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How to measure the unsecured money market? The Eurosystem's implementation and validation using TARGET2 data

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  • Luca Arciero
  • Ronald Heijmans
  • Richard Heuver
  • Marco Massarenti
  • Cristina Picillo
  • Francesco Vacirca

Abstract

This paper develops a methodology, based on Furfine (1999), to identify unsecured interbank money market loans from transaction data of the most important euro processing payment system, TARGET2, for maturity ranging from one day (overnight) up to three months. The implementation has been verified with (i) interbank money market transactions executed on the Italian trading platform e-MID and (ii) aggregated reporting by the EONIA panel banks. The Type 2 (false negative) error for the best performing algorithm setup is equal to 0.92%. The results focus on three levels: Eurosystem, core versus (geographical) periphery and countries (Italy and the Netherlands). The different stages of the global financial crisis and of the sovereign debt crises are clearly visible in the interbank money market, characterised by significant drops in the turnover. We find aggregated interest rates very close to the EONIA but we observe high heterogeneity across countries and market participants.

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Bibliographic Info

Paper provided by Netherlands Central Bank, Research Department in its series DNB Working Papers with number 369.

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Date of creation: Jan 2013
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Handle: RePEc:dnb:dnbwpp:369

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Keywords: euro interbank money market; Furfine; TARGET2; financial stability; EONIA;

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References

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  1. Heider, Florian & Hoerova, Marie & Holthausen, Cornelia, 2009. "Liquidity hoarding and interbank market spreads: the role of counterparty risk," Working Paper Series 1126, European Central Bank.
  2. Olivier Armantier & Adam Copeland, 2012. "Assessing the quality of “Furfine-based” algorithms," Staff Reports 575, Federal Reserve Bank of New York.
  3. Giuseppe Cappelletti & Antonio De Socio & Giovanni Guazzarotti & Enrico Mallucci, 2011. "The impact of the financial crisis on inter-bank funding: evidence from Italian balance sheet data," Questioni di Economia e Finanza (Occasional Papers) 95, Bank of Italy, Economic Research and International Relations Area.
  4. Q. Farooq Akram & Casper Christophersen, 2010. "Interbank overnight interest rates - gains from systemic importance," Working Paper 2010/11, Norges Bank.
  5. Andrea Monticini & Francesco Ravazzolo, 2011. "Forecasting the intraday market price of money," Working Paper 2011/06, Norges Bank.
  6. Scott Hendry & Nadja Kamhi, 2007. "Uncollateralized Overnight Loans Settled in LVTS," Working Papers 07-11, Bank of Canada.
  7. Selva Demiralp & Brian Preslopsky & William Whitesell, 2004. "Overnight interbank loan markets," Finance and Economics Discussion Series 2004-29, Board of Governors of the Federal Reserve System (U.S.).
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Citations

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Cited by:
  1. Fariba Karimi & Matthias Raddant, 2013. "Cascades in real interbank markets," Kiel Working Papers 1872, Kiel Institute for the World Economy.
  2. Matthias Raddant, 2012. "Structure in the Italian Overnight Loan Market," Kiel Working Papers 1772, Kiel Institute for the World Economy.
  3. Ronald Heijmans & Richard Heuver & Clement Levallois & Iman van Lelyveld, 2014. "Dynamic visualization of large transaction networks: the daily Dutch overnight money market," DNB Working Papers 418, Netherlands Central Bank, Research Department.
  4. Ronald Heijmans & Lola Hern�ndez & Richard Heuver, 2013. "Determinants of the rate of the Dutch unsecured overnight money market," DNB Working Papers 374, Netherlands Central Bank, Research Department.
  5. Tölö , Eero & Jokivuolle, Esa & Viren, Matti, 2014. "Do private signals of a bank’s creditworthiness predict the bank’s CDS price? Evidence from the Eurosystem's overnight loan rates," Research Discussion Papers 9/2014, Bank of Finland.

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