IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v20y2019i5d10.1057_s41260-019-00132-6.html
   My bibliography  Save this article

Sensitivity of optimal portfolio problems to time-varying parameters: simulation analysis

Author

Listed:
  • Zhanar Bimurat

    (Kazakh National Technical University)

  • Darkhan U. Abdibekov

    (Kazakh National Technical University)

  • Dulat N. Shukayev

    (Kazakh National Technical University)

  • Yekaterina R. Kim

    (Turan University)

  • Malik D. Shukayev

    (University of Alberta)

Abstract

This article proposes a simulation-based approach to find the optimal values of discretionary parameters in portfolio optimization problems. An algorithm is developed for finding jointly optimal values of required expected returns and of diversification restrictions.

Suggested Citation

  • Zhanar Bimurat & Darkhan U. Abdibekov & Dulat N. Shukayev & Yekaterina R. Kim & Malik D. Shukayev, 2019. "Sensitivity of optimal portfolio problems to time-varying parameters: simulation analysis," Journal of Asset Management, Palgrave Macmillan, vol. 20(5), pages 395-402, September.
  • Handle: RePEc:pal:assmgt:v:20:y:2019:i:5:d:10.1057_s41260-019-00132-6
    DOI: 10.1057/s41260-019-00132-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-019-00132-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41260-019-00132-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Weikard, Hans-Peter & Seyhan, Demet, 2009. "Distribution of phosphorus resources between rich and poor countries: The effect of recycling," Ecological Economics, Elsevier, vol. 68(6), pages 1749-1755, April.
    2. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hannart, Alexis & Naveau, Philippe, 2014. "Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 149-162.
    2. Hanke, Michael & Stöckl, Sebastian & Weissensteiner, Alex, 2020. "Political event portfolios," Journal of Banking & Finance, Elsevier, vol. 118(C).
    3. Seyhan, Demet & Weikard, Hans-Peter & van Ierland, Ekko, 2012. "An economic model of long-term phosphorus extraction and recycling," Resources, Conservation & Recycling, Elsevier, vol. 61(C), pages 103-108.
    4. repec:ers:journl:v:xxiv:y:2021:i:4:p:370-395 is not listed on IDEAS
    5. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
    6. Dimson, Elroy & Marsh, Paul, 1997. "Stress tests of capital requirements," Journal of Banking & Finance, Elsevier, vol. 21(11-12), pages 1515-1546, December.
    7. Martin, Will, 2021. "Tools for measuring the full impacts of agricultural interventions," IFPRI-MCC technical papers 2, International Food Policy Research Institute (IFPRI).
    8. S. Saravanakumar & S. Gunasekaran & R. Aarthy, 2011. "Investors Attitude towards Risk and Return Content in Equity and Derivatives," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 2(2), pages 01-11, March.
    9. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    10. Božović, Miloš, 2023. "Can a dynamic correlation factor improve the pricing of industry portfolios?," Finance Research Letters, Elsevier, vol. 53(C).
    11. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2018. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Journal of Asian Economics, Elsevier, vol. 59(C), pages 29-47.
    12. Wang, Christina Dan & Chen, Zhao & Lian, Yimin & Chen, Min, 2022. "Asset selection based on high frequency Sharpe ratio," Journal of Econometrics, Elsevier, vol. 227(1), pages 168-188.
    13. Christian Thimann, 2015. "The Economics of Insurance, its Borders with Finance and Implications for Systemic Regulation," CESifo Working Paper Series 5207, CESifo.
    14. Bartłomiej Lisicki, 2023. "Sektorowe zróżnicowanie efektu interwału akcji spółek z GPW w dobie pandemii COVID-19," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 174-194.
    15. Kajtazi, Anton & Moro, Andrea, 2019. "The role of bitcoin in well diversified portfolios: A comparative global study," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 143-157.
    16. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    17. Nicolau, Juan L., 2012. "The effect of winning the 2010 FIFA World Cup on the tourism market value: The Spanish case," Omega, Elsevier, vol. 40(5), pages 503-510.
    18. Fogarty, James Joseph & Sadler, Rohan, 2012. "To Save or Savour: A Review of Wine Investment," Working Papers 139663, University of Western Australia, School of Agricultural and Resource Economics.
    19. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
    20. Stefanescu, Razvan & Dumitriu, Ramona, 2015. "Conţinutul analizei seriilor de timp financiare [The Essentials of the Analysis of Financial Time Series]," MPRA Paper 67175, University Library of Munich, Germany.
    21. J. Christian Ola & Eric Sartell, 2016. "Undercover Boss: Stripping Away the Disguise to Analyze the Financial Performance of Participating Firm," Business, Management and Economics Research, Academic Research Publishing Group, vol. 2(12), pages 186-192, 12-2016.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:assmgt:v:20:y:2019:i:5:d:10.1057_s41260-019-00132-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.