There is also an issue with when the payments are made.
Sometimes the date is adjusted. So, I’ve computed the number of days from the
issue of the note and today’s date. I then attempt to compute the number of
months payments that should have been made (which could be off by one). For
notes originally purchased on the Lending Club platform the calculations are
made from the issue date. For those purchased on the secondary market, FOLIOfn,
the date of purchase is used. This results in the expected payments to date. The
index is the ratio of this versus the amount paid so far.
While looking at some specific notes, several anomalies were
discovered. Some people paid more than the amount due or paid ahead. This
resulted in an index of over 100. I arbitrarily set a maximum index at 100.
Some appeared to be significantly short, but it was a timing issue on when the
payment was received. It became obvious that the approximation for the number
of expected payments to date could cause a significant variance in the index,
particularly in the first few months. So, I made an adjustment by looking at
the number of payments expected and one less than this. I then used the higher
of the two index values. The results of these adjustments will cause most notes
to have an index of 100 early on in their life cycle.
For fully paid notes, the index would drop below 100 if they
were paid off early. One example was a 3-year note paid off with about 9 months
remaining. Its index dropped to 97.1 because of the loss of the interest that
would have been received over the next 9 months.
Description
|
Current
|
Other
|
Fully Paid
|
Charged Off
|
Index
|
Test 1 End in 2017
|
4%
|
22%
|
74%
|
1%
|
96.2
|
Test 2 End in 12 months
|
0%
|
88%
|
13%
|
0%
|
98.1
|
Test 3 LC Picks
|
0%
|
95%
|
3%
|
3%
|
99.5
|
Test 4 Zip Grade
|
0%
|
70%
|
0%
|
30%
|
99.9
|
Test 5 By Percent
|
0%
|
93%
|
3%
|
5%
|
99.7
|
Test 6 By Funded
|
0%
|
80%
|
0%
|
20%
|
100.0
|
Test 7 Random
|
0%
|
73%
|
3%
|
25%
|
98.6
|
Clearly, it’s too early to draw conclusions. I’m also
concerned that the index for test cases involving purchased notes is being misstated
by using averages. I’ll be working on this problem next week. Follow me on
twitter (@billlanke) and I’ll tweet when I post.
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