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Yield Curve
[This yield curve provides the interest rates used to calculate index arbitrage program trading values.]
Updated: Saturday, Dec-03-2016
11:40pm ET

Yield Curve Used to Calculate Index Arbitrage Program Trading Values

The yield curve is constructed daily as piecewise linear segments.
Individual segments are constructed as zero coupon yields from current quotations for deposit rates and Eurodollar futures. The segments are consecutively linked mathematically, according to conventional yield curve construction techniques.
Quotations for deposit rates and Eurodollar futures are used to construct the yield curve because they are actively traded and, therefore, have good price (and yield) discovery.
The interest rate for a given index future is determined by selecting the yield that corresponds to its settlement (expiration) date on the yield curve. Internally, this is accomplished by interpolation, using the two yields at the nodes of the relevant line segment; viz., the line segment defined by the date coordinates that surround the futures' expiration date.
The interest rates in the following tables are rounded to six decimal places; internal precision is maintained to at least twelve decimal places.

Yield Curve Data Used to Construct the Above Graph
Yield Curve Origin Date is 12-05-2016
Date Number
of Days
from Origin
Interest Rate
01-05-201731 0.882480 
03-22-2017107 0.913497 
04-19-2017135 0.940386 
05-17-2017163 0.966181 
06-14-2017191 0.979479 
07-19-2017226 0.996861 

Table of the active index futures and the interest rates
(derived from the above yield curve)
that are used to calculate their index arbitrage program trading values.
 Index Futures Index Futures
Expiration Date
of Days
from Origin
Interest Rate
S&P 500      
  DEC 2016 12-16-2016   13   0.835500  
  MAR 2017 03-17-2017   104   0.912273  
  JUN 2017 06-16-2017   195   0.981465  
Nasdaq 100      
  DEC 2016 12-16-2016   11   0.830280  
  MAR 2017 03-17-2017   102   0.911456  
  JUN 2017 06-16-2017   193   0.980472  
Dow Jones      
  DEC 2016 12-16-2016   13   0.835500  
  MAR 2017 03-17-2017   104   0.912273  
  JUN 2017 06-16-2017   195   0.981465  


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