IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201839.html

Conventional and Unconventional Monetary Policy Reaction to Uncertainty in Advanced Economies: Evidence from Quantile Regressions

Author

Listed:
  • Christina Christou

    (Open University of Cyprus, School of Economics and Finance. Cyprus)

  • Ruthira Naraidoo

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

Abstract

This paper offers new insight on how the Federal Reserve (Fed) and other monetary policy makers (Bank of England, Bank of Japan and the European Central Bank), reacted in the aftermath of the financial crisis. To this end, the paper makes use of a quantile-based approach that estimates the response of interest rates to inflation and the output gap at various points of the conditional distribution of interest rates. Furthermore to gauge the importance of monetary policy making at the zero lower bound, and to test the propositions that policy shows greater aggression in expansionary measures as interest rates reach low levels, and increasing aggression as the lower bound is approached, we make use of the shadow short rate of interest and a measure of uncertainty to capture this fact. While the results show no detectable evidence of increasing aggression to inflation as the zero lower bound is approached, yet the decreased reaction of the Fed and other monetary policy makers towards uncertainty particularly at lower quantiles of interest rates lends support to expansionary mechanism in place during this time.

Suggested Citation

  • Christina Christou & Ruthira Naraidoo & Rangan Gupta, 2018. "Conventional and Unconventional Monetary Policy Reaction to Uncertainty in Advanced Economies: Evidence from Quantile Regressions," Working Papers 201839, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201839
    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
    for a similarly titled item that would be available.

    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. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta, 2020. "Historical Forecasting Of Interest Rate Mean And Volatility Of The United States: Is There A Role Of Uncertainty?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-17, December.
    2. Plakandaras, Vasilios & Gupta, Rangan & Balcilar, Mehmet & Ji, Qiang, 2022. "Evolving United States stock market volatility: The role of conventional and unconventional monetary policies," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    3. Çekin, Semih Emre & Hkiri, Besma & Tiwari, Aviral Kumar & Gupta, Rangan, 2020. "The relationship between monetary policy and uncertainty in advanced economies: Evidence from time- and frequency-domains," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 70-87.
    4. Long, Shaobo & Zuo, Yulan & Tian, Hao, 2023. "Asymmetries in multi-target monetary policy rule and the role of uncertainty: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 278-296.
    5. Christina Christou & Ruthira Naraidoo & Rangan Gupta & Christis Hassapis, 2022. "Monetary policy reaction to uncertainty in Japan: Evidence from a quantile‐on‐quantile interest rate rule," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2041-2053, April.

    More about this item

    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pre:wpaper:201839. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.