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The Reaction Function of Three Central Banks of Visegrad Group

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  • Josef Arlt
  • Martin Mandel

Abstract

The aim of our paper is to formulate and empirically verify the simple backward looking econometric model of the monetary policy rule, which would be able to describe the development of monetary policy rate, namely only on the basis of statistically measured and at the given time available information. We focus on the Czech National Bank, the National Bank of Poland and the Magyar Nemzeti Bank in the period of January 1999 to April 2012. In the present paper we discuss some methodological problems associated with the ex-post empirical verification of the central bank's monetary policy rule. We construct an empirical model of the monetary policy rule, justify the choice and the inclusion of explanatory variables, analyse the statistical properties of time series, and verify the alternative forms of econometric models. Our analysis showed that the development of monetary policy rate in the reporting period can be explained by the past and present development of four explanatory variables: yearly inflation rate, exchange rate, ECB main refinancing rate and growth rate of M2. The annualized inflation rate proved to be statistically insignificant in the model. We find interesting that the statistical quality of the estimated model was further increased after a six-month lag of the annual inflation rate added to the model.

Suggested Citation

  • Josef Arlt & Martin Mandel, 2014. "The Reaction Function of Three Central Banks of Visegrad Group," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(3), pages 269-289.
  • Handle: RePEc:prg:jnlpep:v:2014:y:2014:i:3:id:484:p:269-289
    DOI: 10.18267/j.pep.484
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    References listed on IDEAS

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    1. Vašíček, Bořek, 2012. "Is monetary policy in the new EU member states asymmetric?," Economic Systems, Elsevier, vol. 36(2), pages 235-263.
    2. Josef Arlt & Milan Bašta, 2008. "Časové řady měsíční a roční míry inflace a jejich vlastnosti [Time series of monthly and yearly inflation rates and their properties]," Politická ekonomie, Prague University of Economics and Business, vol. 2008(4), pages 536-556.
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    16. Josef Arlt & Milan Bašta, 2010. "The Problem of the Yearly Inflation Rate and Its Implications for the Monetary Policy of the Czech National Bank," Prague Economic Papers, Prague University of Economics and Business, vol. 2010(2), pages 99-117.
    17. Josef Arlt & Martin Mandel, 2012. "Je možné předpovídat repo sazbu ČNB na základě zpět hledícího měnového pravidla? [Is it Possible to Predict the CNB Repo Rate on the Basis of the Backward-Looking Monetary Rule?]," Politická ekonomie, Prague University of Economics and Business, vol. 2012(4), pages 484-504.
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    21. Jaromír Kukal & Tran Van Quang, 2011. "Modelování měnově politické úrokové míry ČNB neuronovými sítěmi [Modeling the CNB's Monetary Policy Interest Rate by Artificial Neural Networks]," Politická ekonomie, Prague University of Economics and Business, vol. 2011(6), pages 810-829.
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    Citations

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    Cited by:

    1. Mackiewicz-Łyziak Joanna, 2017. "Monetary Policy in Poland – How the Financial Crisis Changed the Central Bank’s Preferences," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 13(1), pages 15-24, November.
    2. Aleksandra Halka, 2016. "How the central bank’s reaction function in small open economies evolved during the crisis," Bank i Kredyt, Narodowy Bank Polski, vol. 47(4), pages 301-318.
    3. Karel Janda & Tran Van Quang & Pavel Zetek, 2015. "Faktory ovlivňující zapojení žen v mikrofinancích [The Factors Influencing the Participation of Women in Microfinance]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(3), pages 363-381.
    4. Majerová Ingrid, 2019. "Socio-economic Development and its Impact on Health Personnel in Regions of Visegrad Group Plus Countries," Review of Economic Perspectives, Sciendo, vol. 19(1), pages 3-24, March.
    5. Magdalena Szyszko & Aleksandra Rutkowska, 2019. "Macroeconomic Forecast Relevance in the Central Banks Decisions. The Case of European Economies," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(3), pages 257-275.
    6. Aleksandra Halka, 2015. "Lessons from the crisis.Did central banks do their homework?," NBP Working Papers 224, Narodowy Bank Polski.
    7. repec:prg:jnlpep:v:preprint:id:711:p:1-19 is not listed on IDEAS
    8. Martin Feldkircher & Florian Huber & Isabella Moder, 2016. "Modeling the evolution of monetary policy rules in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 8-27.

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    More about this item

    Keywords

    Visegrad Group; repo rate; monetary policy rules; econometric model; cointegration; annual inflation rate;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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