Portofolio Optimal Currency

Dwi Fitrizal Salim, Sandra Heliola, Ikaputera Waspada

Abstract


Abstract. Currency is the subject of discussion in this study, currency is the object of research in elections by looking at a list of Indonesia's foreign debt and selecting the 5 largest creditor countries to Indonesia. The selected currency that will be measured is the expected return and risk level of each United States Currency (USD), Japan (JPY), China (CHY), Hong Kong (HKD), Singapore (SGD). This study will make a portfolio based on the selected Currency, portfolio theory was first introduced by the Nobel winner in the field of Finance, Markowitz 1952, after which many studies examined portfolios that combine several physical assets, stocks, bonds, and research to create a portfolio based on Currency. The results show that the highest expected return currency USD is 22.1%, with a risk level of 2.26%, then Japan (JPY) has the highest level of currency risk, which is 5.40%. Based on the Sharpe USD currency performance test the best results with a value of 9.7, because the expected return obtained is highest when compared to other currencies. For investors themselves, they can refer to the results of this study to each of the USD, JPY, CHY, SGD, and HKD currencies with a proportion of 20% so that they will get an average expected return of 16.9%, with an average level of risk 2 , 73%.

 

Abstrak. Currency menjadi pokok pembahasan di penelitian ini, currency dijadikan objek penelitian dalam pemilihan dengan melihat list dari utang luar negeri Indonesia dan memilih 5 negara kreditur yang paling besar kepada Indonesia. Currency yang terpilih yang akan di ukur tingkat expected return dan risiko dari masing-masing Currency Amerika Serikat (USD), Jepang (JPY), China (CHY), Hongkong (HKD), Singapura (SGD). Penelitian ini akan membuat sebuah portofolio berdasarkan Currency yang dipilih, teori portofolio pertama kali diperkenalkan oleh pemenang nobel dibidang Finance yaitu Markowitz 1952, setelah itu banyak penelitian yang meneliti portofolio ada yang menggabungkan beberapa aset fisik, saham, obligasi, dan penelitian ini ingin membuat sebuah portofolio berdasarkan Currency. Hasil yang didapatkan bahwa expected return currency USD yang paling tinggi sebesar 22.1%, dengan tingkat risiko 2,26%, lalu Jepang (JPY) memiliki tingkat risiko currency yang paling tinggi yaitu sebesar 5,40%. Berdasarkan uji kinerja Sharpe currency USD memiliki hasil yang terbaik dengan nilai 9,7, dikarenakan expected return yang didapatkan paling tinggi jika dibandingkan currency lainnya. Untuk investor sendiri bisa mempedomani hasil dari penelitian ini kepada masing-masing mata uang USD,JPY,CHY,SGD, dan HKD dengan proporsi 20% maka akan mendapatkan rata-rata expected return sebesar 16,9%, dengan rata-rata tingkat risiko 2,73%.


Keywords


Currency; Portofolio.

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References


Ariany, Farida., Heri Kuswanto dan Suhartono. 2012. Estimasi Value at Risk pada Portofolio Nilai Tukar Mata Uang dengan Pendekatan Copula. JURNAL SAINS DAN SENI ITS. Vol. 1, No. 1, (Sept. 2012) ISSN: 2301-928X

Bai, Zhidong, Huixia Liu, Wing-Keung Wong. (2009). On the Markowitz mean–variance analysis of self-financing portfolios. Jurnal Risk and Decision Analysis 1 (2009) 35–42.

Biglova, Almira., Sergio Ortobelli, Svetlozar Rachev, and Stoyan Stoyanov. (2004). Different Approaches to Risk Estimation in Portfolio Theory. The Journal of Portfolio Management.

Barroso P, Santa-Clara P. Beyond the carry trade: optimal currency portfolios. J Quant Financ Anal. 50(5):1037–56.

Chandrinos, Spyros K, Nikos D. Lagaros. 2018. Construction of currency portfolios by means of an optimized investment strategy. / Operations Research Perspectives 5 (2018) 32–44. https://doi.org/10.1016/j.orp.2018.01.001

Cazalet, Zélia., Pierre Grison., And Thierry Roncalli. 2014. “The Smart Beta Indexing Puzzle.” THE JOURNAL OF INDEX INVESTING, 2014: 97-119.

Devi, Kadek Frisca Ayu., Komang Dharmawan., And Ni Made Asih. (2013). Analisis Portofolio Saham Lq45 Menggunakan Fungsi Utilitas Kuadratik. e-Jurnal Matematika. Vol. 2, No. 1, Januari 2013, 33-36.

Fitriaty., Tona Aurora Lubis., and Pungki Rekno Asih.(2014). Analisis Kinerja Portofolio Optimal Pada Saham-Saham Jakarta Islamic Index (Jii) Periode 2010 – 2012. Jurnal Mankeu.

Foltice B, Langer T. 2015. Profitable momentum trading strategies for individual investors. Financ Markets Portfolio Manag. 29:85–113.

Hendrawan, Riko dan Dwi Fitrizal Salim 2017. Optimizing Active and Passive Stocks Portfolio Formed Tobin’s Q and Price Earning Ratio Model Stocks on Kompas Index-100 Period 2012-2017. Internasional Jurnal of Applied Busisness and Economic Reseach . (ISSN: 0972-7302).

Hidayat, Firman dan Riko Hendrawan 2017. Performance Comparison Simulation of the Stock Portfolio Active and Passive Strategy Formed with Price Earnings Ratio, Price Book Value, and Price Earning Growth Ratio Stocks on LQ-45 Index Period 2011- 2016. Jurnal Internasional Journal of Economi Perspectives . (ISSN: 1307-1637)

Husnan, Suad. 2015. Dasar-dasar Teori Portofolio & Analisis Sekuritas. Edisi ke 5. Yogyakarta. UPP STIM YKPN.

Jorion, Philippe. (2003). Portfolio Optimization with Tracking-Error Constraints. Financial Analysts Journal.

Kelly JL. 1956. A new interpretation of information rate. Bell Syst Tech J. 35:917–26.

Markowitz, Harry 1952. Portofolio Selection. The Jurnal of Finance. Vol 7 no 1.

Paudel, Rajan Bahadur., Sujan Koirala. “Application of Markowitz and Sharpe Models in Nepalese Stock.” Journal of Nepalese Business Studies, Vol 3 No1 https://doi.org/10.3126/jnbs.v3i1.480.

Prabowo, Hartiwi. 2013. Analisis Portofolio Saham Dengan Metode Capm Dan Markowitz. Jurnal Binus Business Review. Vol. 4 No. 1 Mei 2013: 360-369

Rizal, Nora Amelda., Budhi Arta Surya., Sudarso Kaderi Wiryono. (2014). Optimal Portfolio in Discrete-Time under HARA Utility Function. International Symposium on Technology Management and Emerging Technologies. (ISTMET 2014), May 27 - 29, 2014, Bandung, Indonesia

Rizal, Nora Amelda., Sudarso Kaderi Wiryono., Ahmad Danu Prasetyo. 2018. OPTIMAL ASSETS ALLOCATION FOR RISK AVERSE INVESTOR UNDER MARKET RISKS AND CREDIT RISK. International Journal of Business and Society. Vol. 19 No.1, 2018, 245-258

Salim, Dwi Fitrizal. 2019. Perancangan Portofolio Optimal Dengan Mengunakan Return On Assets, Return On Equity Dan Economic Value Added Pada Indeks Jakarta Ismaic Index Periode 2014-2018. JURNAL RISET AKUNTANSI DAN KEUANGAN, 7 (1), 2019, 43-54.

Sharpe, W.F. 1964. “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.” Journal of Finance, .: 425-442.

Sharpe, W., Alexander, G. dan Bailey, J. (2005). Investasi. Edisi keenam. Jakarta: Indeks, 84 Prentice Hall, Inc.

Simsek A. 2013. Speculation and risk sharing with new financial assets. Q J Econ .128(3):1365–96.

Tian X, Quan C, Zhang J, Cai HJ. 2012. Optimization of intraday trading strategy based on ACD rules and pivot point system in Chinese market. J Intell Learn Syst Appl.. ;4:279–84.

Uyar, Umut., and Sinem Güler Kangalli. 2012. Trade Volume Constraint on Optimal Portfolio Preference Based on Markowitz Model. Jurnal Ege Academic Review.

Yunita, Irni.(2018). Markowitz Model Dalam Pembentukan Portofolio Optimal (Studi Kasus Pada Jakarta Islamic Index. Jurnal Manajemen Indonesia (Vol.18 No.1 April 2018)


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