IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v18y2018i5p837-848.html
   My bibliography  Save this article

Monetary policy and stock valuation: structural VAR identification and size effects

Author

Listed:
  • Alexandros Kontonikas
  • Zivile Zekaite

Abstract

This paper examines the relationship between the US monetary policy and stock valuation using a structural VAR framework that allows for the simultaneous interaction between the federal funds rate and stock market developments based on the assumption of long-run monetary neutrality. The results confirm a strong, negative and significant monetary policy tightening effect on real stock prices. Furthermore, we provide evidence consistent with a delayed response of small stocks to monetary policy shocks relative to large stocks.

Suggested Citation

  • Alexandros Kontonikas & Zivile Zekaite, 2018. "Monetary policy and stock valuation: structural VAR identification and size effects," Quantitative Finance, Taylor & Francis Journals, vol. 18(5), pages 837-848, May.
    • Handle: RePEc:taf:quantf:v:18:y:2018:i:5:p:837-848
    DOI: 10.1080/14697688.2017.1414516
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2017.1414516
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14697688.2017.1414516?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dohyun CHUN & Hoon CHO & Doojin RYU, 2018. "Macroeconomic Structural Changes in a Leading Emerging Market: The Effects of the Asian Financial Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-42, December.
    2. Chauvet, Marcelle & Jiang, Cheng, 2023. "Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S," Global Finance Journal, Elsevier, vol. 55(C).
    3. Jae Young Jang & Min Jae Park, 2019. "A Study on Global Investors’ Criteria for Investment in the Local Currency Bond Markets Using AHP Methods: The Case of the Republic of Korea," Risks, MDPI, vol. 7(4), pages 1-20, October.

    More about this item

    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:taf:quantf:v:18:y:2018:i:5:p:837-848. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.