IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v93y2024icp91-101.html
   My bibliography  Save this article

Asymmetric nexus between economic policy uncertainty and the Indian stock market: Evidence using NARDL approach

Author

Listed:
  • Simran,
  • Sharma, Anil Kumar

Abstract

This study examines linkages between the stock market and uncertainty in the real economy generated by unpredictability of economic policies. We investigate the asymmetric effect of economic policy uncertainty (EPU) on India’s stock market performance through the non-linear autoregressive distributed lag (NARDL) approach for the period ranging from 2003 to 2022. A sub-sample analysis of the pre-covid period is also done to confirm that EPU had an impact on the stock market even prior to the pandemic. Our findings support the existence of asymmetry in the variables as the stock prices’ response to rising and declining EPU is not identical in both sample periods. It is observed that falling EPU’s positive impact on stock prices is greater than rising EPU’s adverse impact. The study suggests that government officials and policymakers must ensure consistency in policymaking and prevent the adverse effects of EPU as it impedes the long-term development of the securities market.

Suggested Citation

  • Simran, & Sharma, Anil Kumar, 2024. "Asymmetric nexus between economic policy uncertainty and the Indian stock market: Evidence using NARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 91-101.
  • Handle: RePEc:eee:quaeco:v:93:y:2024:i:c:p:91-101
    DOI: 10.1016/j.qref.2023.11.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976923001333
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.qref.2023.11.006?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Asymmetry; EPU; India; Stock prices; NARDL;
    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
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:eee:quaeco:v:93:y:2024:i:c:p:91-101. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620167 .

    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.