IDEAS home Printed from https://ideas.repec.org/h/spr/isbchp/978-981-16-7062-6_33.html
   My bibliography  Save this book chapter

Impact of US UMP on Indian Stock Market

In: Studies in International Economics and Finance

Author

Listed:
  • Moumita Paul

    (Gokhale Institute of Politics and Economics)

  • Kalluru Siva Reddy

    (Gokhale Institute of Politics and Economics)

Abstract

This paper looks at the impact of US quantitative easing (QE) on the Indian benchmark stock market index, the Nifty. Using data from September 2008 to June 2019 within an autoregressive distributed lag (ARDL) framework, we find that there is a long-term relationship between the QE, Nifty and other macroeconomic variables. A 10 percentage point increase in QE leads to a 2.1% increase in Nifty returns. From the counter factual analysis it is noted that Nifty would have been lower if there was no QE. The dependence of the Nifty on FII flows and the vagaries of FII flows on the unconventional monetary policies of the USA render the Indian stock market vulnerable.

Suggested Citation

  • Moumita Paul & Kalluru Siva Reddy, 2022. "Impact of US UMP on Indian Stock Market," India Studies in Business and Economics, in: Naoyuki Yoshino & Rajendra N. Paramanik & Anoop S. Kumar (ed.), Studies in International Economics and Finance, pages 647-662, Springer.
  • Handle: RePEc:spr:isbchp:978-981-16-7062-6_33
    DOI: 10.1007/978-981-16-7062-6_33
    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 search for a similarly titled item that would be available.

    More about this item

    Keywords

    Quantitative easing; Unconventional monetary policy; Financial crisis; Emerging economies; Monetary policy transmission; ARDL; Stock returns;
    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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:spr:isbchp:978-981-16-7062-6_33. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.