IDEAS home Printed from https://ideas.repec.org/a/cud/journ2/v2y2024i4p61-78.html
   My bibliography  Save this article

Econometric analysis of the share premium evolution of Oil and Natural Gas Corporation Limited

Author

Listed:
  • Daniel Casado Ginard

    (Graduado en Derecho y Administración y Dirección de Empresas (“Honours Program”) CUNEF. Madrid. España.)

Abstract

This paper aims to perform a statistical and econometric analysis of the premium evolution of Oil and Natural Gas Corporation Ltd (ONGC). The expected return of ONGC will be shown to be slightly below the market return of NIFTY 50, depicting how ONGC's performance is significantly correlated with and influenced by the overall market. A financial and descriptive analysis will be performed and the CAPM model will be applied, where residuals will be analyzed (showing no serial correlation or heteroskedasticity problems), followed by an intervention analysis. Structural changes and exogenous variables (global oil prices and competitors) will be studied alongside the Fama-French Three-Factor model, reaching the final version of our CAPM model. The reader will be encouraged to consider investing in ONGC over other NIFTY 50 companies.

Suggested Citation

  • Daniel Casado Ginard, 2024. "Econometric analysis of the share premium evolution of Oil and Natural Gas Corporation Limited," Revista de Economía y Finanzas (REyF), Asociación Cuadernos de Economía, vol. 2(4), pages 61-78, Abril.
  • Handle: RePEc:cud:journ2:v:2:y:2024:i:4:p:61-78
    as

    Download full text from publisher

    File URL: https://reveyf.es/index.php/REyF/article/view/366/165
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Oil and natural gas in India; Multinational company; Financial analysis; Extended CAPM model; Fama-French three factor model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels

    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:cud:journ2:v:2:y:2024:i:4:p:61-78. 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: Erick Tinsson (email available below). General contact details of provider: .

    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.