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A sampling-window approach to transactions-based Libor fixing


  • Darrell Duffie
  • David R. Skeie
  • James Vickery


We examine the properties of a method for fixing Libor rates that is based on transactions data and multi-day sampling windows. The use of a sampling window may mitigate problems caused by thin transaction volumes in unsecured wholesale term funding markets. Using two partial data sets of loan transactions, we estimate how the use of different sampling windows could affect the statistical properties of Libor fixings at various maturities. Our methodology, which is based on a multiplicative estimate of sampling noise that avoids the need for interest rate data, uses only the timing and sizes of transactions. Limitations of this sampling-window approach are also discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:fip:fednsr:596

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    Cited by:

    1. David Hou Author-Name: David Skeie, 2013. "LIBOR: origins, economics, crisis, scandal and reform," The New Palgrave Dictionary of Economics, Palgrave Macmillan.
    2. 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.
    3. Darrell Duffie & Jeremy C. Stein, 2015. "Reforming LIBOR and Other Financial Market Benchmarks," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 191-212, Spring.

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    Interbank market ; Interest rates ; Intermediation (Finance) ; Sampling (Statistics);

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