aggregation among the three groups, suggesting that our samples were of good quality for further proteomic analysis. B. The volcano plot indicated that the up-regulate (shown in blue) and down-regulate expression (shown in red) proteins of asthma group in comparation with the normal control group (shown in green). C. The volcano plot indicated that the up-regulate (shown in blue) and down-regulate expression (shown in red) proteins of asthma group in comparation with the SCIT group (shown in green).</p