IDEAS home Printed from https://ideas.repec.org/a/taf/jsustf/v6y2016i3p151-160.html
   My bibliography  Save this article

The construction of an investment portfolio using stochastic programming

Author

Listed:
  • Audrius Kabašinskas
  • Lina Kadikinaitė

Abstract

The aim of this paper is to construct a portfolio of eight different stocks from New York Stock Exchange market (AIR, ABM, TSCO, HLX, KO, DIS, AMZN, and VZ) using stochastic programming. The next stage (period) prices are generated using a stochastic difference equation in order to introduce uncertainty. For the portfolio selection, we use three different risk measures – min–max decision rule, value-at-risk, and conditional value-at-risk. After constructing three different portfolios, they are compared using well-known efficiency ratios – Sharpe, Sortino, and Rachev ratios.

Suggested Citation

  • Audrius Kabašinskas & Lina Kadikinaitė, 2016. "The construction of an investment portfolio using stochastic programming," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 6(3), pages 151-160, July.
  • Handle: RePEc:taf:jsustf:v:6:y:2016:i:3:p:151-160
    DOI: 10.1080/20430795.2016.1188538
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20430795.2016.1188538
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20430795.2016.1188538?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. Cho, Young-Hyun & Linton, Oliver & Whang, Yoon-Jae, 2007. "Are there Monday effects in stock returns: A stochastic dominance approach," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 736-755, December.
    2. Sortino, Frank A., 2009. "The Sortino Framework for Constructing Portfolios," Elsevier Monographs, Elsevier, edition 1, number 9780123749925.
    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. Chuan-Hao Hsu & Hung-Gay Fung & Yi-Ping Chang, 2016. "The performance of Taiwanese firms after a share repurchase announcement," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1251-1269, November.
    2. Charles, Amélie, 2010. "The day-of-the-week effects on the volatility: The role of the asymmetry," European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
    3. José Luis Miralles-Quirós & María Mar Miralles-Quirós & José Manuel Nogueira, 2020. "Sustainable Development Goals and Investment Strategies: The Profitability of Using Five-Factor Fama-French Alphas," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    4. Marshall, Ben R. & Nguyen, Hung T. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat & Young, Martin, 2021. "Do climate risks matter for green investment?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    5. Kim Chang Sik, 2009. "Test for Spatial Dominances in the Distribution of Stock Returns: Evidence from the Korean Stock Market Before and After the East Asian Financial Crisis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(4), pages 1-27, September.
    6. Ülkü, Numan & Rogers, Madeline, 2018. "Who drives the Monday effect?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 46-65.
    7. Kumar, Satish, 2016. "Revisiting calendar anomalies: Three decades of multicurrency evidence," Journal of Economics and Business, Elsevier, vol. 86(C), pages 16-32.
    8. Al-Khazali, Osamah, 2014. "Revisiting fast profit investor sentiment and stock returns during Ramadan," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 158-170.
    9. Sheng-Ping Yang & Thanh Nguyen, 2019. "Skewness Preference and Asset Pricing: Evidence from the Japanese Stock Market," JRFM, MDPI, vol. 12(3), pages 1-10, September.
    10. Sungro Lee, Chang Sik Kim, In-Moo Kim & Chang Sik Kim & In-Moo Kim, 2012. "Testing the Monday Effect using High-frequency Intraday Returns: A Spatial Dominance Approach," Korean Economic Review, Korean Economic Association, vol. 28, pages 69-90.
    11. Ali CELÝK, 2021. "Volatility of BIST 100 Returns After 2020, Calendar Anomalies and COVID-19 Effect," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 15(1), pages 61-81.
    12. Jeffrey E. Jarrett, 2008. "Predicting Daily Stock Returns: A Lengthy Study of the Hong Kong and Tokyo Stock Exchanges," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 7(1), pages 37-51, April.
    13. Kollias Christos & Papadamou Stephanos & Psarianos Iacovos, 2014. "Rogue State Behavior and Markets: the Financial Fallout of North Korean Nuclear Tests," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 20(2), pages 267-292, April.
    14. Linton, Oliver & Wu, Jianbin, 2020. "A coupled component DCS-EGARCH model for intraday and overnight volatility," Journal of Econometrics, Elsevier, vol. 217(1), pages 176-201.
    15. Scherf, Matthias & Matschke, Xenia & Rieger, Marc Oliver, 2022. "Stock market reactions to COVID-19 lockdown: A global analysis," Finance Research Letters, Elsevier, vol. 45(C).
    16. Olfa Chaouachi & Imen Dhaou, 2020. "The Day of the Week Effect: Unconditional and Conditional Market Risk Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 94-98.
    17. José Luis Miralles-Quirós & María Mar Miralles-Quirós, 2020. "Who Knocks on the Door of Portfolio Performance Heaven: Sinner or Saint Investors?," Mathematics, MDPI, vol. 8(11), pages 1-18, November.
    18. Robert Elliott & Ying Zhou, 2013. "State-owned Enterprises, Exporting and Productivity in China: A Stochastic Dominance Approach," The World Economy, Wiley Blackwell, vol. 36(8), pages 1000-1028, August.
    19. Julia Anna Bingler & Chiara Colesanti Senni, 2020. "Taming the Green Swan: How to improve climate-related financial risk assessments," CER-ETH Economics working paper series 20/340, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    20. Chatzitzisi, Evanthia & Fountas, Stilianos & Panagiotidis, Theodore, 2021. "Another look at calendar anomalies," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 823-840.

    More about this item

    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:taf:jsustf:v:6:y:2016:i:3:p:151-160. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSFI20 .

    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.