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Monetary policy implementation and overnight rate persistence

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  • Nautz, Dieter
  • Scheithauer, Jan

Abstract

Overnight money market rates are the predominant operational target of monetary policy. As a consequence, central banks have redesigned the implementation of monetary policy to keep the deviations of the overnight rate from the key policy rate small and short-lived. This paper uses fractional integration techniques to explore how the operational framework of four major central banks affects the persistence of overnight rates. Our results suggest that a well-communicated and transparent interest rate target of the central bank is a particularly important condition for a low degree of overnight rate persistence.

Suggested Citation

  • Nautz, Dieter & Scheithauer, Jan, 2011. "Monetary policy implementation and overnight rate persistence," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1375-1386.
    • Handle: RePEc:eee:jimfin:v:30:y:2011:i:7:p:1375-1386
    DOI: 10.1016/j.jimonfin.2011.07.005
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    Cited by:

    1. Nuno Cassola & Claudio Morana, 2008. "Modeling Short-Term Interest Rate Spreads in the Euro Money Market," International Journal of Central Banking, International Journal of Central Banking, vol. 4(4), pages 1-37, December.
    2. Sumei Luo & Guangyou Zhou & Jinpeng Zhou, 2021. "The Impact of Electronic Money on Monetary Policy: Based on DSGE Model Simulations," Mathematics, MDPI, vol. 9(20), pages 1-26, October.
    3. Abbassi, Puriya & Nautz, Dieter, 2012. "Monetary transmission right from the start: On the information content of the Eurosystem's main refinancing operations," The North American Journal of Economics and Finance, Elsevier, vol. 23(1), pages 54-69.
    4. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2024. "Persistence and long memory in monetary policy spreads," Applied Economics, Taylor & Francis Journals, vol. 56(20), pages 2422-2433, April.
    5. Q. Farooq Akram & Casper Christophersen, 2017. "Pricing in the Norwegian Interbank Market – the Effects of Liquidity and Implicit Government Support," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(2), pages 165-204, April.
    6. Nautz, Dieter & Schmidt, Sandra, 2009. "Monetary policy implementation and the federal funds rate," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1274-1284, July.
    7. Q. Akram & Casper Christophersen, 2013. "Norwegian Overnight Interbank Interest Rates," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 11-29, January.
    8. Müller, Alexander & Paulick, Jan, 2020. ""The devil is in the details, but so is salvation": Different approachesin money market measurement," Discussion Papers 66/2020, Deutsche Bundesbank.
    9. Erkuş, Ekin Can & Purutçuoğlu, Vilda, 2021. "Outlier detection and quasi-periodicity optimization algorithm: Frequency domain based outlier detection (FOD)," European Journal of Operational Research, Elsevier, vol. 291(2), pages 560-574.
    10. Q. Farooq Akram & Casper Christophersen, 2010. "Interbank overnight interest rates - gains from systemic importance," Working Paper 2010/11, Norges Bank.
    11. Pin Guo & Yue Shen, 2016. "The impact of Internet finance on commercial banks’ risk taking: evidence from China," China Finance and Economic Review, Springer, vol. 4(1), pages 1-19, December.

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    More about this item

    Keywords

    Controllability and persistence of interest rates; Operational framework of central banks; Long memory and fractional integration; E52; C22;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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