FICO is an acronym for Fair Isaac Corporation (traded publicly
under the symbol FIC) and usually refers to the best known credit
score system in the United States which is calculated
using different mathematical formulae developed by this company.
This score is one of the most important factors in obtaining credit
in the United States of America and demarcates you into categories
fit to receive good or bad credit treatment. In institutions which
use scores as the primary factor in their lending decisions, scores
below certain numbers which is usually set by each lender's risk
management department, may result in denial of credit or the credit
being offered at a higher interest rate.
The three major credit reporting agencies in the United States of
America, namely Equifax, Experian and Trans Union, calculate their
own FICO scores, which go by different trademark names as well as
many different versions of the score, and these often differ because
of what they are meant to predict and when they were written
originally. For instance, Beacon, Beacon 96 and the Pinnacle are
available only from Equifax; Empirica Auto 95 Precision Score and
Precision 03 available only at Trans Union, and Fair Isaac Risk
Score available only at Experian. These versions which were all
developed for the respective agencies by Fair Isaac, differ from one
another and are updated periodically to include changes and reflect
the consumer's current repayment behavior. The NextGen scores are
the most recent addition to the list of scores, but creditors vary
in terms of their choice version that they prefer to use.
These scores often use a multiple scorecard design. Each version
uses 10 or more individual scorecards, and each of these individual
scorecards are generally compared with similar others. For instance,
a borrower with two one month old late payments will be scored
against a population with a few minor delinquencies. The individual
in question is then graded according to the variables that seem to
indicate a repayment risk in that group. This feature can cause a
borrower with delinquencies to score in the same range as a borrower
without any delinquencies.
It is worth mentioning that each of these credit reporting
agencies have also developed their own separate proprietary versions
of a credit score that is intended to compete with Fair Isaac's
score. Although not as popularly used, these scores like Trans
Union's TransRisk score or Experian's ScoreX score are less
expensive than the FICO score and, in certain situations, may
predict the risk level of a prospective borrower more accurately.
The cost savings of a non-FICO score are found to be tempting to
some banks and credit card companies, who desperately need an
accurate risk assessment on millions of accounts every year. Only
time will tell whether these alternative scores will ever manage to
displace Fair Isaac from its dominant position in the U.S. market
when it comes to credit scores.
Almost all large banks also have a practice of building and using
their own proprietary statistical models for credit scoring
purposes, often in conjunction with the FICO score or other outside
scores. The statistical models that generate credit scores are most
often subject to regulations as laid down by the federal government.
The Federal Reserve Board's Regulation B, which implements the Equal
Credit Opportunity Act, explicitly prohibits a credit scoring model
from considering any prohibited basis such as race, religion,
national origin, color, sex, or marital status for the calculation
of the same. Regulation B also dictates that credit scoring models
need to be empirically derived and statistically sound. Moreover, if
any adverse action needs to be taken as a result of the credit
score, for example if an individual's application for credit is
denied, then specific reasons for the denial must mandatorily be
provided to the individual.
A simple statement that the individual failed to score high
enough is insufficient; the reasons must necessarily be specific and
detailed.
There are several generally accepted algorithms that exist for
extracting the primary contributing factors to a low credit score.
One or more of these algorithms are normally used to supply a list
of reasons in the event that a loan applicant has been denied
credit, in order to satisfy the Regulation B requirement that
specific reasons are disclosed. Some consumers feel these adverse
action reasons are somewhat insincere, as the only determining
factor for credit denials is a numeric score and the reasons are
summed up only for the consumer.
As we have already seen, each credit bureau also has one or more
of its own generic credit scores, available both to consumers on
their websites as well as lenders. For ease of use, these scores are
usually mathematically scaled so that they fall in the same general
range as the FICO score. These scores are used by some businesses to
assess credit-worthiness in the absence of which they would not be
offered; however the FICO score continues to be the dominant score
in use today. Fair Isaac currently offers scoring models for the
U.S.A., Canada, and South Africa. It also offers a "Global FICO" for
many other countries across the world.