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What does a mortgage lender
do when the entire industry
gets turned on its head? In
the aftermath of the subprime implosion,
a lack of volume has forced lenders
into a defensive shell, requiring
them to tighten their belts and brace
for a potentially cold and long winter.
But history has shown that under
periods of rapid and massive change,
technology innovation can turn market
vulnerability into market opportunity.
For mortgage lenders, product and
pricing engines might be that innovation
that enables them to follow a lean
lending strategy while, at the same
time, laying a foundation for growth -
both now and in the future.
The credit crunch has severely restricted
the flow of loans as investors
have tightened up underwriting
guidelines and done away with entire
product lines. Projections for 2008
show an estimated 18% to 20% drop in
origination volume - the lowest level
in almost eight years.
Of the loans that will be originated
in 2008, the vast majority will be conforming
and government loans - products
that yield much thinner margins
than the Alt-A and nonprime products
of the past. As a result, lenders face
significant downward pressure on revenue
and profitability.
So what is the best way to reverse
this situation? There are three areas
where product and pricing technology
can enhance a lender’s business
strategy, with an emphasis on growth
and efficiency. Although there are a
myriad of technology solutions available,
product and pricing automation
has the most direct impact where it
counts - at the point of sale.
Originators need a reason to choose
one lender over another. It might be
based on a pricing incentive, a reputation
for service, or simple brand recognition,
but lenders must present a
tangible value proposition in order to
attract volume from originators.
When you consider the plight of
originators, it’s easy to identify their
challenges. Tighter underwriting standards
have made loans much more difficult
to obtain, while frequent changes
to guidelines and product availability
leave them unable to determine borrower
eligibility. In today’s environment,
originators are more concerned
with closing deals rather than holding
out for better pricing. After all, originators
(and lenders) only make money
on loans that fund.
This is where product and pricing
engines can help lenders attract more
volume. By automating loan eligibility
and pricing at the point of sale,
originators get exactly what they’re
looking for: definitive answers in the
shortest time possible.
Whether they receive an approval
or denial, originators appreciate the
fact that a product and pricing engine
gives them an accurate response up
front, without stringing them along
with false prequals that waste their
time. As a lender’s reputation for reliable
products and pricing increases,
so do repeat business and referrals.
Attracting originators is the first
step towards growth, but lenders are
then faced with the problem of managing
the increased volume. Do you
hire more employees to handle the
throughput, or do you try to squeeze
more productivity out of your existing
staff?
Studies have shown that on a per
loan basis, personnel costs represent
more than 40% of a lender’s overall
expense. Making the decision to hire
additional staff commits the lender to
an increase in fixed costs, which,
given the volatility of today’s market,
is particularly risky. Can enough
volume be sustained to justify the
investment?
On the other hand, making do with
existing staff can result in higher productivity,
but if volume becomes unmanageable,
then lenders risk
overworking employees and lowering
their service quality.
Product and pricing engines can
provide a solution that is essentially
the best of both worlds. Because of its
ability to accurately assess eligibility,
product and pricing engines can effectively
screen for those loans that have
the highest probability of closing.
This means that production pipelines
are concentrated with revenueladen
opportunities, and less staff
resources are spent on rooting out
ineligible loans. Lenders can boost
production capacity because the
product and pricing engine is shouldering
a larger portion of the work,
allowing them to hold off on hiring
new employees, without burdening
existing staff.
The consequence of accurately
identifying eligible loans is a higher
rate of pull-through, as more loans
that reach the production pipeline get
delivered to investors. This is obviously
a benefit to lenders, because it’s
a clear indicator that they are making
the best use of their resources.
But don’t forget that the benefits
of high pull-through also translate
to investors. If lenders are able
to deliver on the majority of their
locks, then investors are wasting
less resources on fall-out deals
themselves. Demonstrating high
pull-through can result in stronger
relationships with investors to the
extent that a higher pricing tier is
given to lenders, allowing them to
be more price-competitive and drive
volume even higher.
In fact, pull-through is a sensitive
issue for investors nowadays. We’ve
seen evidence of lenders losing their
seller status because of low pullthrough
rates, and it is not unusual to
see a simultaneous rise in minimum
pull-through rate requirements from
investors. Given this reality, the value
of a product and pricing engine becomes
even greater.
The argument for a product and pricing
engine is evident throughout a lender’s
business strategy. Higher volume,
efficiency and pull-through are all
reachable goals that can be achieved
through this single technological tool.
But what many lenders don’t realize
is that there is one key element of
a product and pricing engine that will
determine whether this sequence of
events will occur at all: accuracy. A
product and pricing engine must be
able to generate results that accurately
reflect the eligibility and pricing
decisions made at the investor level. Without accuracy, the entire value
proposition is lost.
The accuracy of the decision will
have an obvious and immediate impact
on an originator’s usage of an engine.
If you remember our initial analysis,
originators are looking for the lender
that will give them a definitive answer
in a short amount of time.
If the product and pricing engine
is only capable of returning an
approximate - or even worse - a
completely inaccurate result, then the
originators don’t gain any reliability
or speed benefit. They’re forced into
a traditional manual inquiry process,
which runs counter to the goal of
product and pricing automation.
It also follows that without accurate determinations, a higher percentage
of ineligible loans will enter the
production pipeline. This lowers staff
productivity as more resources are
spent processing loans that are ultimately
denied.
And finally, a lack of accuracy will
deliver a lower rate of pull-through
to investors. Any potential pricing
advantages disappear, and lenders
will be under the gun to improve pullthrough
results or risk losing their
correspondent relationship.
By identifying accuracy as the primary
focus for product and pricing
engine performance, lenders now
have a quantifiable benchmark to
evaluate various vendor offerings.
It’s a good thing, because a simple
Google search will turn up at least a
half-dozen product and pricing technology
vendors - each touting a laundry
list of features and functionality.
The first thing lenders need to look for when evaluating product and pricing engines is the ability to read live credit reports. This is a must-have feature, because credit reports contain a treasure trove of data that is essential for producing accurate eligibility and pricing decisions. A live credit file sourced directly from a
credit vendor also establishes a level of security and reliability that simply cannot be compared to an originator’s estimation.
Other important variables include the overall financial stability of the potential vendor partner, as well as issues like staff training, relationship
with originators and track record of experience and service. This is a longterm relationship. Choose a partner that you know you can count on over the long-haul.
Once credit capability and financial stability have been established, the only concern for lenders is to test the engine and rate its performance for accuracy. This can be done by running a set of credit and loan scenarios through the system that they’re evaluating and comparing the results
with actual investor findings. It should become obvious which engine produces the most accurate results.
In today’s lean environment, lenders need to do what all businesses are doing: eliminate everything that does not make money and focus on the things that do. Product and pricing engines are an elegant solution for lenders, because they target the key problems of low volume and weak profitability.
By giving originators the instantaneous and accurate answers they crave, product and pricing engines create an environment for lenders that stimulates growth, boosts productivity and enhances investor relationships.
It’s important to remember that a product and pricing engine needs to be more than just window dressing on a lender’s Web site. Recognize the
importance of accuracy, and you’ll discover that a product and pricing engine is a powerful origination tool that allows your business to compete more effectively in today’s leaner,
meaner environment.
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