Question: For this part, use first and second set, i.e. total of 12 Treasuries 4. a)Using regression methods, extract zero coupon bonds. (Note: Force the intercept

For this part, use first and second set, i.e. total of 12 Treasuries 4.

a)Using regression methods, extract zero coupon bonds. (Note: Force the intercept to zero in the regression).

b) Calculate 6 month spot rates

c) Plot the spot rate curve

All the above steps have been completed. See attachedimagesl for details

My question:

d) Compare the spot rates with the ones you found by bootstrapping. Are they different? Why? Why not?

For this part, use first and second set, i.e.For this part, use first and second set, i.e.For this part, use first and second set, i.e.For this part, use first and second set, i.e.
Set I: T-bills Maturity Bid Asked Chg Asked-yield 9/15/2023 4.895 97.77461 0.05 5.08 2 3/15/2024 4.803 95. 14043 0.013 5.098 T-bonds Maturity Coupon (% Bid Asked Chg Asked yield 3 9/15/2024 3.25 97.09 97.094 -0.016 5.169 1.5 4 3/15/2025 1.75 93.304 93.31 -0.698 4.92 2 5 9/15/2025 3.5 97.024 97.03 -0.028 4.736 2.5 6 3/15/2026 2.5 94.044 94.05 -0.046 4.621 3 7 9/15/2026 1.125 88.23 88.234 -0.032 4.507 3.5 8 3/15/2027 2.5 92.266 92.272 -0.038 4.441 4 Set II: T-bonds Maturity Coupon (/ Bid Asked Chg Asked yield 9/15/2024 1.5 94. 196 94.202 -0.014 5.109 3/15/2025 2.625 95. 196 95.202 -0.03 4.872 3 3/15/2025 4.625 99.146 99.152 -0.028 4.905 4 9/15/2025 3 95.274 95.28 -0.026 4.725 5 3/15/2026 2.25 93.116 93.122 -0.048 4.588\fSUMMARY OUTPUT Regression Statistics Multiple R 0.999957 R Square 0.999915 Adjusted R 0.799795 Standard E 1.412733 Observation 13 ANOVA df SS MS F ignificance F Regression 8 116808 14601 7315.807 4.67E-08 Residual 5 9.979077 1.995815 Total 13 116818 Coefficientstandard Erro t Stat P-value Lower 95% Upper 95% ower 95.0upper 95.0% Intercept 0 #N/A #N/A #N/A #N/A #N/A #N/A #N/A X Variable - 0.959785 0.009989 96.08254 2.32E-09 0.934107 0.985463 0.934107 0.985463 X Variable 2 0.939153 0.009924 94.63194 2.5E-09 0.913642 0.964664 0.913642 0.964664 X Variable 3 0.925604 0.0098 94.4467 2.52E-09 0.900411 0.950796 0.900411 0.950796 X Variable 4 0.898716 0.009874 91.0166 3.03E-09 0.873334 0.924099 0.873334 0.924099 X Variable 5 0.884509 0.009852 89.78184 3.25E-09 0.859185 0.909834 0.859185 0.909834 X Variable ( 0.872003 0.013955 62.48477 1.99E-08 0.836129 0.907876 0.836129 0.907876 X Variable 7 0.846753 0.014049 60.2713 2.38E-08 0.810639 0.882867 0.810639 0.882867 X Variable & 0.833223 0.013957 59.69722 2.5E-08 0.797344 0.869102 0.797344 0.869102Z(0,0.5) 0.959785 Z(0, 1) 0.939153 c Z(0, 1.5) 0.925604 Z(0, 2) 0.898716 Z(0, 2.5) 0.884509 Spot Rate Z(0, 3) 0.872003 9.00% 8.38% Z(0,3.5) 0.846753 8.00% Z(0,4) 0.833223 7.00% 6.38% 6.00% 5.22% 5.41% (b) r(0,0.5) 8.38% 0.5 4.97% 4.62% 4.81% 4.61% 5.00% r(0, 1) 6.38% 1 r(0, 1.5) 5.22% 1.5 4.00% r(0,2) 5.41% 2 3.00% r(0,2.5) 4.97% 2.5 2.00% r(0, 3) 4.62% 3 1.00% r(0,3.5) 4.81% 3.5 0.00% r(0,4) 4.61% 4 r(0,0.5) r(0, 1) r(0, 1.5) r(0,2) r(0,2.5) r(0,3) r(0,3.5) r(0,4) d Yes, they are different. Because

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