IDEAS home Printed from https://ideas.repec.org/a/igg/jsesd0/v12y2021i2p48-62.html
   My bibliography  Save this article

Risk Optimisation Analytics: A Case Study on Brown Research Associates India (BRAI)

Author

Listed:
  • Puneet Kumar

    (Xavier Institute of Management and Entrepreneurship (XIME), Bangalore, India)

  • Amalanathan Paul

    (Faculty of Management, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India)

  • M. Anil Kumar

    (School of Management Studies, Chaitanya Bharathi Institute of Technology, Hyderabad, India)

Abstract

Risk optimization using business analytics is gaining momentum in India over the last decade. In order to tap this huge opportunity, most of the startups are getting into the analytics field engaging in financial market survey to provide their customers with valid data. The objective of this study is to help “Sai Builders” in solving their portfolio investment problem as well as sinking funds problem using linear programming and to obtain the total optimum returns by satisfying all constraints. The authors solve the problem of minimizing portfolio risk measures. In addition, the expected return of the portfolio is maximized subject to the aforementioned risk measures. By using numerical experiments, they illustrate the impact of these risk measures on portfolio optimization. The analysis is done by using Excel Solver, and the optimum solution is achieved.

Suggested Citation

  • Puneet Kumar & Amalanathan Paul & M. Anil Kumar, 2021. "Risk Optimisation Analytics: A Case Study on Brown Research Associates India (BRAI)," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 12(2), pages 48-62, April.
  • Handle: RePEc:igg:jsesd0:v:12:y:2021:i:2:p:48-62
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSESD.2021040103
    Download Restriction: no
    ---><---

    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:igg:jsesd0:v:12:y:2021:i:2:p:48-62. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.