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Evaluating the quality of fed funds lending estimates produced from Fedwire payments data

  • Anna Kovner
  • David R. Skeie

A number of empirical analyses of interbank lending rely on indirect inferences from individual interbank transactions extracted from payments data using algorithms. In this paper, we conduct an evaluation to assess the ability of identifying overnight U.S. fed funds activity from Fedwire payments data. We find evidence that the estimates extracted from the data are statistically significantly correlated with banks' fed funds borrowing as reported on the FRY-9C. We find similar associations for fed funds lending, although the correlations are lower. To be conservative, we believe that the estimates are best interpreted as measures of overnight interbank activity rather than fed funds activity specifically. We also compare the estimates provided by Armantier and Copeland (2012) to the Y-9C fed funds amounts.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 629.

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Date of creation: 2013
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Handle: RePEc:fip:fednsr:629
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  1. Q. Farooq Akram & Casper Christophersen, 2010. "Interbank overnight interest rates - gains from systemic importance," Working Paper 2010/11, Norges Bank.
  2. Olivier Armantier & Adam Copeland, 2012. "Assessing the quality of “Furfine-based” algorithms," Staff Reports 575, Federal Reserve Bank of New York.
  3. Acharya, Viral V & Merrouche, Ouarda, 2012. "Precautionary hoarding of liquidity and inter-bank markets: Evidence from the sub-prime crisis," CEPR Discussion Papers 8859, C.E.P.R. Discussion Papers.
  4. Stephen F. Quinn & William Roberds, 2010. "How Amsterdam got fiat money," FRB Atlanta Working Paper 2010-17, Federal Reserve Bank of Atlanta.
  5. Paolo Angelini & Andrea Nobili & Cristina Picillo, 2011. "The Interbank Market after August 2007: What Has Changed, and Why?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 923-958, 08.
  6. Scott Hendry & Nadja Kamhi, 2007. "Uncollateralized Overnight Loans Settled in LVTS," Staff Working Papers 07-11, Bank of Canada.
  7. Leinonen (ed), Harry, 2009. "Simulation analyses and stress testing of payment networks," Scientific Monographs E:42/2009, Bank of Finland.
  8. Wetherilt, Anne & Zimmerman, Peter & Soramaki, Kimmo, 2010. "The sterling unsecured loan market during 2006-08: insights from network theory," Bank of England working papers 398, Bank of England.
  9. Dennis Kuo & David R. Skeie & James Vickery & Thomas Youle, 2013. "Identifying term interbank loans from Fedwire payments data," Staff Reports 603, Federal Reserve Bank of New York.
  10. Furfine, Craig H, 2001. "Banks as Monitors of Other Banks: Evidence from the Overnight Federal Funds Market," The Journal of Business, University of Chicago Press, vol. 74(1), pages 33-57, January.
  11. Gara Afonso & Anna Kovner & Antoinette Schoar, 2011. "Stressed, Not Frozen: The Federal Funds Market in the Financial Crisis," Journal of Finance, American Finance Association, vol. 66(4), pages 1109-1139, 08.
  12. Basil Guggenheim & Sébastien Philippe Kraenzlin & Silvio Schumacher, 2011. "Exploring an uncharted market: Evidence on the unsecured Swiss franc money market," Working Papers 2011-05, Swiss National Bank.
  13. Ronald Heijmans & Richard Heuver & Dani�lle Walraven, 2011. "Monitoring the unsecured interbank money market using TARGET2 data," DNB Working Papers 276, Netherlands Central Bank, Research Department.
  14. Jason Allen & Ali Hortaçsu & Jakub Kastl, 2011. "Analyzing Default Risk and Liquidity Demand during a Financial Crisis: The Case of Canada," Staff Working Papers 11-17, Bank of Canada.
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