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09:47 AM
Shannon Lois, Experian
Shannon Lois, Experian

Basel III Brings Opportunity for Banks to Optimize Assets

Regulatory and audit requirements offer banks an opportunity for a bottom-up approach to credit strategies, which can also be applied to other business processes. Key to this approach is a decision-optimization framework.

These are challenging times for financial institutions. Still feeling the impact of the financial crisis, the industry endures increased oversight, declining margins, and fierce competition -- all in a lackluster economy. Large Bank Holding Companies (BHCs) are subject to closer regulatory scrutiny.

As part of the oversight, the Federal Reserve Board (FRB) conducts annual assessments, including "stress tests," of the capital planning processes of BHCs to ensure that these institutions can continue operations in the event of economic distress. The Fed expects banks to have credible plans showing that they have adequate capital to continue to lend, even under adverse economic conditions. In addition, the Basel accords suggest safeguards to ensure banks are not overly leveraged.

Between meeting the requirements of Basel III and the Federal Reserve's Comprehensive Capital Analysis and Review (CCAR), institutions commit sizeable resources to tasks that offer few quantifiable returns. Nevertheless -- in addition to ensuring they don't discover themselves in a trillion-dollar hole -- audit responsibilities offer an opportunity for a bottom-up approach to credit strategies, which can also be applied to other business processes.

Basel III advises banks to measure credit risk: "Banks should have methodologies that enable them to assess the credit risk involved in exposures to individual borrowers or counterparties as well as at the portfolio level," reads Paragraph 733 of the Basel text. Sounds reasonable, and a bit self-evident; banks should be able to assess their credit risk -- whether Basel mandates it or not.

Optimizing Assets

In response to the challenges of CCAR and Basel, many institutions are choosing to restructure their businesses to meet compliance requirements. Some banks may move away from certain business lines in response to the new capital requirements. For example, a retail bank may shed an investment banking unit, or increase retail lending, while decreasing corporate lending. These moves are taken toward the goal of optimizing a bank's risk-weighted assets (RWA) and use of capital, as these "RWA Optimization Strategies" may minimize regulatory impact.

While some banks follow this approach to optimizing their RWA, a case can also be made for a bottom-up approach, one that focuses on operational processes like credit rules, thereby driving value from existing portfolios. For example, improved customer screening to accept or reject applicants, applying finely-grained pricing limits based on credit data, or matching actual risk with expected or forecast risk.

Decision Optimization

Because each strategy shift or operational change has consequences to multiple interconnected processes, it becomes imperative to test prospective moves before putting them into place. Every decision can have far-reaching consequences. A decision-optimization framework is essential to enhancing credit strategies. This requires data analytics, optimization software, and a consistent decision engine that can be customized for specific variables, tested and modified so that it becomes self-learning over time.

Notably, few processes operate in a vacuum; addressing credit rules, policies and processes impacts every department. The interaction between strategic decisions and operational processes has an exponential effect on both processes and profit. For example, credit decisions made in the front office must align with the operational systems and processes of the back office.

A decision optimization framework allows an organization to test which strategy best aligns with its goals and risk tolerances. How much can prices increase before losing customers? At what point does the increased price outweigh that lost business, and when does it still make sense?

In one testing exercise, Experian applied portfolio data, variable offers, rules and decision options to an optimization engine. The intent of this testing was to evaluate how likely loan offers would be accepted or rejected, and the ultimate effect of long-term profit. The results indicate that an organization can increase its booked loan amount while increasing the value of its loan portfolio.

Strategic decisions, such as which business line to pursue or where a financial institution should locate, are made based on clear goals and expectations for risk and reward, not clouded by regulatory mandates. These choices do not come easily. And because they so heavily impact a bank's profitability -- and its reputation -- any credit strategy decisions should be tested prior to implementation.

Stress testing offers an opportunity to drive more value from existing operations, customers and profits. Capital is enhanced (and thereby further satisfying the demands of CCAR and Basel) without sacrificing growth potential or competitiveness. So if a bank is already compelled to put its capital assets and resiliency to the test for Basel III, doesn't it also make sense to conduct testing that might find operational deficiencies and profit opportunities?

Shannon Lois is the Vice President of Consulting for Experian's Decision Analytics' Global Consulting Practice.

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