Earlier this month we discussed the new pool-level forbearance and delinquency data released by the GSE’s. At that time, we noted that the delinquency data looked reasonable for May, but that the forbearance data fell short of other reported measures, particularly for Freddie Mac.
The release of the Ginnie Mae loan-level forbearance data earlier this week enabled us to see the impact of the Covid-19 crisis on forbearance.
An immediate question is how this data relates to delinquency. We have commented previously that forbearance and delinquency are distinct concepts as borrowers may choose to enroll in a forbearance program as an option to stop paying their mortgage on short notice in the future. The pool level data released earlier this month by the GSE’s is not of high quality and showed forbearance rates less than those released from other sources.
The Ginnie Mae loan level data appears to be very accurate, and in synch with other reports. Within the category of forbearance loans, 27.9% of Covid related are still paying. The portion for not Covid related is 15.5%. This result provides confirmation that a significant portion of borrowers have availed themselves of the option to stop paying without exercising it yet.
We received loan-level forbearance data from Ginnie Mae for May earlier today. The data are of high quality and appear to be broadly in line with the data reported by the Mortgage Bankers Association for the month of a little over 11% (no breakdown by program is given). The data appear to be a much better representation of market conditions than the pool-level data released by the GSE’s earlier in the month.
As this data is on the loan level, we can look at the relationship between this and delinquency data by state level geography and other characteristics such as bank/nonbank and underwriting characteristics and we will provide some analysis of this sort in upcoming posts.
We received delinquency and forbearance information for the GSE pools late last night. By balance, the pools with such information cover over 99% of FHL and 92% of FNM pools, which is satisfactory.
In terms of delinquency, Fannie Mae reported higher delinquency rate than Freddie Mac, which is in line with the relatively higher DTI’s seen in FNM deliveries in recent years. Freddie’s 30d delinquency rate reported in May was 2.47%, about 0.4% below the same figure for Fannie Mae .
The loan-level data releases we receive early each month contain delinquency data for Government programs such as FHA and VA, but no such information is provided by the GSE’s. However, late in the month data is provided for the reference loans in the Credit Risk Sharing (CRT) programs. However, data for the most recent month is only provided by the Freddie Mac Structured Agency Credit Risk (STACR) program as the comparable Fannie Mae data is released with a 1-month lag. The latest STACR data shows the 30day delinquency rate for Freddie CRT pools went up from 0.76% in April to 4.20% this month. The states with the highest delinquency rates are:
And the states with the lowest delinquency rates are:
The state rankings are broadly in line with those observed in the Government data. For example, the top three states in terms of 30-day dq’s for the FHA program are New York (14.4%), NJ (13.9%) and Puerto Rico (13.2%). In general, DQ’s for FHA are higher than those for the GSE’s due to the broader credit criteria available in Government programs.
Delinquencies are important in the CRT program because they have the potential to turn into losses shared with private investors. The forbearance programs will delay but not completely prevent this transmission. The ultimate extent of investor losses depends on the duration of the Covid-19 crisis, and ensuing policy actions.
There is a lot of confusion in the market regarding the interpretation of new data released by the two GSE’s, the delinquency distribution and forbearance distribution for some new pools. The data available so far are very limited, but we can draw some tentative conclusions from what we have.
As of this morning we found 11 pools with both a delinquency distribution and a forbearance distribution from the eMBS data feed. For 6 of them, forbearance numbers are the same as 30d delinquency numbers. For 5 of them, forbearance numbers are bigger than the delinquency numbers, and often by a significant margin.