IDEAS home Printed from https://ideas.repec.org/a/beo/journl/v69y2024i242p93-128.html
   My bibliography  Save this article

Impact Of Crude Oil Price Volatility On Indian Stock Market Returns: A Quantile Regression Approach

Author

Listed:
  • Zubair Munawwara

Abstract

This paper examines the heterogenous effect of oil price volatility on Indian sectoral stock returns for the period January 2011 to September 2022 using the quantile regression method, which helps us to analyse the impact in bearish, normal, and bullish periods. The results show that total and sectoral stock returns are negatively affected by oil price fluctuations and the negative effect is stronger during the bearish period. In the normal and bullish periods, oil price volatility does not affect stock returns greatly. The interest rate and exchange rate changes have a stronger effect on sectoral returns in the bearish period in the pharmaceutical, healthcare, banking and finance, IT, fast-moving consumer goods (FMCG), and consumer durables sectors. The study shows that the impact of oil price volatility on sectoral returns is less than the impact of interest rate and exchange rate changes. The study also shows that oil price volatility directly impacts market portfolio returns initially, which subsequently spills over to sectoral returns, which implies that sectoral returns are impacted by oil price volatility through an indirect channel.

Suggested Citation

  • Zubair Munawwara, 2024. "Impact Of Crude Oil Price Volatility On Indian Stock Market Returns: A Quantile Regression Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 69(242), pages 93-128, July – Se.
  • Handle: RePEc:beo:journl:v:69:y:2024:i:242:p:93-128
    as

    Download full text from publisher

    File URL: http://www.ekof.bg.ac.rs/wp-content/uploads/2015/12/242-04.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    oil price volatility; sectoral returns; quantile regression; bearish; bullish;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:beo:journl:v:69:y:2024:i:242:p:93-128. 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: Goran Petrić (email available below). General contact details of provider: https://edirc.repec.org/data/efbeoyu.html .

    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.