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

Author

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  • 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
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    Citations

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    Cited by:

    1. 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.
    2. Mahmut Çelik & Ayla Oğuş Binatlı, 2022. "How Effective Are Macroprudential Policy Instruments? Evidence from Turkey," Economies, MDPI, vol. 10(4), pages 1-17, March.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    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

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