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The demand for euro banknotes in Germany: Structural modelling and forecasting

Author

Listed:
  • Bartzsch, Nikolaus
  • Seitz, Franz
  • Setzer, Ralph
Abstract
This paper explains and forecasts the demand for banknotes issued in Germany. For small and large denomination notes we estimate vector error correction models (VECM). The results suggest that the long-run demand for German small denomination notes is mainly driven by domestic transactions and demand from outside the euro area. The transaction motive in the rest of the euro area is part of the short-term dynamics. The long-run demand for German large denomination notes is mainly driven by foreign demand both from the rest of the euro area and outside the EMU. The global financial crisis led to a one-time increase in the (real) demand for these notes. Our results are in line with estimates according to which the level and dynamics of banknote demand are mainly determined by foreign demand. Additionally, we present RegARIMA models for the medium denominations as it was not possible to build a VECM for these denominations.

Suggested Citation

  • Bartzsch, Nikolaus & Seitz, Franz & Setzer, Ralph, 2015. "The demand for euro banknotes in Germany: Structural modelling and forecasting," MPRA Paper 64949, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:64949
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    File URL: https://mpra.ub.uni-muenchen.de/64949/1/MPRA_paper_64949.pdf
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. António Rua, 2019. "Modelling the Demand for Euro Banknotes," Working Papers w201905, Banco de Portugal, Economics and Research Department.
    2. Rua, António, 2018. "Modelling currency demand in a small open economy within a monetary union," Economic Modelling, Elsevier, vol. 74(C), pages 88-96.
    3. Camila Figueroa & Michael Pedersen, 2017. "Forecasting Demand for Denominations of Chilean Coins and Banknotes," Working Papers Central Bank of Chile 799, Central Bank of Chile.
    4. Luca Baldo & Elisa Bonifacio & Marco Brandi & Michelina Lo Russo & Gianluca Maddaloni & Andrea Nobili & Giorgia Rocco & Gabriele Sene & Massimo Valentini, 2021. "Inside the black box: tools for understanding cash circulation," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 7, Bank of Italy, Directorate General for Markets and Payment System.
    5. Seitz, Franz & Krueger, Malte, 2017. "The Blessing of Cash," International Cash Conference 2017 – War on Cash: Is there a Future for Cash? 162911, Deutsche Bundesbank.
    6. Altmann, Markus & Bartzsch, Nikolaus, 2014. "The volume of euro coins held for transaction purposes in Germany," MPRA Paper 59542, University Library of Munich, Germany.
    7. Arkadiusz Manikowski, 2017. "Analysis of the denomination structure of the Polish currency in the context of the launch of the new 500 zloty banknote," Bank i Kredyt, Narodowy Bank Polski, vol. 48(5), pages 495-530.
    8. André Cardoso Dias, 2019. "Estimating a country’s currency circulation within a monetary union," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    9. Gros, Daniel, 2017. "Implications of the Expanding Use of Cash for Monetary Policy," CEPS Papers 12661, Centre for European Policy Studies.
    10. António Rua, 2021. "Modelling currency demand: the case of the euro," Empirical Economics, Springer, vol. 61(4), pages 1865-1881, October.
    11. Ollech, Daniel, 2018. "Seasonal adjustment of daily time series," Discussion Papers 41/2018, Deutsche Bundesbank.
    12. Camila Figueroa S. & Michael Pedersen, 2019. "A system for forecasting Chilean cash demand – the role of forecast combinations," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(2), pages 040-068, August.

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    More about this item

    Keywords

    banknotes; vector error correction; RegARIMA; forecasts;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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