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Quadratic Investment Portfolio Based on Value-at-risk with Risk-Free Assets: For Stocks of the Mining and Energy Sector

Author

Listed:
  • Naomi Pandiangan

    (Master s Program in Mathematics, Universitas Padjadjaran, Bandung, Indonesia,)

  • Sukono Sukono

    (Department of Mathematics, Universitas Padjadjaran, Bandung 40132, Indonesia.)

  • Endang Soeryana Hasbullah

    (Department of Mathematics, Universitas Padjadjaran, Bandung 40132, Indonesia.)

Abstract

The mining and energy sector is still the driving force for economic development and community empowerment, especially around mining and energy activities. Therefore, increased investment in the mining and energy sectors needs to be increased and balanced with stricter safety and environmental policies. This paper aims to formulate a quadratic investment portfolio optimization model, and apply it to several stocks in the mining and energy sectors. In this paper, it is assumed that risk is measured using Value-at-Risk (VaR), so that the optimization modeling is carried out using the quadratic investment portfolio approach to the Mean-VaR model with risk-free assets. Furthermore, the model is used to determine the efficient portfolio surface based on several values of risk aversion levels. Based on the results of the analysis, it is found that an efficient portfolio surface has a minimum portfolio return value with an average of 0.766522 and a VaR risk of 0.038687. In addition, the results of the analysis can be concluded that the greater the level of risk aversion, the smaller the VaR value, which is followed by the smaller the portfolio average value.

Suggested Citation

  • Naomi Pandiangan & Sukono Sukono & Endang Soeryana Hasbullah, 2021. "Quadratic Investment Portfolio Based on Value-at-risk with Risk-Free Assets: For Stocks of the Mining and Energy Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 175-184.
  • Handle: RePEc:eco:journ2:2021-04-22
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    References listed on IDEAS

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    1. Deller, Stephen & Schreiber, Andrew, 2012. "Mining and Community Economic Growth," The Review of Regional Studies, Southern Regional Science Association, vol. 42(2), pages 121-141, Summer.
    2. Lwin, Khin T. & Qu, Rong & MacCarthy, Bart L., 2017. "Mean-VaR portfolio optimization: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 260(2), pages 751-766.
    3. Onder Buberkoku, 2019. "Do Long-memory GARCH-type-Value-at-Risk Models Outperform None-and Semi-parametric Value-at-Risk Models?," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 199-215.
    4. Adedoyin Isola Lawal & Samuel Olatunde Dahunsi & Abiola Ayopo Babajide & Abiola John Asaleye & Joseph Ojo Iseolorunkanmi & Henry Inegbedion & Charles O. Manasseh & Bukola, B. Lawal-Adedoyin, 2020. "Examining the Effects of Oil Price Long Memory and Exchange Rate Long Memory on Stock Market Behavior in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 430-436.
    5. Séverine Plunus & Roland Gillet & Georges Hübner, 2015. "Equivalent Risky Allocation: The New ERA of Risk Measurement for Heterogeneous Investors," Post-Print hal-03712698, HAL.
    6. Liya R. Artemkina & Natalya Y. Sopilko & Olga Y. Myasnikova & Irina U. Eremina & Nataliya V. Bondarchuk & Sergey V. Shamsheev, 2019. "The Model of Upstream Investment Portfolio in the Mature Regions," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 173-180.
    7. John H. Cochrane, 2014. "A Mean-Variance Benchmark for Intertemporal Portfolio Theory," Journal of Finance, American Finance Association, vol. 69(1), pages 1-49, February.
    8. Hamid Ahmadi & Danusorn Sitdhirasdr, 2016. "Portfolio Optimization is One Multiplication, the Rest is Arithmetic," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(1), pages 1-5.
    9. Priscilla Serwaa Nkyira Gambrah & Traian Adrian Pirvu, 2014. "Risk Measures and Portfolio Optimization," JRFM, MDPI, vol. 7(3), pages 1-17, September.
    10. Ye Wang & Yanju Chen & YanKui Liu, 2016. "Modeling Portfolio Optimization Problem by Probability-Credibility Equilibrium Risk Criterion," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-13, March.
    11. Ikhlaas Gurrib & Elgilani Elsharief & Firuz Kamalov, 2020. "The Effect of Energy Cryptos on Efficient Portfolios of Key Energy Listed Companies in the S&P Composite 1500 Energy Index," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 179-193.
    12. Alexander, S. & Coleman, T.F. & Li, Y., 2006. "Minimizing CVaR and VaR for a portfolio of derivatives," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 583-605, February.
    13. Qin, Zhongfeng, 2015. "Mean-variance model for portfolio optimization problem in the simultaneous presence of random and uncertain returns," European Journal of Operational Research, Elsevier, vol. 245(2), pages 480-488.
    14. B nyamin Er & Yusuf Guneysu & H seyin nal, 2018. "Financing Renewable Energy Projects: An Empirical Analysis for Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 180-185.
    15. Goh, Joel Weiqiang & Lim, Kian Guan & Sim, Melvyn & Zhang, Weina, 2012. "Portfolio value-at-risk optimization for asymmetrically distributed asset returns," European Journal of Operational Research, Elsevier, vol. 221(2), pages 397-406.
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    More about this item

    Keywords

    Mining and energy sector; risk free assets; investment; Value-at-Risk; portfolio optimization.;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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