Show simple item record

dc.contributor.authorIsmanto, Hadi
dc.date.accessioned2016-02-24T14:56:26Z
dc.date.available2016-02-24T14:56:26Z
dc.date.issued2016-02-13
dc.identifier.citationBest, P.W.(1998), Implementing Value at Risk, West Sussex: John Wiley & Sons Inc Campbell, R., Huisman, R. and Koedijk, K. (2000), Optimal Portfolio Selection in a Value at Risk Framework, Journal of Banking and Finance, (July) Cooper, D.R. and Schindler, P.S., (2003), Business Research Methods, New York: McGraw Hill. Ghozali, I. (2007), Manajemen Risiko Perbankan; Pendekatan Kauntitatif Value at Risk (VaR), Badan Penerbit Universitas Diponegoro, Semarang. Gourieroux.C, J.P. Laurent, dan O. Scaillet c (2000) Sensitivity analysis of Values at Risk, Journal of Empirical Finance 7 _2000. 225–245 http://www.idx.co.id/Home/MarketInformatio n/ListOfSecurities/IndexConstituent/tabi d/109/language/id-ID/Default.aspx Husnan, S., (2003), Dasar-Dasar Teori Portofolio dan Analisis Sekuritas, Edisi Ketiga, UPP AMP YKPN, Yogyakarta Jin C. and and Alan J. Ziobrowski, (2011), Using Value-at-Risk to Estimate Downside Residential Market Risk, JRER Vol.33 No.3. Jogiyanto, H.M.(2000), Teori Portofolio dan Analisis Investasi, Edisi Kedua, BPFE, Yogyakarta Jones, C.P. (2004), Investments: Analysis and Management, ninth edition, John Wiley and Sons, Inc., New York. Jorion, P. (2002), Value at Risk: The New Benchmark for Managing Financial Risk, 2 nd ed., Boston: McGraw-Hill Markowitz, H.(1952), Portfolio Selection, Journal of Finance, Vol . VI I, No. 1. pp 77- 91 Penza, P.and Banzal, V.K.(2001), Measuring Market Risk with Value at Risk, Canada: John Wiley & Sons Inc Rizki, L.T., (2008), Optimasi Risk-Return Portofolio Investasi Instrumen Saham, Obligasi, Emas, Valas Dan Deposito Menggunakan Metode Markowitz dan Value-At-Risk, Tesisi Magister Manajemen, FE UI, Jakarta Rockafellar R. Tyrrell and Stanislav Uryasev, (1999), Optimization of Conditional Value-at-Risk, Stanislav Uryasev Sartono, R. A, (2001), Manajemen Keuangan, Teori dan Aplikasi, edisi ke empat, BPFE, Yogyakarta. Sofiana, N., (2011), Pengukuran Value At Risk Pada Portofolio Dengan Simulasi Monte Carlo (Studi Kasus: Harga Penutupan Saham Harian PT. Telekomunikasi Indonesia Tbk dan PT. Unilever Indonesia Tbk Bulan Januari Desember 2010), Skripsi Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Yogyakarta Sunarwatiningsih, A.,, (2010), Pengukuran Risiko Dengan Value At Risk Pada Retensi Optimal Untuk Reasuransi Stop Loss, Skripsi Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Diponegoro, Semarang. Tambuse,M., (2007), Analisis Risiko Pada Transaksi Pasar Uang Dengan Metode Value At Risk (Var)-Historical Method, Skripsi Fakultas Matematika Dan Ilmu Pengetahuan Alam (Fmipa) Universitas Sumatera Utara Medan, September 2007 Tandeliling, E. (2001), Analisis Investasi dan Manajemen Portofolio, BPFE, Yogyakarta. Wang, J. (2000), Mean-Variance-VaR Based Portfolio Optimization, Department of Mathematics and Computer Science Valdosta State University (October)in_ID
dc.identifier.issn2407-9189
dc.identifier.urihttp://hdl.handle.net/11617/6737
dc.description.abstractInvestment in the stock market should be able to understand the risks involved, because the investment will be dealing with the future contain uncertainties. The need for reliable risk measures strengthened. Growth in trading activity and market increasingly erratic make market participants feel the need to develop techniques of risk measurement more accurate and reliable. One such risk measurement techniques are Value at Risk (VaR). Value at Risk (VaR) is the market risk calculation methods for determining the risk of maximum loss that can occur in a portfolio, both singleinstrument and multi-instruments, in particular the confidence level, over a certain holding period, and in normal market conditions. This study uses secondary data in the form of shares listed in the Indonesia Stock Exchange and is included in the LQ45 index. The sample selection using purposive sampling, samples obtained are 15 companies. Processing of the data in this study using the assistance of a Microsoft Excel program for the measurement of Value at Risk on a portfolio by using Monte Carlo simulation. The results showed a larger return will provide a greater degree of risk as well, as seen from the value of returns and the VaR of each portfolio. Where the portfolio one has a larger return than the second portfolio, and portfolio one also have the level of risk that is greater than the second portfolio. In accordance with the statement in the investment "the higher the profits the higher the risk faced".in_ID
dc.language.isoidin_ID
dc.publisherSTIKES MUHAMMADIYAH KUDUSin_ID
dc.subjectVARin_ID
dc.subjectRiskin_ID
dc.subjectInvestmentin_ID
dc.titleAnalisis Value at Risk dalam Pembentukan Portofolio Optimal (Studi Empiris pada Saham-Saham yang Tergabung Dalam LQ45)in_ID
dc.typeArticlein_ID


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record