This content is restricted to subscribers
AVMNews: Lee, as the Managing Director at AVMetrics, you’re sitting at the center of the Automated Valuation Model (AVM) industry. What changes have you seen recently?
Lee: There’s a lot going on. We see firsthand how the evolution of the technology has affected the sector dramatically. The availability of data and the decline in costs of storage and computing power have opened the doors to new competition. We see new entrants using new techniques and built by fresh faces. We still have a number of large players offering well-established AVMs. But, we also see the larger players retiring some of their older models. The established AVM players have responded in some cases by raising their game, and in other cases, by buying their upstart rivals. So, we’ve seen increased competition and increased consolidation at the same time.
And, it’s true that the tools keep getting better. It’s not evenly distributed, but on average they continue to do a better and better job.
AVMNews: In what ways do AVMs continue to get better?
Lee: AVMetrics has been conducting contemporaneous AVM testing for over a decade now, and we have many quantitative metrics showing how much better AVMs are getting. Specifically, we run statistical analysis around the comparison of AVM estimates to sales prices that are unknown to the models. We have seen increases in model accuracy rates measured by percentage of predicted error (PPE), mean absolute error (MAE) and a host of other metrics. Models are getting better at predicting sale prices and when they miss, they don’t miss by as much as they used to.
AVMNews: What about on the regulatory side?
Lee: There is always a lot going on. The regulatory environment has eased in the last two years reflecting a whole new attitude in Washington, D.C. – one that is more open to input and more interested in streamlining. Take, for instance, the 2018 Treasury report that focuses on advancing technologies (See “A Financial System That Creates Economic Opportunities”).
Last November, I was at a key stakeholder forum for the Appraisal Subcommittee (ASC). One area of focus was harmonizing appraisal requirements across agencies. Another major focus was how to effectively employ new tools in support of the appraisal industry, including the growth of Alternative Valuation Products that utilize AVMs.
AVMNews: I know that you also wrote a letter to the Federal Finance Institutions Examination Council (FFIEC) about raising the de minimis threshold, below which some lending guidelines would NOT require an appraisal. This year in July they elected to change the de minimus threshold from $250,000 to $400,000 for residential housing. What are your thoughts?
Lee: Well, I think that the question everyone is struggling with is “What does the future hold for appraisers and AVMs?” Obviously, the field of appraisers is shrinking, and AVMs are economical, faster and improving. How is this going to play out?
First, my strong feeling is that appraisers are a valuable and limited resource, and we need to employ them at their highest and best use. Trying to be a “manual AVM” is not their highest and best use. Their expertise should be focused on the qualitative aspects of the valuation process such as condition, market and locational influences, not the quantitative (facts) such as bed and bath counts. Models do not capture and analyze the qualitative aspects of a property very well.
Several companies are developing ways of merging the robust data processing capabilities of an AVM with the qualitative assessment skills of appraisers. Today, these products typically use an AVM at their core and then satisfy additional FFIEC evaluation criteria (physical property condition, market and location influences) with an additional service. For example, the lender can wrap a Property Condition Report (PCR) around the AVM and reconcile that data in support of a Home Equity Line of Credit (HELOC) lending decision. This type of hybrid product offering is on the track that we’re headed down. Many AMCs and software developers have already created these types of products for proprietary use or for use on multiple platforms.
AVMNews: AVMs were supposed to take over the world. Can you tell us what happened?
Lee: Well, the Financial Crisis is one thing that happened. Lawsuits ensued, and everyone got a lot more conservative. And, the success of AVMs developed into hype that was obviously unrealistic. But, AVMs are starting to gain traction again. We are answering a lot more calls from lenders who want help implementing AVMs in their origination processes. They typically need our help with policies and procedures to stay on the right side of the Office of the Comptroller of the Currency (OCC) regulations, and so in the last year, we’ve done training at several banks.
Everyone is quick to point out that AVMs are not infallible, but AVMs are pretty incredible tools when you consider their speed, accuracy, cost and scalability. And, they are getting more impressive. Behind the curtain the models are using neural networks and machine learning algorithms. Some use creative techniques to adjust prices conditionally in response to situational or temporary conditions. We test them and talk to their developers, and we can see how that creativity translates into improved performance.
AVMNews: You consult to litigants about the use of AVMs in lawsuits. How do you think legal decisions and risk will affect the use of AVMs?
Lee: This is an area of our business, litigation support, where I am restricted from saying very much. It has been and continues to be an enlightening experience as some of the best minds are involved in all aspects of collateral valuation and the “Experts” are truly that… experts in their fields as econometricians, statisticians, appraisers, modelers, etc.… It is also very interesting with over 50 cases behind us now, to get a look behind the legal system curtain and how all of that works. Therefore, I want to emphasize that my comments for our interview are in the context of contemporaneous AVMs that were tested during the time period shown here and not a retrospective AVM that was looking back to these time periods.
AVMNews: AVMetrics now publishes the AVM News – how did that come about?
Lee: As you and the many subscribers know, Perry Minus of Wells Fargo started that publication as a labor of love over a decade ago. When he retired recently, he asked if I would take over as the publisher. We were honored to be trusted with his creation, and we see it as a way to be good citizens and contribute to the industry as a whole.
AVMNews: I encourage anyone interested in receiving the quarterly newsletter for free to go to http://eepurl.com/cni8Db
The AVMNews is a quarterly newsletter that is a compilation of interesting and noteworthy articles, news items and press releases that are relevant to the AVM industry. Published by AVMetrics, the AVMNews endeavors to educate the industry and share knowledge about Automated Valuation Models for the betterment of everyone involved.
After determining that a transaction or property is suitable for valuation by an Automated Valuation Model (AVM), the first decision one must make is “Which AVM to use?” There are many options – over 20 commercially available AVMs – significantly more than just a few years ago. While cost and hit rate may be considerations, model accuracy is the ultimate goal. A few additional estimates that are off by more than 20 percent can seriously increase costs. Inaccuracy can increase second-looks, cause loans not to close at all or even stimulate defaults down the road.
Which is the best AVM?
We test the majority of residential models currently available, and in the nationwide test in Figure #1 below, Model AM-39 (not its real name) was the top of the heap. It has the lowest average (absolute) error (MAE) by .1 over the 2nd place model. Model AM-39 is a full percentage point better than the 5th ranked model, which is good, but that’s not everything. Model AM-39 has the highest percentage of estimates within +/- 10% (PPE10%). Model AM-39 has the 2nd lowest percentage of extreme overvaluations (>=20%, or RT20 Rate), an especially bad type of error indicating a significant overvaluation or Right Tailed error.
If you were shopping for an AVM, you might think that Model AM-39 is the obvious choice. This model performs at the top of the list in just about every measure, right? Well, not so fast. Consider that those measurements are based on testing AVM’s across the entire nation, and if you are only doing business in certain geographies, you might only care about which model or AVM is most accurate in those areas. Figure 2 shows a ranking of models in Nevada, and if your heart was set on Model AM-39, then you would be relieved to see that it is still in the top 5. And, in fact, it performs even better when limited to the State of Nevada. However, three models outperform Model AM-39, with Model X-24 leading the pack in accuracy (albeit with a lower Hit Rate).
So, now you might be sold on Model X-24, but you might still look a little deeper. If, for example, you were a credit union in Clark County, you might focus on performance there. While Clark County is pretty diverse, it’s quite different from most other counties in Nevada. In this case, Figure 3 shows that the best model is still, Model X-24, and it performs very well at avoiding extreme overvaluations.
However, if your Clark County Credit Union is focused on entry level home loans with properties values below $100K, you might want to check just that segment of the market. Figure 4 shows that Model X-24 continues to be the best performer in Clark County for this price tier. Note that the other top models, including Model AM-39, show significant weaknesses as their overvaluation tendency climbs into the teens. This is not a slight difference, and it could be important. Model AM-39 is seven times more likely than Model X-24 to overvalue a property by 20%, and those are high-risk errors.
Look carefully at the model results in Figure 4 and you’ll see that Model X-24, while being the most accurate and precise, has the lowest hit rate. That means that about 40% of the time, it does not return a value estimate. The implication is: you really want a second and a third AVM option.
Now let’s consider a different lending pattern for the Clark County credit union. Consider a high value property lending program and look at figure 5, which is an analysis of the over-$650K properties and how the models perform in that price tier. Figure 5 shows that Model X-24 is no longer in the top five models. The best performer in Clark County for this price tier is Model AM-39, with 92% within +/-10% and zero overvaluation error in excess of 20%. The other models in the top five also do a good job of valuing properties in this tier.
Figure 6 summarizes this exercise, which demonstrates the proper thinking when selecting models. First, focus on the market segment that you do business in – don’t use the model that performs best outside your service area. Second, rather than using a single model, you should use several models prioritized into what we call a “Model Preference Table®” in which models are ranked #1, #2, #3 for every segment of your market. Then, as you need to request an evaluation, the system should call the AVM in the #1 spot, and if it doesn’t get an answer, try the next model(s) if available.
In this way, you get the most competent model for the job. Even though one model will test better overall, it won’t be the best model everywhere and for every property type and price range. In our example, the #1 model in the nation was not the preferred model in every market segment we focused on. If we had focused on another geography or market segment, we almost certainly would have seen a reordering of the rankings and possibly even different models showing up in the top 5. The next quarter’s results might be different as well, because all the models’ developers are constantly recalibrating their algorithms; inputs and conditions are changing, and no one can afford to stand still.
For more than 12 years we’ve been testing AVMs and watching them improve over time. More model builders have developed better techniques, and with the falling cost of processing and storage, and with the improving availability of data, AVMs just continue to get better and better.
We aren’t the only ones noticing. We recently read with pleasure Craig Gilbert’s observations of the same phenomenon (Craig is an expert appraiser and co-founder of RAC – Relocation Appraisers and Consultants).
Since co-developing the AVM for Veros in 1999+, I’ve been predicting that AVMs would eventually morph over from Mortgage Origination & Portfolio Valuations, the primary intended uses, into Relocation buyouts. The question has been “when”, not “if”. Relocation represents a microcosm sub-market of the overall residential appraisal business – maybe 5% of the total?
Back in the early days, AVMs were not as accurate as they are today. This has changed. I was thinking about this very thing this morning before opening the current issue of Mobility Magazine, and there it was. The time has arrived.
Read Mobility Magazine December 2018 article “TECHNOLOGY TODAY – What’s Hot for Mobility” written by Steven M. John and Mary-Grace Ellington of HomeServices Relocation.
Here are a few excerpts from the article:
– Recent experiments to test reliability of AVMs show the results to be comparable to formal, in-person appraisals.”
– These valuation tools can save significant time and money while offering convenience.”
– A typical FAVM can be obtained for a fraction of the cost of a traditional appraisal.” [“F” = Forecasting]
– Target values are not fed into the models, and they are not subject to obvious human bias, so theirs perceived impartiality”
– Fidelity Residential Solutions has been at the forefront of testing these new tools.”
Some of you may know Lee Kennedy, an Independent AVM Expert, of AVMetrics, started by Lee in 2005. Lee is a really great guy, has been an appraiser since the mid-80’s, has testified as an expert witness on cases involving use of AVMs and the Financial Crisis and has spoken at recent A.I. Symposium. He’s like the AVM gate-keeper. In his blog titled “The Wild, Wild West of Automated Valuations”, there is a graph showing that the mean absolute error of tested AVMs decreased from 14.7% in 2009 to 5.8% in 2017 and 2018. This is for all AVMs in entire U.S.. Some of course are more accurate than a +-5.7% error rate, when drilling down to specific neighborhoods and AVMs, on a case-by-case basis.
Recently the OCC, FDIC and the Federal Reserve proposed raising the de minimis threshold for residential properties below which appraisals are not required to complete a home loan. Currently, most homes transacting at $250K and above require an appraisal, but Federal regulators propose to raise that level to $400K. A November 30th Wall Street Journal article raises some interesting issues about the topic. They reported that the number of appraisers is down 21% since the housing crisis, but more homes require an appraiser, since more and more homes exceed the threshold each year. The article also states that these factors open the door for cheaper, faster and “largely untested” property valuations based on computer algorithms, also known as Automated Valuation Models (AVMS).
At AVMetrics, we have been continuously testing AVMs for over 15 years, so we’ve seen how they’ve performed over time. As an example, the accompanying chart shows model performance accuracy as measured by mean absolute error, a statistical metric of valuation error. We utilize many statistical measures of evaluating model accuracy and precision, and they all show significant improvement in AVMs over time. And, as these automated tools get better and the workforce of appraisers continues to shrink, the FFIEC members’ proposed change seems warranted, but that doesn’t mean they don’t have their critics.
Ratish Bansal of Appraisal Inc was quoted in The Journal describing the state of AVMs as “a wild, wild West,” inviting, “abuse of all kind.” Furthermore, he contrasts that with the voluminous regulatory standards covering the use of appraisals.
We note much of those voluminous standards represent nearly the same quality control that was in place before the Credit Crisis. In other words, appraisals are not a guarantee against collateral risk. They are simply one tool in the toolbox – an effective, but comparatively time consuming and expensive tool. Also of note, far from being the “wild, wild west,” AVMs are also governed by regulators, most notably, Appendix B of the Appraisal and Evaluation Guidelines (OOC 2010-42) and Model Risk Management guidance (OCC 2011-12). These regulatory guidelines require that AVM developers be qualified, users of AVMs use robust controls, incentives be appropriate, and models be tested regularly and thoroughly with out-of-sample benchmarks. They require documentation of risk assessments and stipulate that a Board of Directors must oversee the use of all models. In other words, if AVMs were the “the wild, wild west” they would be rooted in a town with oversight of the legendary Wyatt Earp.
My strong feeling is that appraisals should not be a sole and exclusive tool when evaluations can be effectively employed in appropriate, lower-risk scenarios. Appraisers are a valuable and limited resource, and they should be employed at (to use appraisal terminology) their highest and best use. Trying to be a “manual AVM” is not the highest and best use of a highly qualified appraiser. Their expertise should be focused on the qualitative aspects of property valuation such as the property condition and market and locational influences. They should also be focused on performing complex valuation assignments in non-homogeneous markets. AVMs do not capture and analyze the qualitative aspects of a property very well, and they still stumble in markets with highly diverse house stock or houses with less quantifiable attributes such as view properties.
However, several companies are developing ways of merging the robust data processing capabilities of an AVM with the qualitative assessment skills of appraisers. Today, these products typically use an AVM at their core and then satisfy additionally required evaluation criteria (physical property condition, market and location influences) with an additional service. For example, a lender can wrap a Property Condition Report (PCR) around the AVM and reconcile that data in support of a lending decision. This type of “Hybrid valuation” is on the track we’re headed down. Many companies have already created these types of products for commercial and proprietary use.
We at AVMetrics believe in using the right tool for the job, and we believe there is a place for automated valuations in prudent lending practices. We think the smarter approach would be to marginally raise the de minimis threshold, but simultaneously to provide additional guidance for considering other aspects of a lending decision, specifically, collateral considerations and eligibility criteria for appraisal exemptions such neighborhood homogeneity, property conformity, market conditions and more.
On Monday, June 26, 2017 the Appraisal Institute’s Northern California Chapter hosted an educational seminar in Oakland, CA, with Lee Kennedy as an invited expert. The panel was moderated by Paul E. Chandler, MAI, and Lee’s co-panelists were Michael Simmons of AXIS Appraisal Management and Todd Krell of CrossCheck Compliance. The topic of this educational session was Third Party Vendors, Tools and Compliance: The Role of AMCs and AVMs in the Appraisal Process. The panel was part of the Commercial and Residential Symposium entitled The Role of Valuation Experts in the Current Regulatory Environment and provided both state (7hrs) and Appraisal Institute Continuing Education.
Appraiser and Appraisal Management is at the heart of quality loan production. How does a lender know it is using competent appraisers providing quality reports? Policies for the empanelment of appraisers, procurement of vendors and review and quality control of assignments must be documented, managed and audited. An expanding selection of data and technology options are available to lenders to manage all aspects of collateral due diligence. Tools include fully integrated loan origination systems, appraisal management platforms and robust data and review tools. This session will review how to find, screen and manage different third party providers, including AMCS, AVM sellers and QA compliance firms.
- AVM Cascades and Their Applicable Uses
- Commercially Available AVMs
- Big Data Solutions
- AMC Onboarding Check List
- Third Party Oversight
- AMC Auditing
- Quality Assurance Testing
- Performance Monitoring
In the AVM world, there is a bit of confusion about what exactly is a “cascade.” It’s time to clear that up. Over the years, the terms “cascade” and “Model Preference Table®” have been used interchangeably, but at AVMetrics, we draw an important distinction that the industry would do well to adopt as a standard.
In the beginning, as AVM users contemplated which of several available models to use, they hit on the idea of starting with the preferred model, and if it failed to return a result, trying a second model, and then a third, etc. This rather obvious sequential logic required a ranking, which was available from testing, and was designed to avoid “value shopping.” More sophisticated users ranked AVMs across many different niches, starting with geographical regions, typically counties. Using a table, models were ranked across all regions, providing the necessary tool to allow a progression from primary AVM to secondary AVM and so on.
We use the term “Model Preference Table” for this straightforward ranking of AVMs, which can actually be fairly sophisticated if they are ranked within niches that include geography, property type and price range.
More sophisticated users realized that just because a model returned a value does not mean that they should use it. Models typically deliver some form of confidence in the estimate, either in the form of a confidence score, reliability grade, a “forecasted standard deviation” (FSD) or similar measure derived through testing processes. Based on these self-measuring outputs from the model, an AVM result can be accepted or rejected (based on testing results) in favor of the next AVM in the Model Preference Table. This application reflects the merger of MPT rankings with decision logic, which in our terminology makes it a “cascade.”
|Logic + Ranking||X||X|
|Risk Tolerance + Logic + Ranking||X|
The final nuance is between a simple cascade and a “custom” cascade. The former simply sets across-the-board risk/confidence limits and rejects value estimates when they fail to meet the standard. For example, the builder of a simple cascade could choose to reject any value estimate with an FSD > 25%. A “custom cascade” integrates the risk tolerances of the organization into the decision logic. That might include lower FSD limits in certain regions or above certain property values, or it might reflect changing appetites for risk based on the application, e.g., HELOC lending decisions vs portfolio marketing applications.
We think that these terms represent significant differences that shouldn’t be ignored or conflated when discussing the application of AVMs.
Lee Kennedy, principal and founder of AVMetrics in 2005, has specialized in collateral valuation, AVM testing and related regulation for over three decades. Over the years, AVMetrics has guided companies through regulatory challenges, helped them meet their AVM validation requirements, and commented on pending regulations. Lee is an author, speaker and expert witness on the testing and use of AVMs. Lee’s conviction is that independent, rigorous validation is the healthiest way to ensure that models serve their business purposes.
 OCC 2005-22 (and the 2010 Interagency Appraisal and Evaluation Guidelines) warn against “value shopping” by advising, “If several different valuation tools or AVMs are used for the same property, the institution should adhere to a policy for selecting the most reliable method, rather than the highest value.”
Testing an AVM’s accuracy can actually be quite tricky. It is easy to get an AVM estimate of value, and you can certainly accept that a fair sale on the open market is the benchmark against which to compare the AVM estimate, but that is really just the starting point.
There are four keys to fair and effective AVM testing, and applying all four can be challenging for many organizations.
- Your raw data must be cleaned up, to ensure that there aren’t any “unusable” or “discrepant” characters in the data; differences such as “No.” “#” and “Num,” must be normalized.
- Once your test data is “scrubbed clean” it must be assembled in a universal format and it must be large enough to provide reliable test results, even down to the segment level for each property type within each price level within each county, etc. and this might require hundreds of thousands of records.
- Timing must be managed so that each model receives the same sample data at the same time with the same response deadline.
- Last, and most difficult, the benchmark sales data must not be available to the models being tested. In other words, if the model has access to the very recent sales price, it will be able to provide a near-perfect estimate by simply estimating that the value hasn’t changed (or changed very little) in the days or weeks since the sale.
AVMetrics tests every commercially available AVM continuously and aggregates this testing into a report quarterly; AVMetrics’ testing process meets these criteria and many more, providing a truly objective measure of AVM performance.
The process starts with the identification of an appropriate sample of properties for which benchmark values have very recently been established. These are the actual sales prices for arm’s-length transactions between willing buyers and sellers—the best and most reliable indicator of market value. To properly conduct a “blind” test, these benchmark values must be unavailable or “unknown” to the vendors testing their model(s). AVMetrics provides in excess of a half million test records annually to AVM vendors (without information as to their benchmark values). The AVM vendors receive the records simultaneously, run these properties through their model(s) and return the predicted value of each property within 48 hours, along with a number of other model-specific outputs. These outputs are received by AVMetrics, where the results are evaluated against the benchmark values. A number of controls are used to ensure fairness, including the following:
- ensuring that each AVM vendor receives the exact same property list (so no model has any advantage)
- ensuring that each AVM is given the exact same parameters (since many allow input parameters that can affect the final valuation)
- ensuring through multiple checks that no model had access the recent sale data, which would provide an unfair advantage
In addition to quantitative testing, AVMetrics circulates a comprehensive vendor questionnaire twice annually. Vendors that wish to participate in the testing process complete, for each model being tested, roughly 100 parameter, data, methodology, staffing and internal testing questions. These enable AVMetrics, and more importantly our clients, to understand model differences within both testing and production contexts, and it enables us and our clients to satisfy certain regulatory requirements describing the evaluation and selection of models (see OCC 2010-42).
AVMetrics next performs a variety of statistical analyses on the results, breaking down each individual market, each price range, and each property type, and develops results which characterize each model’s success in terms of precision, usability and accuracy. AVMetrics analyzes trends at the global, market and individual model levels, identifying where there are strengths and weaknesses, and improvements or declines in performance.
The last step in the process is for AVMetrics to provide an anonymized comprehensive comparative analysis for each model vendor, showing where their models stack up against all of the models in the test; this invaluable information facilitates the continuous improvement of each vendor’s model offerings.
There is a lot of controversy about appraisals and Appraisers these days, and the FFIEC proposed rule change – increasing the de minimis threshold to $500,000 – allowing for an appraisal exemption and the use of an evaluation in lieu of an appraisal – has sparked anxiety in the world of collateral risk. Our colleagues at the Collateral Risk Network (CRN) expressed their opposition to the proposal. Not surprisingly for a group of its size, there are diverse opinions at the individual membership level of the group. Our opinion is that the change – far from being the catastrophe imagined – will in fact have some important benefits.
A Place for De Minimis
While the CRN and certain appraiser blogs expressed skepticism – to put it mildly – we believe that there is a place for an appropriate de minimis level, even the $500,000 level now being considered. On low risk transactions, evaluations (as opposed to full appraisals) can be appropriate and even beneficial for risk management of the overall lending system.
Here’s why. Lending volumes tend to scale up and down faster than the supply of appraisers. As a result, boom cycles in the lending business can place extreme pressure on appraisers. This scenario makes quality control extremely challenging. The option to leverage efficient evaluations on low risk transactions can improve the risk management of the entire system by devoting limited appraisal resources to their highest and best use. In other words, when you place strain on a system, something has to give, and raising the de minimis threshold enables lenders to focus scarce resources on the riskier transactions.
Evaluations and the Credit Crisis
The CRN expressed concern about allowing the mistakes of the recent Credit Crisis to be repeated, and we could not be in more agreement. However, their letter insinuated that evaluations (specifically BPOs and AVMs) were to blame for inflated valuations. Of the vast number and type of quality problems experienced during the credit crisis, evaluations were not a major contributing factor. In fact, we are not aware of any reported cases of AVMs being blamed for the quality problems experienced during the credit crisis.
Appraisals as a Source of Market Analysis
Strangely, the CRN comments suggested that reviewing individual appraisals is an important source of market trend analysis for investors during overheated markets. We find this highly improbable. The typical single-family appraisal may contain microanalysis of neighborhoods or small markets that lenders may find informative, but most Investors already access market and economic trend data via other sources, including their own or 3rd party economic analyses and risk management tools.
Existing Quality Control Infrastructure for Appraisals
The CRN letter makes the case that appraisals benefit from an extensive regulatory framework and quality control infrastructure surrounding their use, making them inherently safer for the industry to rely upon. We note that much of the same quality control infrastructure and practices were in place before the last crisis. Much of that appraisal quality control depends on the same people and practices – e.g., “desk appraisals” performed by other appraisers – making them subject to similar risk factors. In other words, appraisals are not a guarantee against risk. They are simply one tool in the toolbox – an effective and comparatively expensive tool – but they should not be an exclusive tool when evaluations can be effectively employed in lower-risk scenarios. .
Application of Evaluations
We believe in using the right tool for the job, and we believe that there is a place for evaluations in prudent lending practices. Relying on additional risk measurements, rather than just focusing on a one size fits all de minimis level can provide a formula for better risk management. For example: A $350,000 transaction at a 40% LTV for a pay stub borrower has less need for an appraisal; an evaluation might be able to suffice. Better to allocate that valuable appraisal resource to a $225,000 transaction at 90% LTV. Raising the de minimis, while providing additional guidance for other measures, provides lenders and investors more flexibility to make smarter risk management decisions, and it releases valuable appraisal resources to be used where they can have the most benefit.
Now that the FFIEC has recently closed its commentary period regarding the proposed de minimis lending threshold of $500,000, we expect to receive final communication from the FFIEC during 2016.
We anticipate that lenders will adapt to the new regulations incrementally, with quality controls designed for the new thresholds, not discarded with the bathwater.
Lee Kennedy & Mike Coyne,
It seems like only yesterday we were lamenting the hubris of Volkswagen, loading software into their TDI models to fake out emissions tests on tens of millions of vehicles. Here we are again, this time with Mitsubishi. The only real surprise is that these companies don’t learn.
Hyundai in 2012, Ford in 2014, Volkswagen in 2015, and now Mitsubishi, although this is not even their first scandal. In the early 2000s, Mitsubishi was embarrassed by defects that were covered up.
It’s surprising that these companies cannot identify the root cause is faulty business processes. Instead, they root out the responsible parties and do a mea culpa, or the CEOs resign in shame for their leadership failures (as in the case of Volkswagen last year). Why doesn’t anyone realize that if your system is to self-test for emissions and mileage, eventually you are going to have a problem, because that is not a foolproof system?
The faulty business process is their lack of independent testing. These emissions and mileage results are vital business inputs, and the integrity of those results is mission critical. Where are their controls?
Our industry is financial services, where federal regulations have long required independent testing in many areas. Our specific segment of the industry is the Automated Valuation Model (AVM) business, which has a regulatory mandate for independent validation. Financial institutions use many different kinds of computer models to improve decision making, and AVMs are one kind of model. They estimate property values, and for banks that makes loans on property, that comes in handy in dozens of ways.
But, if there are systematic problems with AVMs, for example, if they over-valued everything by 20%, it could cause a huge problem for banks and credit unions. This is where we come in. We independently test and validate every commercially available residential AVM on a continuous basis, thoroughly, rigorously and impartially. And, the beneficiaries are everyone. Banks and credit unions benefit, borrowers benefit, and even the AVM developers benefit because of the feedback we provide to them as well as the broader consumer confidence in their products.
Certainly it is incumbent upon leaders to create a culture of integrity. One way of doing that is to do more than admonish people to be honest. Instead, create a system where there is independent testing, and make sure that everyone knows that their results will be tested. Voila! When people know they are being checked, integrity soars, and everyone wins. Don’t just demand integrity; build it into the process!
Lee Kennedy, principal and founder of AVMetrics in 2005, has specialized in collateral valuation, AVM testing and related regulation for over three decades. Over the years, AVMetrics has guided companies through regulatory challenges, helped them meet their AVM validation requirements, and commented on pending regulations to help bring clarity and sanity to the situation. Lee is an author, speaker and expert witness on the testing and use of AVMs. Lee’s conviction is that independent, rigorous validation is the healthiest way to ensure that models serve their business purposes. Every commercially available AVM vendor trusts AVMetrics to provide feedback to them on their models, facilitating each model’s continuous improvement.