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Analyzing the Correlation between Central Bank Interest Rates and Inflation on the Example of Poland within the European Union

Author

Listed:
  • Piotr Borawski
  • Aneta Beldycka-Borawska
  • Ireneusz Zuchowski
  • Tomasz Rokicki
  • Andrzej Parzonko
  • Lisa Holden
  • Renata Marks-Bielska

Abstract

Purpose: The main aim of this study was to determine the relationship between inflation and interest rates of the Central Bank in Poland with the background of European integration and the COVID-19 pandemic. Design/Methodology/Approach: The Central Bank of Poland (CBP) was the main source of data for the analysis (1998-2023). We used different methods which helped to analyze the changes in inflation and interest rates in Poland, for example Augmented Dickey Fuller test (ADF test), Autoregressive Moving Average model (ARIMA model) and the regression analysis using the Classical Method of Least Square. Findings: The study demonstrated that inflation will decrease steadily in Poland due to relatively high interest rates. The Central Bank of Poland and government agencies should implement cohesive policies to reduce inflation. The Central Bank of Poland has increased interest rates to fight inflation, whereas the wide range of social welfare programs introduced by the government has contributed to higher inflation. Practical implications: The results will fill in the gap concerning the financial policy of Central Bank. Originality/Value: The new information about impact of interest rate on inflation and a ARiMA model was presented.

Suggested Citation

  • Piotr Borawski & Aneta Beldycka-Borawska & Ireneusz Zuchowski & Tomasz Rokicki & Andrzej Parzonko & Lisa Holden & Renata Marks-Bielska, 2024. "Analyzing the Correlation between Central Bank Interest Rates and Inflation on the Example of Poland within the European Union," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 82-95.
  • Handle: RePEc:ers:journl:v:xxvii:y:2024:i:1:p:82-95
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    References listed on IDEAS

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    1. Tomasz Lysiak, 2006. "Inflation Targeting and Consumer Inflation Expectations in Poland: A Success Story?," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(2), pages 185-212.
    2. Eleftherios Thalassinos & Erginbay Ugurlu & Yusuf Muratoglu, 2012. "Income Inequality and Inflation in the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 127-140.
    3. Nojković, Aleksandra & Petrović, Pavle, 2015. "Monetary policy rule in inflation targeting emerging European countries: A discrete choice approach," Journal of Policy Modeling, Elsevier, vol. 37(4), pages 577-595.
    4. Eleftherios Thalassinos & Nejib Hachicha & Amira Hakim, 2022. "The International Spillover Among Sectors and the Interconnectedness to the Global Inflation Cycle," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 12(1), pages 3-11.
    5. Viral V. Acharya & Matteo Crosignani & Tim Eisert & Christian Eufinger, 2024. "Zombie Credit and (Dis‐)Inflation: Evidence from Europe," Journal of Finance, American Finance Association, vol. 79(3), pages 1883-1929, June.
    6. Anatolijs Prohorovs, 2022. "Russia’s War in Ukraine: Consequences for European Countries’ Businesses and Economies," JRFM, MDPI, vol. 15(7), pages 1-15, July.
    7. Ergemen, Yunus Emre, 2022. "Forecasting inflation rates with multi-level international dependence," Economics Letters, Elsevier, vol. 214(C).
    8. Damir Piplica, 2011. "Corruption And Inflation In Transition Eu Member Countries," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 20(2), pages 469-506, december.
    9. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2021. "Inflation and cryptocurrencies revisited: A time-scale analysis," Economics Letters, Elsevier, vol. 206(C).
    10. Hokey Min, 2022. "Examining the Impact of Energy Price Volatility on Commodity Prices from Energy Supply Chain Perspectives," Energies, MDPI, vol. 15(21), pages 1-16, October.
    11. Equiza-Goñi, Juan, 2023. "Euro area inflation linked debt: An evaluation," Economics Letters, Elsevier, vol. 232(C).
    12. Liñares-Zegarra, José M. & Willesson, Magnus, 2021. "The effects of negative interest rates on cash usage: Evidence for EU countries," Economics Letters, Elsevier, vol. 198(C).
    13. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    14. Tomasz Lyziak, 2016. "Survey measures of inflation expectations in Poland: are they relevant from the macroeconomic perspective?," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 16(1), pages 33-52.
    15. Paweł Gajewski, 2017. "Sources of Regional Inflation in Poland," Eastern European Economics, Taylor & Francis Journals, vol. 55(3), pages 261-276, May.
    16. Łyziak, Tomasz, 2003. "Consumer inflation expectations in Poland," Working Paper Series 287, European Central Bank.
    17. Erdem, Ergin & Shi, Jing, 2011. "ARMA based approaches for forecasting the tuple of wind speed and direction," Applied Energy, Elsevier, vol. 88(4), pages 1405-1414, April.
    18. de Jong, Piet & Penzer, Jeremy, 2004. "The ARMA model in state space form," Statistics & Probability Letters, Elsevier, vol. 70(1), pages 119-125, October.
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    Cited by:

    1. Piotr Borawski & Aneta Beldycka-Borawska & Tomasz Rokicki & Lisa Holden & Ireneusz Zuchowski & Katarzyna Brodzinska, 2024. "Spatial Differentiation of Poland’s Gross Domestic Product," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 423-436.
    2. Piotr Borawski & Aneta Beldycka-Borawska & Tomasz Rokicki & Lisa Holden, 2024. "The Role of Money Supply in Shaping Poland’s Gross Domestic Product," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 69-81.

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    More about this item

    Keywords

    Inflation; interest rates; European integration.;
    All these keywords.

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

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