Credit Scoring Insurance
If they set rates too low they will lose money. This continuous search for accuracy is good for consumers as well as insurance companies.
The majority of consumers benefit because they are not subsidizing people
who are worse insurance risks people who are more likely to file claims than
they are.
The computerization of data has brought more accuracy, speed and efficiency to businesses of all kinds.
In the insurance arena, credit information has
been used for decades to help underwriters decide whether to accept or reject
applications for insurance.
New advances in information technology have led to
the development of insurance scores, which enable insurers to better assess the
risk of future claims.
An insurance score is a numerical ranking based on a person’s credit history.
Actuarial studies show that how a person manages his or her financial affairs,
which is what an insurance score indicates, is a good predictor of insurance
claims.
Insurance scores are used to help insurers differentiate between lower
and higher insurance risks and thus charge a premium equal to the risk they are
assuming. Statistically, people who have a poor insurance score are more likely
to file a claim.
Insurance scores do not include data on race or income because insurers do
not collect this information from applicants for insurance.
The Poor Economy Has Not Had a Negative Impact on Credit Scores:
According to an April 2009 Property Casualty Insurers of America (PCI) release,
the recent economic downturn did not have the negative effect on credit scores
that some people predicted.
Major consumer credit reporting agencies such
as Fair Isaac and TransUnion have reported that average scores remain steady
or have improved, possibly because consumers are saving more and paying
off debt. Despite the economy and credit crisis, no state has made regulatory
changes to insurers’ use of insurance scores, PCI notes.
Federal Activities: The Federal Trade Commission (FTC) has asked nine of
the largest homeowners insurance companies to provide information that it says
will allow it to determine how consumer credit data are used by the companies
in underwriting and rate setting.
The Fair and Accurate Credit Transactions Act,
passed in 2003, directed the FTC to consult with the Office of Fair Housing and Equal Opportunity on how the use of credit information may affect the availability and affordability of property/casualty insurance, whether the use of certain factors by credit scoring systems could have a disparate impact on minorities and, if so, whether the computer models used could be modified to produce
comparable results with less negative impact.
The study is expected to be finalized sometime 2010.
In a similar study, the FTC found that auto insurers’ use of insurance credit
scores leads to more accurate underwriting of auto insurance policies in that
there is a correlation between insurance scores and the likelihood of filing an
insurance claim.
The FTC report, Credit-Based Insurance Scores: Impacts on
Consumers of Automobile Insurance, released in July 2007, also states that
credit scores cannot easily be used as a proxy for race and ethnic origin.
In other
words, credit scoring predicted risk for members of minority groups in much the
same way that it predicted risk for members of nonminority groups.
The Fair and Accurate Credit Transaction Act of 2003 directed the FTC to
address the issue of whether the use of credit had a disparate impact on the
availability and affordability of insurance for minorities.
Based on a poll of consumers, the General Accountability Office has recommended that the Treasury
and FTC take steps to improve consumers’ understanding of credit scoring and
how credit histories are used, targeting in particular those with less education
and less experience in obtaining credit.
The Federal Reserve also studied the use of credit scoring. Although looking
at credit scoring to quantify risk posed by a borrower rather than an applicant
for insurance or a policyholder, the Federal Reserve said in a report issued at the
end of August 2007 that credit scores were predictive of credit risk and were not
proxies or substitutes for race ethnicity or gender, underscoring the FTC study.
Insurance Scores: Insurance scores are confidential rankings based on credit
history information. They are a measure of how a person manages his or her
financial affairs. People who manage their finances well tend to also manage
other important aspects of their lives responsibly, such as driving a car.
Combined with factors such as geographical area, previous crashes, age and gender,
insurance scores enable auto insurers to price more accurately, so that people
less likely to file a claim pay less for their insurance than people who are more
likely to file a claim.
For homeowners insurance, insurers use other factors combined with credit such as the home’s construction, location and proximity to
water supplies for fighting fires.
Insurance scores predict the average claim behavior of a group of people
with essentially the same credit history.
A good score is typically above 760 and a bad score is below 600. People with low insurance scores tend to file more
claims. But there are exceptions.
Within that group, there may be individuals
who have stellar driving records and have never filed a claim just as there are
teenager drivers who have never had a crash although teenagers as a group have
more accidents than people in other age groups.
Credit Report Information Who Wants It? It is becoming increasingly
important to have an acceptable credit record. Whether we like it or not, society
equates the ability to manage credit responsibly with responsible behavior, even
if individuals have a bad credit record through no fault of their own.
Landlords
often look at applicants’ credit records before renting apartments to see whether
they manage their finances responsibly and are therefore likely to pay their rent
on time. Banks and other lenders look at the credit records of loan applicants to
find out whether they are likely to have loans repaid.
Some employers also look
at credit records, especially where employees handle money, and view a good
credit record as a measure of maturity and stability.
In some insurance companies, underwriters have long used credit records
in cases where additional information was needed.
Before the development of
automated scoring systems, underwriters would look at the data and make decisions, often erring on the overly cautious side that disadvantaged many more
people.
Automated insurance scoring and underwriting systems eliminate the
weaknesses inherent in someone’s personal judgment and have allowed more
drivers to be placed in preferred and standard rating classifications, saving them
money.
With the development of these scoring models, the use of credit-related
information in underwriting and rating for many insurers has become routine.
Insurers use insurance scores to different extents and in different ways. Most use
them to screen new applicants for insurance and price new business.
Why Insurers Need It: Insurers need to be able to assess the risk of loss the
possibility that a driver or a homeowner will have an accident and file a claim in order to decide whether to insure that individual and what rate to set for the
coverage provided.
The more accurate the information, the closer the insurance
company can come to making appropriate decisions. Where information is
insufficient, applicants for insurance may be placed in the wrong risk classification.
That means that some good drivers will pay more than they should for
coverage and some bad drivers will pay less than they should. The insurance
company will probably collect enough premiums between the two groups to
pay claims and expenses, but the good drivers will be subsidizing the bad.
By law in every state, insurers are prohibited from setting rates that unfairly discriminate against any individual. But the underwriting and rating processes
are geared specifically to differentiate good risks from bad risks.
Since insurance
is a business, insurers favor those applicants that are least likely to suffer a loss.
One of the key competitive aspects of the personal lines insurance business is
the ability to segment risks and price policies accurately according to the likely
cost of claims generated by those policies. Insurance scores help insurers accomplish these objectives.
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