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Does money help predict inflation? An empirical assessment for Central Europe

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  • Horváth, Roman
  • Komárek, Luboš
  • Rozsypal, Filip

Abstract

This paper investigates the predictive ability of money for future inflation in the Czech Republic, Hungary, Poland and Slovakia. We construct monetary indicators similar to those the European Central Bank regularly uses for monetary analysis. We find in-sample evidence that money matters for future inflation at the policy horizons that central banks typically focus on, but our pseudo out-of-sample forecasting exercise shows that money does not in general improve the inflation forecasts vis-à-vis some benchmark models such as the autoregressive process. Since at least some models containing money improve the inflation forecasts in certain periods, we argue that money still serves as a useful cross-check for monetary policy analysis.

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  • Horváth, Roman & Komárek, Luboš & Rozsypal, Filip, 2011. "Does money help predict inflation? An empirical assessment for Central Europe," Economic Systems, Elsevier, vol. 35(4), pages 523-536.
  • Handle: RePEc:eee:ecosys:v:35:y:2011:i:4:p:523-536
    DOI: 10.1016/j.ecosys.2011.03.001
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    4. ALBULESCU, Claudiu Tiberiu & Pepin, Dominique, 2018. "Monetary Integration, Money-Demand Stability, and the Role of Monetary Overhang in Forecasting Inflation in CEE Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 33(4), pages 841-879.
    5. Sam Olofin & Olusanya Olubusoye & Afees A. Salisu & Alarudeen Aminu & Uwatt B. Uwatt & Micheal A. Adebiyi, 2017. "Revision of the small macro-econometric model of the Nigerian economy," Working Papers 032, Centre for Econometric and Allied Research, University of Ibadan.
    6. Hamid Baghestani & Liliana Danila, 2014. "Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 282-295, September.
    7. Kamil Galuscak & Adam Gersl & Marcela Gronychova & Petr Hlavac & Petr Jakubik & Lubos Komarek & Zlatuse Komarkova & Tomas Konecny & Jakub Seidler, 2014. "Stress-Testing Analyses of the Czech Financial System," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 12, number rb12/1 edited by Jan Babecky & Roman Horvath, January.
    8. Claudiu Tiberiu Albulescu & Daniel Goyeau & Cornel Oros, 2015. "On the Long Run Money-Prices Relationship in CEE Countries," Economic Research Guardian, Weissberg Publishing, vol. 5(1), pages 73-96, June.
    9. Claudiu Tiberiu Albulescu & Dominique Pépin, 2018. "Money demand stability, monetary overhang and inflation forecast in the CEE countries," Working Papers hal-01720319, HAL.
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    11. Krzysztof DRACHAL, 2020. "Forecasting the Inflation Rate in Poland and U.S. Using Dynamic Model Averaging (DMA) and Google Queries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 18-34, July.
    12. Olofin, S.O. & Olubusoye, O.E. & Mordi, C.N.O. & Salisu, A.A. & Adeleke, A.I. & Orekoya, S.O. & Olowookere, A.E. & Adebiyi, M.A., 2014. "A small macroeconometric model of the Nigerian economy," Economic Modelling, Elsevier, vol. 39(C), pages 305-313.
    13. Olofin, S.O. & Salisu, A.A & Tule, M.K, 2020. "Revised Small Macro-Econometric Model Of The Nigerian Economy," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 20(1), pages 97-116.
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    More about this item

    Keywords

    Money; Inflation; Forecasting; Central Europe;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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