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Identifying term interbank loans from Fedwire payments data

Author

Listed:
  • Kuo, Dennis

    () (University of California at Los Angeles)

  • Skeie, David R.

    (Texas A&M University)

  • Vickery, James

    (Federal Reserve Bank of New York)

  • Youle, Thomas

    () (University of Minnesota)

Abstract

Interbank markets for term maturities experienced great stress during the 2007-09 financial crisis, as illustrated by the behavior of the one- and three-month Libor. Despite widespread interest in these markets, little data is available on dollar interbank lending for maturities beyond overnight. We develop a methodology to infer information about individual term dollar interbank loans settled through the Fedwire® Funds Service, the large-value bank payment system operated by the Federal Reserve Banks. We find a sharp increase in the dispersion of inferred term interbank interest rates, a shortening of loan maturities, and a decline in term lending volume following the failure of Lehman Brothers in September 2008. Several diagnostic tests suggest that our approach provides a useful source of information about the term interbank market, allowing for a number of research applications.

Suggested Citation

  • Kuo, Dennis & Skeie, David R. & Vickery, James & Youle, Thomas, 2013. "Identifying term interbank loans from Fedwire payments data," Staff Reports 603, Federal Reserve Bank of New York, revised 01 Aug 2014.
  • Handle: RePEc:fip:fednsr:603
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    References listed on IDEAS

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    4. Darrell Duffie & David R. Skeie & James Vickery, 2013. "A sampling-window approach to transactions-based Libor fixing," Staff Reports 596, Federal Reserve Bank of New York.
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    Cited by:

    1. Luca Arciero & Ronald Heijmans & Richard Heuver & Marco Massarenti & Cristina Picillo & Francesco Vacirca, 2016. "How to Measure the Unsecured Money Market: The Eurosystem’s Implementation and Validation Using TARGET2 Data," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 247-280, March.
    2. Mark Rempel, 2016. "Improving Overnight Loan Identification in Payments Systems," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 549-564, March.
    3. Acharya, Viral V. & Skeie, David, 2011. "A model of liquidity hoarding and term premia in inter-bank markets," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 436-447.
    4. Konstantin Milbradt & Martin Oehmke, 2014. "Maturity Rationing and Collective Short-Termism," NBER Working Papers 19946, National Bureau of Economic Research, Inc.
    5. Ritz, Robert A. & Walther, Ansgar, 2015. "How do banks respond to increased funding uncertainty?," Journal of Financial Intermediation, Elsevier, vol. 24(3), pages 386-410.
    6. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    7. Kraenzlin, Sébastien & Nellen, Thomas, 2015. "Access policy and money market segmentation," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 1-12.
    8. Anna Kovner & David R. Skeie, 2013. "Evaluating the quality of fed funds lending estimates produced from Fedwire payments data," Staff Reports 629, Federal Reserve Bank of New York.
    9. Milbradt, Konstantin & Oehmke, Martin, 2015. "Maturity rationing and collective short-termism," Journal of Financial Economics, Elsevier, vol. 118(3), pages 553-570.

    More about this item

    Keywords

    interbank market; loan; Fedwire; algorithm;

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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