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%

Characterization and Expression Analysis of MicroRNAs in the Tube Foot of Sea Cucumber <i>Apostichopus japonicus</i>

<div><p>MicroRNAs (miRNAs) are a class of endogenous non-coding small RNA with average length of 22 nucleotides, participating in the post-transcriptional regulation of gene expression. In this study, we report the identification and characterization of miRNAs in the tube foot of sea cucumber (<i>Apostichopus japonicus</i>) by next generation sequencing with Illumina HiSeq 2000 platform. Through the bioinformatic analysis, we identified 260 conserved miRNAs and six novel miRNAs from the tube foot small RNA transcriptome. Quantitative realtime PCR (qRT-PCR) was performed to characterize the specific expression in the tube foot. The results indicated that four miRNAs, including miR-29a, miR-29b, miR-2005 and miR-278-3p, were significantly up-regulated in the tube foot. The target genes of the four specifically expressed miRNAs were predicted <i>in silico</i> and validated by performing qRT-PCR. Gene ontology (GO) and KEGG pathway analyses with the target genes of these four miRNAs were conducted to further understand the regulatory function in the tube foot. This is the first study to profile the miRNA transcriptome of the tube foot in sea cucumber. This work will provide valuable genomic resources to understand the mechanisms of gene regulation in the tube foot, and will be useful to assist the molecular breeding in sea cucumber.</p></div

Identification of expressed <i>Claudin</i> genes containing SNPs.

<p>Identification of expressed <i>Claudin</i> genes containing SNPs.</p

Summary of SNP validation.

<p>Summary of SNP validation.</p

Analyses of the nucleotide bias at the first position of miRNAs and each position of miRNAs with length of 22 nucleotides.

<p>A: The nucleotide bias at the first position of miRNAs. B: The nucleotide bias at each position of miRNAs with length of 22 nucleotides.</p

GO terms for predicted target genes.

<p>GO terms for predicted target genes.</p

Novel miRNA candidates identified from tube foot of sea cucumber.

<p>Novel miRNA candidates identified from tube foot of sea cucumber.</p

Identification of expressed <i>Wnt</i> genes containing SNPs.

<p>Identification of expressed <i>Wnt</i> genes containing SNPs.</p

Summary of the small RNA transcriptome sequencing of the <i>A. japonicus</i> tube foot.

<p>Summary of the small RNA transcriptome sequencing of the <i>A. japonicus</i> tube foot.</p

Quantitative realtime PCR analysis of the expression of 15 selected predicted target genes in different tissues of sea cucumber.

<p>The tissues are abbreviated as follows: TF, tube foot; I, intestine; RT, respiratory tree, and C, coelomocytes. Bars are shown as mean ± standard deviation. Bars with different superscripts indicate that they are significantly different from each other (<i>p</i><0.05).</p