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efta-01385952DOJ Data Set 10OtherEFTA01385952
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27 March 2015
US Fixed Income Weekly
Figure 8: High-LTV pool pay-ups show curved relationship to refi incentive
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30-veer primary nwngege rate
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(Figure 9: Model fit for CO 3.5%s in and out of sample
[Figure 10: Model fit for CO 4.0%s In and out of sample
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Given this relationship we chose to use a non-parametric general additive
model (GAM) to describe that function. Reassuringly, the core function relating
ref i incentive to pay-up continues to hold well in out-of-the-money high-LTV
pools, which are non-deliverable and so can trade back of TBA.
That model produced a fit with nearly a 97% R-squared, and each variable
measured as highly significant, to 99.9% confidence. The model fit well on CO
and CR pools across multiple coupons, and appears to continue to track well
when predicting out of sample.
One final caveat to the accuracy of the model is our exclusion of any measure
of dollar roll specialness. Within our theoretical framework, dollar roll
specialness should have a significant inverse relationship with loan balance
pay-ups. That is, a highly special dollar roll should reduce or eliminate the carry
advantage of slower prepayments in the specified pool collateral. However,
calculating a historical measure of roll specialness is inherently subjective, and
our simple approach did not return a significant or logical relationship to pay-
ups. One explanation may be that pay-ups may react more strongly when the
roll is special in both the front and back months, indicating persistent
specialness. However, determining back month roll specialness becomes even
more complex and subjective than focusing on the front month alone.
Deutsche Bank Securities Inc.
Page 39
CONFIDENTIAL - PURSUANT TO FED. R. CRIM. P. 6(e)
DB-SDNY-0087420
CONFIDENTIAL
SDNY_GM_00233604
EFTA01385952
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