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Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank

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Author Info
Alberto Cabrero () (Banco de España)
Gonzalo Camba-Mendez () (European Central Bank)
Astrid Hirsch () (European Central Bank)
Fernando Nieto () (Banco de España)
Abstract

The main focus of this paper is to model the daily series of banknotes in circulation in the context of the liquidity management of the Eurosystem. The series of banknotes in circulation displays very marked seasonal patterns. T o the best of our knowledge the empirical performance of tw o competing approaches to model seasonality in daily time series, namely the ARIMA-based approach and the Structural Time Series approach, has never been put to the test. The application presented in this paper provides valid intuition on the merits of eac happroach. The forecasting performance of the models is also assessed in the context of their impact on the liquidity management of the Eurosystem.

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File URL: http://www.bde.es/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/02/Fic/dt0211e.pdf
File Format: application/pdf
File Function: First version, May 2002
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Publisher Info
Paper provided by Banco de España in its series Banco de España Working Papers with number 0211.

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Length: 44 pages
Date of creation: May 2002
Date of revision:
Handle: RePEc:bde:wpaper:0211

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Related research
Keywords: Daily Forecast; Liquidity Management; ARIMA modelling; State Space modelling; Seasonality; Cubic Splines;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-58, May. [Downloadable!] (restricted)
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  2. Pierce, David A & Grupe, Michael R & Cleveland, William P, 1984. "Seasonal Adjustment of the Weekly Monetary Aggregates: A Model-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 260-70, July.
  3. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583. [Downloadable!] (restricted)
  4. Harvey, Andrew & Koopman, Siem Jan & Riani, Marco, 1997. "The Modeling and Seasonal Adjustment of Weekly Observations," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 354-68, July.
  5. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
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  6. Siem Jan Koopman & Marius Ooms, 2001. "Time Series Modelling of Daily Tax Revenues," Tinbergen Institute Discussion Papers 01-032/4, Tinbergen Institute. [Downloadable!]
    Other versions:
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Björn Fischer & Petra Köhler & Franz Seitz, 2004. "The demand for euro area currencies," Working Paper Series 330, European Central Bank. [Downloadable!]
  2. Bindseil, Ulrich & Nyborg, Kjell G., 2007. "Monetary policy implementation: A European Perspective," Discussion Papers 2007/10, Department of Finance and Management Science, Norwegian School of Economics and Business Administration. [Downloadable!]
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