IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05689508.html

Pragmatic Approach to Constructing Optimal Portfolio: Application of Sharpe’s Single Index Model on Nifty 50

Author

Listed:
  • R.R Abhijith

    (CET School of Management, College of Engineering, Trivandrum, India.)

  • K.S Syama

    (CET School of Management, College of Engineering, Trivandrum, India.)

Abstract

This study examines the practical application of Sharpe's Single Index Model in constructing an optimal portfolio from Nifty 50 stocks. The study used secondary stock-market data for Nifty 50 constituent companies for 2019–2024. Return, alpha, beta, variance, systematic risk, unsystematic risk, excess return-to-beta ratio, cut-off rate and portfolio weights were estimated using the model. The Mumbai Inter Bank Offer Rate of 7.225% was used as the risk-free rate for computation. The analysis showed that Adani Enterprises recorded the highest average return of 104.22%, while Eicher Motors recorded the lowest return of -23.04%. Infosys showed the highest alpha of 51.92%, whereas Tata Steel recorded the lowest alpha of -70.43%. The market return of the Nifty 50 index during the study period was 13.66%, and the market variance was 212.46%. Based on the excess return-to-beta ratio and the calculated cut-off point of 13.4097, 12 stocks were selected for inclusion in the optimal portfolio: Hero MotoCorp, Tata Consumer Products, BPCL, Divi's Laboratories, Cipla, Eicher Motors, Bajaj Auto, SBI Life Insurance, Asian Paints, Adani Enterprises, Titan and IndusInd Bank. Tata Consumer Products received the highest portfolio allocation of 29.38%, while IndusInd Bank received the lowest allocation of 0.24%. The constructed portfolio produced an expected return of 18.57%, a portfolio beta of 0.3768, alpha of 13.42%, unsystematic risk of 101.52%, systematic risk of 30.16% and total risk of 131.68%. The findings indicate that Sharpe's Single Index Model provides a structured method for selecting securities and allocating portfolio weights; however, the results should be interpreted within the assumptions and limitations of the model.

Suggested Citation

  • R.R Abhijith & K.S Syama, 2026. "Pragmatic Approach to Constructing Optimal Portfolio: Application of Sharpe’s Single Index Model on Nifty 50," Post-Print hal-05689508, HAL.
  • Handle: RePEc:hal:journl:hal-05689508
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:hal:journl:hal-05689508. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.