Did you miss the recent announcement tha waivers will now be used for up 97% ltv?
No, I didn't. The 97% LTV waivers are inspection based. A property data collector must inspect the property to ascertain its physical characteristics. That data is then fed into the computer system and a value generated based on the comps in the system that are physically similar to the subject. It sounds like they have tested the model enough to be comfortable with the potential risk. In order to offer it, I'm sure when the address is entered the computer can pretty quickly tell whether there are sufficient comparable data points to return a result with a high confidence score - basic statistical analysis. That, coupled with an analysis of borrower income, credit, and assets, is what offers the waiver options. Again, it's all a risk assessment. Also remember, the GSEs don't just come out with these programs on a whim - they have to be approved by FHFA and show the testing and quality controls behind them.
If the subject is in a subdivision with a relatively homogenous market area and hundreds of sales in the past 6-12 months, how hard is it for the algorithm to search for proximate sales similar in age, site size, bedroom count, GLA, basement area, rated in say C4 condition? Isn't that basically what we do when we get back to the office and search the MLS? That's not a hard thing to program. It then spits out 20 sales meeting those criteria and performs basic regression analysis on them. If the lender entered a value guesstimate of $200k for a 90% LTV, and the resulting comps within a quarter mile had sale prices from $185k to $225k with the predominant sales having prices from $190k to $210k, don't you think it's pretty easy to figure out where the appraisal would come in at? If you sent three appraisers out there don't you think they should all come in somewhere within that range? If an appraiser went out, pulled those same comps, do you think they wouldn't come in somewhere around $200k? And if three ethical appraisers went out using that data, couldn't we have a 5% difference between the three (say $190k; $200k, and $210k) and generally say that all three values were reasonable? If the GSEs can figure all of that data out without needing an appraisal report, why do they need the appraisal?
I mean, my assistants can generally tell whether the lender's value looks good or not just from the data they pull while setting up my work file. They pull the subject's public record and MLS listing data, and then pull comps based on general parameters I've given them. They don't have an appraisal license and never inspected the property but, just by looking at the subject's MLS photos and the MLS results they pulled, can usually make a pretty good guess at value themselves.
I totally get not liking this trend because it takes assignments away from us, but as a statistics guy who generally understands risk-based assessments, it totally makes sense they would go this route. Orders for those easy appraisals of cookie-cutter tract homes in densely populated suburban areas are going to diminish - it's just a fact. But, there will be increased demand for more complex assignments (rural, manufactured, higher quality, large acreage, etc.) because the GSE models can't handle those well.