IDEAS home Printed from https://ideas.repec.org/a/onl/ijeafm/v10y2025i1p75-85id1663.html
   My bibliography  Save this article

Analyzing sector performance and investment strategies: A decade of FTSE data

Author

Listed:
  • Ritvik Gupta

  • Tharunya Katikireddy

  • Eugene Pinsky

Abstract

Data analysis techniques play a pivotal role in extracting meaningful insights from complex datasets, enabling informed decision-making across industries. In this project, we applied these techniques to analyze a decade of historical data from the FTSE (Financial Times Stock Exchange), a prominent index that tracks the performance of major UK-based companies across key sectors. Focusing on five critical sectors—Finance, Technology, Retail, Healthcare, and Basic Resources—we aimed to identify the most stable and least volatile investment opportunities for investors. By categorizing the sectors into Top 3, Middle 3, and Bottom 3 based on performance, time series analysis was utilized to uncover trends and patterns, testing various investment strategies such as buy-and-hold, Top 4, and equal-weight allocation across multiple frequencies, including yearly, bi-yearly, quarterly, and monthly. Through comprehensive visualizations and statistical analysis, we derived actionable insights to help investors optimize their strategies, minimize risk, and maximize returns in a dynamic market environment.

Suggested Citation

  • Ritvik Gupta & Tharunya Katikireddy & Eugene Pinsky, 2025. "Analyzing sector performance and investment strategies: A decade of FTSE data," International Journal of Economics and Financial Modelling, Online Science Publishing, vol. 10(1), pages 75-85.
    • Handle: RePEc:onl:ijeafm:v:10:y:2025:i:1:p:75-85:id:1663
    as

    Download full text from publisher

    File URL: https://www.onlinesciencepublishing.com/index.php/ijefm/article/view/1663/1720
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:onl:ijeafm:v:10:y:2025:i:1:p:75-85:id:1663. 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: Pacharapa Naka The email address of this maintainer does not seem to be valid anymore. Please ask Pacharapa Naka to update the entry or send us the correct address (email available below). General contact details of provider: https://www.onlinesciencepublishing.com/index.php/ijefm/ .

    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.