A sampling-window approach to transactions-based Libor fixing
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.
|Date of creation:||2013|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.newyorkfed.org/
More information through EDIRC
|Order Information:|| Web: http://www.ny.frb.org/rmaghome/staff_rp/ Email: |
When requesting a correction, please mention this item's handle: RePEc:fip:fednsr:596. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Amy Farber)
If references are entirely missing, you can add them using this form.