10 Year Forecast of U.S. Treasury Yields And U.S. Dollar Interest Rate Swap Spreads
Today’s forecast for U.S. Treasury yields is based on the December 2, 2010 constant maturity Treasury yields reported by the Board of Governors of the Federal Reserve System in its H15 Statistical Release reported at 4:15 pm December 3, 2010. The “forecast” is the implied future coupon bearing U.S. Treasury yields derived using the maximum smoothness forward rate smoothing approach developed by Adams and van Deventer (Journal of Fixed Income, 1994) and corrected in van Deventer and Imai, Financial Risk Analytics (1996). For an electronic delivery of this interest rate data in Kamakura Risk Manager table format, please subscribe via email@example.com.
The “forecast” for future U.S. dollar interest rate swap rates is derived from the maximum smoothness forward rate approach, but it is applied to the forward credit spread between the libor-swap curve (also reported in the H15 release) and U.S. Treasury curve instead of to the absolute level of forward rates for the libor-swap curve.
This week’s projections for the 1 month Treasury bill rate (investment basis) show another twist in the forecast for bill rates. One month bill rates expected in 2014-2016 were up as much as 20 basis points compared to last week, with a rise over the last 3 weeks of almost 100 basis points on parts of the projected path for 1 month bill rates. Bill rates in 2020, by contract, were projected at more than 12 basis points lower than last week. Bill rates are projected to rise to 4.91% in November 2020, down 13 basis points from last week. The 10 year U.S. Treasury yield is projected to rise steadily to reach 5.50% on November 30, 2020, down 10 basis points from last week.
U.S. dollar swap spreads this week were a negative 30 basis points at 30 years, 6 basis points less negative than last week. Today’s forecast continues to imply a rise and fall of spreads between the libor-swap curve and U.S. Treasuries, with a local peak in the 1 month spread of 65.9 basis points in April 2011, up 1 basis point from last week. Thereafter, swap spreads drop to a negative spread of 29.4 basis points in October 2011. This extreme gyration is generated by the difference in credit risk on the Libor curve (used for 1 month, 3 months, and 6 months) and the interest rate swap curve (used for one year and beyond). Buyers of Eurodollar deposits run the risk of 100% loss of principal, but swap market participants stand to lose only the difference in original swap cash flows versus current market rates if the swap counterparty defaults with no collateral. Our analysis ignores this credit differential, consistent with common market practice. Spreads to US Treasuries turn positive thereafter until March 2019. Spreads then remain negative through 2020. The libor-swap curve itself shows a peak in 1 month Libor at 91.1 basis points in April 2011 and a fall to 18.5 basis points in October, 2011. These gyrations too are caused by the differential in credit risk between the first six months of the curve and longer maturities.
These negative spreads between U.S. dollar interest rate swaps and U.S. Treasury yields reflect the blurring of credit quality between these two yield curves. The U.S. government is no longer seen as risk free. Eurodollar rates used here are collected by the U.S. Federal Reserve and are different from the “official” libor rates collected by Thomson Reuters on behalf of the British Bankers Association. As reported in other blogs on this website, there is increasing evidence that the BBA Libor figures have been consistently set at below actual funding costs during the credit crisis that started in 2007. The U.S. dollar libor panel used by the British Bankers Association consists of 16 banks, and 4 of the 16 panel banks that determine U.S. dollar libor are receiving significant government assistance and are, in effect, sovereign credits. The current U.S. dollar libor panel members, last adjusted in May 2009, are the following banks:
- Bank of America
- Bank of Tokyo-Mitsubishi UFJ
- Barclays Bank PLC
- Citibank NA
- Credit Suisse
- Deutsche Bank AG
- JP Morgan Chase
- Lloyds Banking Group
- Norinchukin Bank
- Royal Bank of Canada
- Royal Bank of Scotland Group
- Societe Generale
- UBS AG
- WestLB AG
For more on the panel members, see www.bbalibor.com. Please note that there are periods of dramatic differences between the libor rates reported by the British Bankers Association, using the panel above, and the Eurodollar rates reflected in the H15 statistical release. Those differences are summarized in this recent blog entry on www.kamakuraco.com:
van Deventer, Donald R. “Kamakura Blog: Default Probabilities and Libor,” Kamakura blog, www.kamakuraco.com, June 7, 2010. Redistributed on www.riskcenter.com on June 8, 2010.
Background Information on Input Data and Smoothing
The Federal Reserve H15 statistical release is available here:
The maximum smoothness forward rate approach to yield curve smoothing was described in this blog entry:
van Deventer, Donald R. “Basic Building Blocks of Yield Curve Smoothing, Part 10: Maximum Smoothness Forward Rates and Related Yields versus Nelson-Siegel,” Kamakura blog, www.kamakuraco.com, January 5, 2010. Redistributed on www.riskcenter.com on January 7, 2010.
The use of the maximum smoothness forward rate approach for bond data is discussed in this blog entry:
van Deventer, Donald R. “Basic Building Blocks of Yield Curve Smoothing, Part 12: Smoothing with Bond Prices as Inputs,” Kamakura blog, www.kamakuraco.com, January 20, 2010. Redistributed on www.riskcenter.com on January 21, 2010.
The reasons for smoothing forward credit spreads instead of the absolute level of the libor-swap curve were discussed in this blog entry:
van Deventer, Donald R. “Basic Building Blocks of Yield Curve Smoothing, Part 13: Smoothing Credit Spreads,” Kamakura blog, www.kamakuraco.com, April 7, 2010. Redistributed on www.riskcenter.com, April 14, 2010.
The Kamakura approach to interest rate forecasting was introduced in this blog entry:
van Deventer, Donald R. “The Kamakura Corporation Monthly Forecast of U.S. Treasury Yields,” Kamakura blog, www.kamakuraco.com, March 31, 2010. Redistributed on www.riskcenter.com on April 1, 2010.
Today’s Kamakura U.S. Treasury Yield Forecast
The Kamakura 10 year monthly forecast of U.S. Treasury yields is based on this data from the Federal Reserve H15 statistical release:
The graph below shows in 3 dimensions the movement of the U.S. Treasury yield curve 120 months into the future at each month end:
These yield curve movements are consistent with the continuous forward rates and zero coupon yields implied by the U.S. Treasury coupon bearing yields above:
In numerical terms, forecasts for the first 60 months of U.S. Treasury yield curves are as follows:
The forecasted yields for months 61 to 120 are given here:
Today’s Kamakura Forecast for U.S. Dollar Interest Rate Swap Yields and Spreads
Today’s forecast for U.S. Dollar interest rate swap yields is based on the following data from the H15 Statistical Release published by the Board of Governors of the Federal Reserve System:
Applying the maximum smoothness forward rate smoothing approach to the forward credit spreads between the libor-swap curve and the U.S. Treasury curve results in the following zero coupon bond yields:
The forward rates for the libor-swap curve and U.S. Treasury curve are shown here:
The 10 year forecast for U.S. dollar interest rate swap yields is shown in the following graph:
The 10 year forecast for U.S. dollar interest rate swap spreads to U.S. Treasury yields is given in the following graph:
The numerical values for the implied future U.S. dollar interest rate swap spreads to U.S. Treasury yields are given here for 60 months forward:
The numerical values for the implied future U.S. dollar interest rate swap spreads to U.S. Treasury yields are given here for 61-120 months forward:
For more information about the yield curve smoothing and simulation capabilities in Kamakura Risk Manager, please contact us at firstname.lastname@example.org. Kamakura interest rate forecasts are available in pre-formatted Kamakura Risk Manager data base format.
Donald R. van Deventer
Honolulu, December 3, 2010