This
article is a study of the current approach of determination of
creditworthiness, the missing chinks in its armor and explores solutions that could be
popular in the future.
The need of a Credit Score
In
the loans industry, creditworthiness of the borrower is of prime importance to
the lender. In simple terms, the lender always worries whether the money lent
will come back, along with the cover up for all costs of disbursal and lastly
earn a little bit of margin. All these factors are together termed as ‘risk’ in
the lender’s eyes. The more the risk, the more ‘costly’ it is to recover the
money, and thus higher the interest rate on the loan. In an industry with cut
throat competition, where there are several players, each basis point matters.
And from the borrower’s perspective, the ‘safe’ borrowers or the ones who will
surely return the money along with due interest, consider themselves ‘less
risky’ and thus, demand low interest rates. And since it is difficult to
identify who is risky and who isn’t, it represents the classic Lemon’s problem.
Thus the solution is to call for a numeric figure: a simple credit score
determining credit worthiness. Just like your kid’s scorecard determining her
performance at school. Except that, credit scores are not that simple!
How is this Score calculated
The
FICO score, popularly used in the US comprises of five major factors:
Source: Wells
Fargo
In
India, the Credit Information Bureau (India) Limited (CIBIL) providing the CIBIL
score is the most popular in the loan market. In 2000 some of the now-partner banks
decided to come together to form an independent organization, CIBIL that would
generate a credit score for determining credit worthiness of individuals and
organizations.
The Issues with this
approach
While
this traditional approach gives a fair accuracy, there are certain concerns
related to it. For starters, the CIBIL considers past history of payments made
and decided if a person is credit worthy. As per the Credit Information
Companies (Regulation) Act, 2005 governing Credit Information Companies, all
accounts irrespective of their status (both Good Standing and Delinquent
accounts) have to be maintained for a minimum period of 7 years from the date
the account was last reported. Now 7 years is a long, long time in this
fast-paced world. Take for example a friend of mine. About 5 years ago, he had
missed a small credit card payment of approx Rs. 500, and CIBIL score naturally
got a big hit. He laments, “My salary has almost tripled in the past 5 years
and I have jumped 2 levels of promotion, but I cannot get a car loan of 5 lacs
due to that one error!”
Also, every year a staggering 8.7% of India’s 1.25 Billion
population enter the workforce (Source: Government
Census). This number is only going to grow in the coming years: both in
base population number and percentage. This means that every year, there is a
huge number of people who are without a credit history. Essentially, the Credit
Institutions (CIs) who rely heavily on CIBIL and do not process loans or credit
cards without a history, miss out heavily on this opportunity.
Further,
there a number of other issues like dependence of the banks to update the CIBIL
history of each individual correctly, at specific time intervals. Any
discrepancy with the score needs to be taken up by the individual, who needs to
be aware of the procedure and steps. And one actually realizes that there may
be discrepancies only at the time of need of credit; the resolution of which
could take longer than the time of the need. Also, CIBIL essentially hugely
assumes that credit behavior will not change throughout the life of an
individual, or at least for the next 7 years, which is debatable.
The Solution
In
the age of ecommerce and Big Data, a combination of a lot of information can
replicate a typical creditworthiness score like Cibil. Along with that,
qualitative factors like how one spends one’s income, what percentage of that
comprises of savings, what percentage of savings go into risky investments are
better indicators of whether the individual will actually return the borrowed
amount on time.
For
individuals newly entering into the workforce, a few indicators are education,
job, peer group, etc. which can be easily and smartly verified by social
networking media like Facebook, LinkedIn and Twitter. People are generally
truthful about their backgrounds on social media rather than a loan application
form, because of the social stigma associated with it. It is the same stigma
that works for lending in rural areas, where there is no concept of a credit
score. In a way, this approach is more traditional, with thorough background
checks in rural places, where the moneylender essentially knows the whole
village!
Further,
with increase in digital wallets and in number and scale of online
transactions, it is very easy to track all expenses for an individual. The
government-backed RuPay scheme and financial inclusion plans will only enrich
the information already available, in both, quantity and quality. There is a lot
of data on how and where expenses are made, for decision making not just on
creditworthiness, but also for several other things like insurance.
Most
of this data acts as a surrogate of a credit score, when it is not easily
available & for quick decision making. While such an idea is still in its
nascent stage and will require regressions with the actual score, with high
accuracies, it can certainly be used along with a credit score for faster &
more relevant decisioning. In the future, the combination can ultimately solve
the lemons problem in the lending industry, and strengthen the concept of
discriminatory pricing in terms of interest rates offered, leading to maximum
efficiency.
There
is a potential opportunity in this domain to be explored. A lot is already
being done by innovative P2P lending firms, online marketplaces like RupeePower
and BankBazaar and even in micro-lending, and a lot more can be done. It would
be interesting to observe how these organizations transform in the future, and
bring disruptive changes to the financial industry!