Is Your Loan Portfolio Really Diversified?

Article excerpt

A key lesson that lenders learned during the 1980s is that active and careful portfolio management is crucial to credit policy.

Furthermore, as the course of the economy is always uncertain, diversification of the loan portfolio is necessary to safeguard lending performance.

But assessing the diversification of a loan portfolio presents difficulties.

A key problem is risk covariance -- the tendency of different segments of a portfolio to behave similarly in response to economic events. This can make a seemingly well-diversified portfolio highly vulnerable to a particular event, rendering it poorly diversified in reality.

Reasons for Covariance

The most obvious source of risk covariance relates to regional economic interdependencies.

The power of regional covariance was dramatically illustrated in the Texas debacle of the mid-1980s, when the collapse of the energy sector triggered widespread difficulties in others.

All industries with principally local markets were adversely affected, including retail, services, and real estate. As a consequence, even banks with modest direct exposure to the energy sector were vulnerable to the oil price shock.

Banks with a national lending scope can also fall victim to shared risks if their loan portfolios contain concentrations in industries that are vulnerable to the same economic shocks.

For example, a major West Coast bank's difficulties during the early and mid-1980s largely resulted from industry positions -- in real estate, agriculture, energy and shipping - that were all vulnerable to disinflation.

Although the portfolio was geographically diversified and contained no single overwhelming industry concentration, the bank was devastated.

Hidden Connections

Mindful of such dangers and responding to regulatory pressure, banks are now seeking ways to identify and manage risk covariance. The potential benefits include more-stable earnings and higher stock prices.

Covariant risks are often hidden from casual scrutiny, so the analytical approach chosen must be powerful enough to identify all significant sources of risk.

The framework must produce information that motivated tactical and strategic actions, integrating the process of making transaction decisions with the broader goals of portfolio management.

Furthermore, past relationships will not necessarily hold in the future; therefore, an effective approach must be predictive.

The major methods employed to date to assess the covariant risks embedded in a loan portfolio fall into three classes: historical correlations, economic structure analysis, and simulation-based approaches.

Each of these methods possess virtues as well as drawbacks and can provide valuable insights. But historical correlations and structure analysis are more limited.

Analyzing the Past

The historical tendency of different sectors to behave similarly can be measured with correlation analysis.

For each segment, correlation coefficients are calculated using some historically available proxy for the credit risk. …