IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v52y2017icp107-126.html
   My bibliography  Save this article

Multiple policy interest rates and economic performance in a multiple monetary-policy-tool environment

Author

Listed:
  • Varlik, Serdar
  • Berument, M. Hakan

Abstract

This paper assesses the individual effects on economic performance of different monetary policy interest rates for a central bank. To measure these effects, we employ an extension of existing Factor-Augmented Vector Autoregressive (FAVAR) models, such that the number of monetary policy variables can be captured with a few unobservable factors, as well as economic state variables with other unobservable factors. The empirical evidence from Turkey suggests that the four interest rates we consider as policy tools for the central bank affect economic state variables in different magnitudes. Thus, selecting different policy tools provides an environment that allows determining the effects of each tool for differentiated economic outcomes.

Suggested Citation

  • Varlik, Serdar & Berument, M. Hakan, 2017. "Multiple policy interest rates and economic performance in a multiple monetary-policy-tool environment," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 107-126.
  • Handle: RePEc:eee:reveco:v:52:y:2017:i:c:p:107-126
    DOI: 10.1016/j.iref.2017.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056017303787
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2017.10.004?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.

    Citations

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


    Cited by:

    1. Mahmut Çelik & Ayla Oğuş Binatlı, 2022. "How Effective Are Macroprudential Policy Instruments? Evidence from Turkey," Economies, MDPI, vol. 10(4), pages 1-17, March.
    2. Yihong Sun & Xuemei Yuan, 2021. "Nonlinear relationship between money market rate and stock market liquidity in China: A multifractal analysis," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-18, April.
    3. Mohamed Ibrahim Mugableh, 2019. "Does Monetary Policy Affect Economic Growth in Jordan? Evidence from Ordinary Least Square Models," International Business Research, Canadian Center of Science and Education, vol. 12(1), pages 27-34, January.
    4. Serdar Varlik & M. Hakan Berument, 2020. "Monetary policy under a multiple‐tool environment," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 225-250, July.
    5. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
    6. Umit Bulut, 2023. "Measuring the impacts of monetary policy in Turkey: an extended structural vector autoregressive model with structural breaks," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 117-132, February.
    7. Brum-Civelli, Conrado & Garcia-Hiernaux, Alfredo, 2023. "An indicator of monetary bias for emerging and partially dollarized economies: The case of Uruguay," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 206-219.
    8. Dang, Van Dan & Huynh, Japan, 2022. "Monetary policy and bank performance: The role of business models," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    9. Dang, Van Dan & Dang, Van Cuong, 2020. "The conditioning role of performance on the bank risk-taking channel of monetary policy: Evidence from a multiple-tool regime," Research in International Business and Finance, Elsevier, vol. 54(C).
    10. Dang, Van Dan & Huynh, Japan, 2022. "Bank funding, market power, and the bank liquidity creation channel of monetary policy," Research in International Business and Finance, Elsevier, vol. 59(C).

    More about this item

    Keywords

    Monetary policy; Multiple monetary policy tools; FAVAR;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • 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

    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:reveco:v:52:y:2017:i:c:p:107-126. 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/620165 .

    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.