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The Review of Sovereign Wealth Fund and Portfolio in Indonesia

Received: 28 May 2021     Accepted: 4 September 2021     Published: 12 October 2021
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Abstract

This article is a literature study of the Sovereign Wealth Fund as a large fund owner and an investor in various destination countries. SWF is the target of countries and companies that want fresh funds as capital inflow to finance their activities, both as direct investors and buyers of bonds and stocks. SWF has become an important investor and as a holder of various portfolios it aims to obtain optimal returns with minimal risk, including the placement strategy of Sovereign Wealth Fund as part of a hedge against the economic risks of the countries holding SWF funds. The Sovereign Wealth Fund's largest strategic asset allocation shows that it is broadly consistent with that generated by the Markowitz model. Investment performance and company performance as well as the policies of the SWF destination countries are the main factors in the placement of funds. The choice of investment is very dependent on the assets associated with the asset class, risk tolerance and the strategy mandated to achieve the stated portfolio goals. Includes proper asset weight balancing that allows for higher returns and long-term achievement of investment objectives.

Published in Journal of Business and Economic Development (Volume 6, Issue 4)
DOI 10.11648/j.jbed.20210604.11
Page(s) 196-201
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

SWF, Portofolio, Returned, Risk, Strategy

References
[1] Reddy, K. S, 2019, “Pot the ball? Sovereign Wealth Funds’ outward FDI in times of global financial market turbulence: A yield institutions-based view”, Central Bank Review, doi.org/10.1016/j.cbrev.2019.08.003.
[2] Yu Jing, Xu Bin, Yang Haizhen, Shi Yong, 2010, “The strategic asset allocation optimization model of sovereign wealth funds based on maximum CRRA utility & minimum VAR”, Procedia Computer Science, Volume 1, Issue 1, Pages 2433-2440, ISSN 1877-0509, doi: 10.1016/j.procs.2010.04.274.
[3] Papaioannou. M. G and Bentsendorj. B, 2015, “Sovereign Wealth Fund Asset Allocations— some stylized facts on the Norway Pension Fund Global”, Procedia Economies and Finance, DOI: 10.1016/S2212-5671(15)01122-3.
[4] Sunariyah, 2004, Pengantar Pengetahuan Pasar Modal. Edisi Kelima. Bandung: EV Alfabeta.
[5] Jogiyanto, Hartono. (2010). Teori Portofolio dan Analisis Investasi. Yogyakarta: BPFE Yogyakarta.
[6] Gitman, Lawranee J. dan D. Joehnk, Miehael, 2005, fundamental of investment, 9th edition, Pearson.
[7] Salvatore, 1997, Ekonomi Internasional, Jakarta: Erlangga.
[8] Baines Darrin, Disegna Marta, Hartwell A. Christopher, 2021, Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure, Social Science & Medicine, 276 113830.
[9] Ashrafi Hedieh, Thiele E. Aur´elie, 2021, “A study of robust portfolio optimization with European options using polyhedral uncertainty sets”, Operations Research Perspectives, doi.org/10.1016/j.orp.2021.100178.
[10] Riesenera Michael, Dölle Christian, Dierkes Christopher, Jank Merle-Hendrikje, 2020, “Applying Supervised and Reinforcement Learning to Design Product Portfolios in Accordance with Corporate Goals”, Procedia CIRP, volume 91, doi.org/10.1016/j.proeir.2020.02.157.
[11] Nie li Guang, Yang Haizhen, Yang Ying, Ehen Wenjing, Yu Jing, 2012, “Decision support for target country selection of future generation Sovereign Wealth Funds: hedging the country industry risk”, Procedia Computer Science, Vol. 1, doi.org/10.1016/j.proes.2010.04.282.
[12] Diaz Rafael, Smith Katherine, Landaeta Rafael, Padovano Antonio, 2020, Shipbuilding Supply Chain Framework and Digital Transformation: A Project Portfolios Risk Evaluation, Procedia Manufacturing, DOI: 10.1016/j.promfg.2020.02.067.
[13] Wang Zhi, Zhang Xuan, Zhang ZheKai, Sheng Dachen, 2021, “Credit portfolio optimization: A multi-objective genetic algorithm approach”, Borsa Istanbul Review, doi.org/10.1016/j.bir.2021.01.004.
[14] Liesiö Juuso, Salo Ahti, Keisler M Jeffrey, Morton Alec, 2020, “Portfolio decision analysis: Recent developments and future prospects”, European Journal of Operational Research, doi.org/10.1016/j.ejor.2020.12.015.
[15] Poledna Sebastian, Jaramillo M Serafín, Caccioli Fabio, Thurner Stefan, 2020, “Quantification of systemic risk from overlapping portfolios in the financial system”, Journal of Financial Stability, DOI: 10.1016/j.jfs.2020.100808 Corpus ID: 73567209.
[16] Gangi Francesco, Meles Antonio, Mustilli Mario, Graziano Domenico, Varrone Nicola, 2018, “Do investment determinants and effects vary across sovereign wealth fund categories? A firm-level analysis”, Emerging Markets Review, doi.org/10.1016/j.ememar. 2018.12.004.
[17] Qoyum Abdul, Al Hashfi U Rizqi, Zusryn SAlyta, Kusuma Hadri, Qizam Ibnu, 2020, “Does an Islamic-SRI portfolio really matter? Empirical application of valuation models in Indonesia”, Borsa _Istanbul Review, doi.org/10.1016/j.bir.2020.08.002.
[18] Antrettera Torben, Siréna Charlotta, Grichnika Dietmar, Wincenta Joakim, 2020, “Should business angels diversify their investment portfolios to achieve higher performance? The role of knowledge access through co-investment networks”, Journal of Business Venturing, doi.org/10.1016/j.jbusvent.2020.106043.
[19] Chen Li, Zhang Lipei, Huang Jun, Xiao Helu, Zhou Zhongbao, 2021, “Social responsibility portfolio optimization incorporating ESG criteria”, Journal of Management Science
[20] and Engineering, doi.org/10.1016/j.jmse.2021.02.005.
[21] Miao You, Liyan Han, 2011, “Sovereign Wealth Funds in China: The Perspeetive of National Energy Strategy”, Energy Procedia, doi: 10.1016/j.egypro.2011.03.208.
[22] Putra E Yogas, Saepudin Deni, Aditsania Annisa, 2021, “Portfolio Selection of KOMPAS-100 Stocks Index Using B-Spline Based Clustering”, Procedia Computer Science, doi.org/10.1016/j.procs.2021.01.019.
[23] Boubakri Narjess, Cosset C Jean, Grira Jocelyn, 2016, “Sovereign wealth funds targets selection: A comparison with pension funds, Journal of International Financial Markets”, Institutions & Money, dx.doi.org/10.1016/j.intfin.2016.01.004.
[24] Bugan F Mehmet, Cevik I Emrah, Dibooglu Sel, 2021, “Emerging market portfolios and Islamic financial markets: Diversification benefits and safe havens”, Borsa _Istanbul Review, doi.org/10.1016/j.bir.2021.01.007.
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  • APA Style

    Achmad Mamduh. (2021). The Review of Sovereign Wealth Fund and Portfolio in Indonesia. Journal of Business and Economic Development, 6(4), 196-201. https://doi.org/10.11648/j.jbed.20210604.11

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    ACS Style

    Achmad Mamduh. The Review of Sovereign Wealth Fund and Portfolio in Indonesia. J. Bus. Econ. Dev. 2021, 6(4), 196-201. doi: 10.11648/j.jbed.20210604.11

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    AMA Style

    Achmad Mamduh. The Review of Sovereign Wealth Fund and Portfolio in Indonesia. J Bus Econ Dev. 2021;6(4):196-201. doi: 10.11648/j.jbed.20210604.11

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  • @article{10.11648/j.jbed.20210604.11,
      author = {Achmad Mamduh},
      title = {The Review of Sovereign Wealth Fund and Portfolio in Indonesia},
      journal = {Journal of Business and Economic Development},
      volume = {6},
      number = {4},
      pages = {196-201},
      doi = {10.11648/j.jbed.20210604.11},
      url = {https://doi.org/10.11648/j.jbed.20210604.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jbed.20210604.11},
      abstract = {This article is a literature study of the Sovereign Wealth Fund as a large fund owner and an investor in various destination countries. SWF is the target of countries and companies that want fresh funds as capital inflow to finance their activities, both as direct investors and buyers of bonds and stocks. SWF has become an important investor and as a holder of various portfolios it aims to obtain optimal returns with minimal risk, including the placement strategy of Sovereign Wealth Fund as part of a hedge against the economic risks of the countries holding SWF funds. The Sovereign Wealth Fund's largest strategic asset allocation shows that it is broadly consistent with that generated by the Markowitz model. Investment performance and company performance as well as the policies of the SWF destination countries are the main factors in the placement of funds. The choice of investment is very dependent on the assets associated with the asset class, risk tolerance and the strategy mandated to achieve the stated portfolio goals. Includes proper asset weight balancing that allows for higher returns and long-term achievement of investment objectives.},
     year = {2021}
    }
    

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    AB  - This article is a literature study of the Sovereign Wealth Fund as a large fund owner and an investor in various destination countries. SWF is the target of countries and companies that want fresh funds as capital inflow to finance their activities, both as direct investors and buyers of bonds and stocks. SWF has become an important investor and as a holder of various portfolios it aims to obtain optimal returns with minimal risk, including the placement strategy of Sovereign Wealth Fund as part of a hedge against the economic risks of the countries holding SWF funds. The Sovereign Wealth Fund's largest strategic asset allocation shows that it is broadly consistent with that generated by the Markowitz model. Investment performance and company performance as well as the policies of the SWF destination countries are the main factors in the placement of funds. The choice of investment is very dependent on the assets associated with the asset class, risk tolerance and the strategy mandated to achieve the stated portfolio goals. Includes proper asset weight balancing that allows for higher returns and long-term achievement of investment objectives.
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Author Information
  • Post Graduate Programme, Universitas Negeri Malang, Malang, Indonesia

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