
As of December 2003, the top 10 HEL issuers were as follows:
|
Rank
|
Deal Name ID
|
Issuer
|
Current Balance
|
Original Balance
|
|
1
|
RFC
|
Residential Funding Mortgage Securities II
|
71,494,232,159
|
242,072,452,603
|
|
2
|
CWF
|
Countrywide
|
53,251,532,489
|
121,935,129,123
|
|
3
|
RES
|
RESI Finance LP 2003-CBI/RESI Finance DE Corp
2003-CBI
|
48,353,376,295
|
77,933,014,483
|
|
4
|
WMS
|
Washington Mutual Mortgage Loan Trust
|
48,318,167,783
|
117,637,520,395
|
|
5
|
SAS
|
Structured Asset Securities Corp.
|
31,736,689,846
|
79,690,769,680
|
|
6
|
CSF
|
CS First Bostin Mortgage Securities Corp.
|
25,136,599,885
|
51,358,734,896
|
|
7
|
WFM
|
Wells Fargo Asset Securities Corp.
|
19,626,493,594
|
54,301,040,825
|
|
8
|
AMQ
|
Ameriquest Morgage Securities
|
19,536,932,462
|
26,361,542,952
|
|
9
|
BMS
|
Bank of America Mortgage Securities
|
18,245,906,439
|
58,215,862,836
|
|
10
|
MAS
|
MASTR Asset Securitization Trust
|
16,932,910,886
|
26,611,801,713
|
The model will have a parameter set for each of the above 10 issuers.
While running the model, if issuer information is not available, then
a generic parameter set (an average across all issuers) will be used.
Developing a model involves access to variables that do not have too
many missing values. Even though FICO is an important explanatory variable
in describing the variation in prepayments for HELs, we do not have
access to a full set of FICO scores across all issuers. Hence, we use
a proxy variable to determine the credit rating of a borrower. We use
the Spread at Origination (SatO) variable which is calculated as the
difference between the loan rate and the rate on a par-priced FNMA 30
year mortgage.
The other variables we looked at include the following:
Refinancing Incentive
Aging
Original Balance
Original Loan-to-Value
Home Price Appreciation
>>>
|