IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v69y2019i4p366-383.html
   My bibliography  Save this article

Mean-Variance Portfolio Optimization of Energy Stocks Supported with Second Order Stochastic Dominance Efficiency

Author

Listed:
  • Celal Barkan Guran

    (Istanbul Technical University, Management Engineering Department, Macka, Besiktas, Istanbul, Turkey)

  • Umut Ugurlu

    (Bahcesehir University, Faculty of Economics, Administrative and Social Sciences, Management Department, Besiktas, Istanbul, Turkey)

  • Oktay Tas

    (Istanbul Technical University, Management Engineering Department, Macka, Besiktas, Istanbul, Turkey)

Abstract

Second order stochastic dominance pairwise efficiency could be considered as a milestone among the improvements, which eliminates the shortcomings of mean-variance theory. This paper applies mean-variance optimization on the global fossil fuels stocks, as a leading representative of energy sector, with the help of the pre-elimination of second order stochastic dominance pairwise inefficient stocks. The performance of the application is additionally measured with an out-of-sample back-testing analysis, which indicates a contribution to the existing literature; second order stochastic dominance pre-elimination method increases the success of some of the selected mean-variance optimized portfolios on the efficient frontier which stand out with a better back-testing performance.

Suggested Citation

  • Celal Barkan Guran & Umut Ugurlu & Oktay Tas, 2019. "Mean-Variance Portfolio Optimization of Energy Stocks Supported with Second Order Stochastic Dominance Efficiency," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(4), pages 366-383, August.
  • Handle: RePEc:fau:fauart:v:69:y:2019:i:4:p:366-383
    as

    Download full text from publisher

    File URL: http://journal.fsv.cuni.cz/mag/article/show/id/1442
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vrinda Dhingra & Amita Sharma & Shiv K. Gupta, 2021. "Sectoral portfolio optimization by judicious selection of financial ratios via PCA," Papers 2106.11484, arXiv.org, revised Jan 2023.
    2. Kedžo Margareta Gardijan, 2022. "COVID-19 pandemic impact on investment prospective in selected CEE stock markets: A stochastic dominance approach," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 8(2), pages 28-42, December.

    More about this item

    Keywords

    different return-risk levels; fossil fuels energy stocks; mean-variance portfolio optimization; pairwise efficiency; second order stochastic dominance;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    Statistics

    Access and download statistics

    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:fau:fauart:v:69:y:2019:i:4:p:366-383. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.