IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v6y2021i4id51040.html

Performance Analysis of Investment Portfolio Strategy Using Warren Buffett, Benjamin Graham, and Peter Lynch Method in Indonesia Stock Exchange

Author

Listed:
  • Ganda Hengky Wirawan

    (School of Business and Management ITB, Indonesia)

  • Erman Sumirat

    (School of Business and Management ITB, Indonesia)

Abstract

Warren Buffett, Benjamin Graham, and Peter Lynch are three (3) famous investors’ gurus in the world that have already proved that they can outperform the market by value investing method. Method that they are using are based on fundamental analysis and they screen the company’s stock based on several key financial ratios and criteria that they found important in analyzing the company. In this project, Author conducted research and study to find out the applicability of the screening method made by the gurus in Indonesia Stock Exchange (IDX) using equally weighted method, back testing it in May 2012 until December 2020 periods, and evaluate the performance of each type of portfolios made using Sharpe ratio, Treynor ratio, and Jensen’s alpha. The result of this project is all type of these portfolios are having positive risk adjusted returns. Peter Lynch type of portfolio is having the highest annualized return 24.04 % or 613 % cumulative return, while Warren Buffett and Benjamin Graham are having annualized returns 9.42 % (or cumulative return 216.48%) and 8.3 % (or cumulative return 198.27%) respectively. Moreover, Author found that those three types of portfolios are having beta (β) nearly the same with one (1) means that the portfolios are having same risk with its systematic (market) risk.

Suggested Citation

  • Ganda Hengky Wirawan & Erman Sumirat, 2021. "Performance Analysis of Investment Portfolio Strategy Using Warren Buffett, Benjamin Graham, and Peter Lynch Method in Indonesia Stock Exchange," European Journal of Business and Management Research, European Open Science, vol. 6(4), pages 394-401, July.
  • Handle: RePEc:epw:ejbmr0:v:6:y:2021:i:4:id:51040
    DOI: 10.24018/ejbmr.2021.6.4.1040
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/51040
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/51040/7178
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2021.6.4.1040?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
    ---><---

    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:epw:ejbmr0:v:6:y:2021:i:4:id:51040. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.