In
any market, including the market for financial products, we expect that
consumers read and understand disclosures about products, weigh the
costs and benefits, and make an informed choice regarding purchase.
Financial firms, however, respond to disclosure requirements by showing
customers large quantities of paper full of jargon. Disclosures become
obfuscated, and product features, terms and conditions, hard to
decipher. There is also an information overload. Even highly
financially literate customers find it difficult to read and
understand what is on offer. They make decisions that they often come
to regret as product outcomes unfold. Firms claim that customers had
signed off on having understood all terms and conditions, leaving
little recourse to customers.
In this context, a 2015 Ministry of
Finance Committee set up to, 'Recommend Measures for Curbing
Mis-selling and Rationalising Distribution Incentives in Financial
Products'(also known as the Bose Committee) made several recommendations on improving product disclosures.
Many regulators in India have continuously made changes to their
disclosure regulations in order to improve consumer protection outcomes.
One would find it hard to argue that disclosures shouldn't be
better designed. The devil is, however, in the details. How do we design
effective disclosures? Even if disclosures are made simple, would
consumers pay attention to them? Would they change behaviour because of
the disclosures? How have customers reacted to changes in disclosure
regulations? What have we learned about what kinds of disclosures would
have the desired effect? What more do we need to understand? How does
this shape our thinking about financial regulation?
In a recent paper, Regulating consumer finance: Do disclosures matter? The case of life insurance, we use a sample-survey based experiment to understand the effect of simplified disclosures on an endowment insurance product.
We
chose an endowment insurance product as this is a composite product
that bundles insurance and investment, that often has a detrimental
impact on potential returns which customers may not be aware of. Product
brochures also showcase returns not on the amount invested, but on sum
assured, making it difficult for customers to decode the real costs and
benefits of the policy. This product has some of the most opaque
disclosures as compared to other financial products in the market such
as mutual funds, pension funds and small saving products such as the
Public Provident Fund, or the National Savings Certificates.
Experimental design and results
We conducted household surveys in the cities of Mumbai and Delhi. The survey captured demographic and socio-economic details of the respondent such as age, gender, marital status, education, occupation, and household income. It also asked questions on attitudes to risk, retirement, basic questions on financial literacy, and prior purchase of insurance.
We then offered customers a product brochure which
consists of an investment of INR 50,000 a year for 5 years, with a tax
break on income, and tax-free returns, INR 500,000 life insurance cover
for 15 years, and regular money back across the life of the policy.
We
randomised survey respondents into one of four product advertisements
(Treatments): 1) a baseline product with no additional disclosure, 2)
disclosure of the actual rate of return on the product, 3) disclosure of
the rate of return and a benchmark return of a similar product, namely
the Public Provident Fund (PPF), and 4) the rate of return, benchmark
return and product features of a more cost-effective competing term
insurance product.
We then asked respondents: did they think that
the product was a "good" product? Would they consider purchasing this
product? If not, why not?
We chose these disclosures because when
a customer buys a financial product, she must look at several
attributes. The most easily understood attribute is returns. But
bench-marking those returns to an industry standard, comparing to an
alternate investment and mapping real return are some of the key
determinants to rational consumer choice. Investors, should ideally,
look for and use all these metrics of information. Our treatments,
therefore, progressively added information on these attributes to map
the impact on potential buyers. We expected approval rates for the
products to drop drastically for those in Treatment 4 over Treatment 1.
Our results can be summarised as follows:
-
The group which saw the disclosure related to the rate of return on the
insurance product (Treatment 2), was 2.6 percentage points less
likely to think that the product on offer was a 'good' product relative
to the group that saw the baseline product with no additional
disclosure.
- Treatments which show additional data such as a comparison
rate of return, or the price of a term insurance plan had no effect
relative to Treatment 1, which had no additional disclosures.
- Those with a higher score of financial literacy, and greater
concerns about retirement react to the disclosure only in Treatment
2. Surprisingly, non-purchase of insurance in the past matters for
effectiveness on product perception.
- None of the treatments had an impact on the intention to purchase.
When respondents were given more than one piece of
information, such as the rate of return plus benchmark, or the rate of
return plus the benchmark plus the price of a pure risk product, they
seem to have tuned out. Disclosures appear to work only when it is
about a product feature customers know and understand. The concept of
returns is something most people understand, and hence they are able to
digest it quickly. Basic financial numeracy and retirement preparedness
help towards recognising the returns disclosure but not much else.
Conclusion
Conclusion
The results of this experiment were contrary to our expectations that clear disclosures will change investor perception. The only disclosure that was read and understood by customers was that of returns. This suggests that for disclosures to have any effect, customers need to have a minimal understanding of the product features that are being disclosed.
These
results make us pause about the role of disclosures in consumer
protection regulations in finance. It is tempting to require financial
firms to keep improving their disclosures. But if disclosure regulations are not based on sound research of what really works, then we are imposing an unnecessary burden on financial firms, and ultimately consumers.
What
we need is a continuous and systematic process of design and evaluation
of disclosures. This requires thinking on what makes a good disclosure,
and whether the disclosure is having the desired effect. In parallel,
we must think about other measures that can improve customer's ability
to understand the various disclosures. For example, it would be
insightful to evaluate if after some basic financial literacy training
on what makes a good financial product, buyers are better able to
understand disclosures, and make more informed choices.
(This post is co-authored with Monika Halan. It first appeared on Ajay Shah's blog, 12 November, 2017)
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