Daily Late 0 DQ Vintage Curves | P2P Lending, Peer to Peer Lending, People to People Lending

You may have seen my Prosper vintage curves… While they were hard to make since the data had to be pulled off the Prosper Loan Performance page. These are now much easier with the private lender data (see the sql at the end of the post for those that are so inclined.) Here is a post for the general population daily vintage curves.

Check out the Daily Count Late Percentage Vintage curve for 0 current DQ…

Daily Late Vintage Curves 0 DQ Count Percentage

Using this sql:

(You need a table alldays with 1 column aday and a row for every day). (Unfortunately this sql takes a long time to run (10 minutes) so you won’t be able to run it on ProProsper as the query timeout is set to 30 seconds).

cast(aday-originationdate as int) as ‘PIT’,
sum(PrincipalBalance+NetDefaults) as ‘Amount’,
count(l.[key]) as ‘Count’,
sum(case WHEN (mld.DPD!=0 and (mld.DPD+(aday-observationdate))>@DTD) THEN PrincipalBalance+NetDefaults ELSE 0 END) as ‘AmountLate’,
sum(case WHEN (mld.DPD!=0 and (mld.DPD+(aday-observationdate))>@DTD) THEN PrincipalBalance+NetDefaults ELSE 0 END)/sum(PrincipalBalance+NetDefaults) as AmountLatePercentage,
sum(case WHEN (mld.DPD!=0 and (mld.DPD+(aday-observationdate))>@DTD) THEN 1 ELSE 0 END) as ‘CountLate’,
sum(case WHEN (mld.DPD!=0 and (mld.DPD+(aday-observationdate))>@DTD) THEN 1.0 ELSE 0.0 END)/count(l.[key]) as ‘CountLatePercentage’
loan l
inner join creditprofile cp on cp.listingkey=l.listingkey
inner join LoanPerformance mld on l.[key]=mld.loankey cross join alldays
mld.observationdate = ( select top 1 observationdate from LoanPerformance sub where sub.observationdate < aday and sub.loankey=mld.loankey order by sub.observationdate DESC )
and aday < getDate()
and aday >= ’02/01/2006′
and l.creditgrade!=’NC’
and cp.currentdelinquencies=0
group by
cast(aday-originationdate as int),
count(l.[key])>250 and
order by

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