Frequently Asked Questions
Property inspection reports have long provided valuable information
in the underwriting decision-making process. Developed in conjunction
with Millennium Information Services, Fair Isaac’s Property PredictR™ helps
insurers make more consistent insurability and rate assignment decisions.
It objectively correlates loss ratio performance with key risk characteristics
and property maintenance behavior contained in inspection reports.
Q1: Why do insurers use property inspections as part of their underwriting
process?
A1: Property insurance underwriters decide who and what to insure—and
at what rate—based on the risk of potential loss (a house fire,
for example). They consult property inspection reports, credit-based
insurance scores and other sources of underwriting information to help
them make better, more informed decisions. It has been seen for decades
that the key characteristics of an insured property and the way in which
a person maintains his/her property has a bearing on the potential for
future loss.
Q2: Has a correlation between property characteristics/maintenance
and loss ratio
been proven?
A2: Yes. Insurer studies of their own books of business have shown
this relationship over and over again. Through the development of Property
PredictR, Fair Isaac found a clear and significant relationship between
selected property risk characteristics and loss potential. The data
revealed
that those with favorable property risk characteristics filed fewer
claims and cost less to insure.
Q3: Why does Property PredictR score, based on property inspection information,
predict
loss ratio performance?
A3: In general, people who take the time and
make the effort to maintain their own home or rental properties also
have fewer insurable losses.
In addition, certain risk characteristics (e.g., the presence of a
pool or aggressive dog) lend themselves to more and greater losses.
Scoring
technology utilizes the relationship of a set of known outcomes (loss
ratio performance) and corresponding characteristics and attributes
(property inspection factors) to predict the next outcome if similar
characteristics
and attributes are presented. So, Property PredictR merely provides
a statistical summary of certain property inspection characteristics
that
correlate with a range of loss ratio performances, giving an insurer
an objective, and very consistent, tool to assist in their underwriting
efforts.
Most in the industry can clearly see why a correlation exists between
the key characteristics and maintenance of a property risk and a person’s
potential for filing a claim, as property inspection reports have been
shown to be as valuable to the underwriting process as driving records
for automobile policy underwriting and consumer credit information for
all personal lines underwriting.
Q4: Consulting a property inspection for underwriting may
benefit insurance companies, but
how does it help the applicant?
A4: Underwriters use property inspection reports with other underwriting
tools to help separate the higher risks from the majority of their
applicants or policyholders. A property inspection report, while unlikely
to be
the sole determining factor in an underwriting decision, provides pertinent
information that helps insurers detect where their claims will come
from. Insurers need to charge all their policyholders—including the majority
of whom never file a claim—enough to cover the claims they end
up paying.
Part of the underwriter’s job is to determine who is likely to
submit a claim and what rate to charge. In order to make informed decisions,
underwriters consult a number of reports, such as motor vehicle records
for automobile insurance or loss history reports and credit-based insurance
scores for all personal lines policies. Property inspection reports identify
key risk characteristics as well as reflect property maintenance behavior
and are an additional piece of information underwriters can use to ensure
they are treating all their customers fairly. Underwriters should use
property inspection information as a guide and should be allowed to make
underwriting decisions based on all reasonable underwriting evidence
presented.
In reality, most properties are free of undue hazards, and most consumers
properly maintain their properties and are not likely to present an
inordinate number of claims. These “good risks” should not have to pay
higher prices to help insurers cover poorer risks. Consumers stand to
benefit if insurance companies can do a better job of charging according
to risk, making insurance more available and affordable for the majority
of consumers.
Q5: Will Property PredictR be subjected to the same regulatory scrutiny
as credit-based
insurance scores?
A5: Since Property PredictR is derived from property inspection information
that underwriters have used as part of their decision-making for decades,
we do not anticipate unnecessary regulatory scrutiny. While credit-based
insurance scores are based on the same information underwriters have
been consulting since enactment of the federal Fair Credit Reporting
Act in 1970, there remain some in the regulatory community who are
not yet convinced that this type of information is relevant. This is
not
the case with property inspection information, but we are happy to
work with any regulators needing a deeper understanding of the value
of this
information to the industry and consumers alike.
|