The emergence of better risk-return and capital management techniques has
been a big step forward for the banking industry. It is a positive signal that
financial institutions are thinking more about which are the kinds of activities
that they are willing to undertake in this regard. Institutions are also now
increasingly cognizant of the risks, which are associated with various
activities. Accordingly, many institutions are beginning to allocate capital on
a risk-adjusted basis instead of relying on simplistic measures such as the
return on assets or the return on the book value of equity. By improving the
capital allocation process it is possible that the returns earned on that
capital might improve. Correspondingly, risk, return, and capital management
techniques are becoming increasingly complex with institutions and regulators
facing an uphill battle in keeping pace with new developments. In spite of this
challenge, it is paramount that institutions fully understand the models in
place and, most importantly, are able to use these in managing their business.
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The industry is currently at an important turning point in the development of
risk-return measurement and capital allocation models. This has to do with the
fact that management behavior, in recent times, has tended to be driven, to a
much larger degree, by return on equity and the creation of shareholder value.
In turn, this has led to a much greater emphasis on capital management as well
as to the development of sophisticated profitability, risk and capital
allocation models in an integrated performance measurement framework.The focus
of management in any organization, including financial institutions, is the
maximization of the risk-adjusted returns that shareholders receive on their
equity investments. Faced with this objective, banks have two choices:
- They can increase the amount of return per rupee of equity, or
- They can decrease the amount of equity required per rupee of target
return.
Essentially, the target return is driven by market expectations. Exceeding
the market’s expectations will result in an increase in shareholder value,
whereas failing to meet those expectations will result in a destruction of
value. Although not ‘rocket science’, until recently this focus on return
was surprisingly absent from the boardrooms of most banks.
Capital allocation
At the simplest level, the role of capital in any company is to provide
creditor protection. This requires that the company’s assets exceed its
liabilities such that the company is solvent. For a bank, the role of capital is
to act as a buffer against future unidentified losses, thereby protecting
depositors. Hence, the amount of capital held must cover both ‘normal’ or
expected losses, as well as unexpected or improbable losses, whilst leaving the
institution capable of operating at the same level of capacity.
While this simple rule is well established, determining the amount of capital
to set aside is complex. With the introduction of Basel II accord it will become
even more complex but provide substantial benefits as the accord deliberately
builds in rewards for stronger and more accurate risk measurement. In short,
there is no magic formula to determining the appropriate amount of capital that
a financial institution should hold. In a dynamic capital allocation process the
allocation of capital and the measurement of performance are necessarily
inter-twined. This requires that a direct link be established between return on
capital measures and the performance-related remuneration of individuals within
the institution. Hence, at the heart of all performance measurement frameworks,
regardless of their complexity, is a comparison of returns against some measure
of capital. Traditionally, these capital measures have not been adjusted for
risk. In fact, until quite recently when comparing the performance of two
business areas, banks would divide the return earned by each activity by the
rupee amount of physical capital invested. Of course, comparing performance on
the basis of return alone is like comparing apples with oranges, in that it
ignores the all too important influence of risk.
Risk-adjusted management
Clearly, high returns may simply result from investing in risky assets. If
individuals are to be remunerated on the basis of performance the return that is
generated per unit of risk assumed should form the basis of the performance
assessment, rather than return alone. It is important to give sufficient regard
to the term ‘risk adjusted performance management’, or RAPM, which has
become a widely used buzzword in the banking industry of late. Although there
are many different methodologies, all RAPM techniques share the same underlying
idea: return is compared against allocated capital by adopting some form of risk
adjustment based on the institution’s assessment of exposure in the business
that is undertaken. Regardless of the degree of sophistication of the
performance management technique used, the sensible allocation of capital must
be superior to an approach that leaves this to chance. Even using simple risk
weights of the regulatory framework as a base will produce superior returns to a
strategy based on balance sheet amounts, as some measure of risk is incorporated
into the assessment–some adjustment for risk is better than no adjustment.
Do you have the capability?
Before the RAPM framework can be implemented, financial institutions need to
resolve a number of significant issues. Today, data about the customer and the
customers business with the financial institution is fragmented into many
core-banking systems. The quality of the data is suspect, as many of the fields
are not used in the day-to-day customer sales/service activities. The problem
hasn’t been helped by the fact that even within institutions, useful data has
not been captured or stored. Many institutions have not begun warehousing the
requisite data in a repository that is designed to support the RAPM framework.
The future…
Looking ahead, once a performance management framework has been agreed upon,
the focus of the institutions can quickly shift to the capture of the
appropriate data and implementation of the appropriate models to measure and
manage all the different parts of the business. This is the ability to ‘slice
and dice’ cost and revenue by organization unit, branch, product and customer
and then allocate capital on a risk-adjusted basis to businesses that add value.
Indeed, many financial institutions are already doing this today with a
comprehensive suite of applications, data model to capture the detail data and
the technology.
Shekhar Dasgupta
The author is managing director of Oracle India.