Enterprise Risk—What's Up with That?

October 2000

The key idea behind enterprise risk management (ERM) is to systematically identify the significant risks faced by a company. ERM represents a very exciting opportunity for insurers to create new markets for their products, if they can handle the challenging new exposures. This article explains ERM and examines its relationship with insurance.

by Brent Clark
Strategic Risk Solutions

There has been a lot interest lately in the concept of enterprise risk management (ERM). The key idea is to systematically identify the significant risks faced by a company. (One consulting firm has developed a list of 79 risks to use as a guide in its enterprise risk consulting practice.)

The explicit recognition of risk helps a company manage its success by avoiding mistakes and pitfalls. Understanding the company's risks often results in gaining a deeper understanding of important strategic factors, which again contributes to corporate success.

As in sports and law, the key to a good offense is often a good defense. It also helps serve as a guide to the optimum capital structure of the firm by providing a more refined view of the debt/equity ratio question.

In an effort to carry the notion of enterprise risk management forward, companies have begun to appoint chief risk officers (CROs). These individuals are charged with developing a comprehensive view of the company's key risks and helping the company develop and implement appropriate risk management techniques.

Banks Led the Way

The CRO role has grown out of the risk management functions that are maintained in large financial institutions. In these institutions, the term "risk management" has had little to do with insurance or hazard risk. It originally addressed the management of financial market risk associated with the institution's trading operations, although over the years it has broadened to include operating risk and, more recently, hazard risk.

After the banking and savings and loan (S&L) crises of the 1980s, banks began to search for ways to manage risk in a more systematic way. Banks are highly leveraged operations. They finance their purchase of assets, whether those assets are loans or bonds, with borrowed money. The borrowed money comes from deposits, notes issued by the bank, repurchase agreements, commercial paper, etc.

In fact, the major culprit in the 1980s was a failure by the banks and the S&Ls to properly match their assets and liabilities (i.e., their funds borrowed to finance the assets they held). Many assets were fixed assets with long maturates, but these assets were financed with short-term borrowing. After interest rates for deposits were deregulated, a spiral in interest rates in the 1970s and 1980s drove the cost of borrowing dramatically higher than the yield being generated by the assets (in the case of the S&Ls, mortgages). The crisis that ensued became a powerful motivator for the surviving financial institutions to find better, more reliable ways to mange interest rate risk.

Note that the current standards for a "well-capitalized" bank require only that the bank have equity equal to 8 percent of it assets. What that means is that the bank borrows an amount equal to 92 percent of its assets or, mathematically, almost 12 times its equity capital. Thus, if left unhedged, a 10 percent drop in the overall value of its assets would render the bank broke. In fact, most banks seek ways to earn spreads from hedged or matched positions, and to otherwise carefully control unhedged exposure, as when bond dealers purchase interest rate futures to hedge overnight positions in their bond inventories.

Because of this degree of leverage, the banks have developed sophisticated concepts for managing risk. The heart of these systems is processes for allocating "risk adjusted capital" to the bank's activities. Typically, the capital allocated, sometimes referred to as "value at risk," is based on an assessment of the potential price volatility of the asset computed to a high level of statistical confidence, usually 95 to 98 percent. The idea is to have enough capital set aside to maintain a cushion against the foreseeable price volatility of the asset. (Note that this is closely related the idea of equity capital as risk capital that I discussed in my previous article, "Corporate Risk Finance and the 'Internal Economy' of a Company."

Banks use these capital allocation models to drive transaction selection and pricing decisions. The general rule is that each transaction must deliver an acceptable return on the allocated capital. This is a little different than the approach suggested by classical financial management doctrine, where a higher rate of return is required for riskier transactions. Rather than vary the hurdle rate, the banks vary the amount of allocated capital. The result is essentially the same--riskier investments require more profit, but the method of calculation is different. The more sophisticated banks set the required rate of return on risk-adjusted capital at 25 percent or more.

One interesting question is how do banks generate 25 percent returns when they buy treasury bonds yielding 5 percent? The answer is that it's a combination of leverage and hedging. As to leverage, remember that if you are leveraged 12-to-1, a half-percent change in price translates to a 6 percent gain. More interesting is the effect of hedging. A hedged position attracts little or no allocated capital; thus, any net profit on the position can generate a nearly infinite return.

What's All This Have To Do with Enterprise Risk Management?

The main connection is that the people who are being given the chief risk officer title typically come from this banking industry brand of risk management. Furthermore, the concepts of value at risk and risk-adjusted return on capital are the essential concepts of enterprise risk management. The CROs, and the chief financial officers to whom they typically report, are more familiar and comfortable with this method of viewing risk than they are with the language and concepts of the insurance industry. Yet, hazard risk (and other "insurable risks") is correctly viewed as just another form of risk. Also, insurance itself is viewed as a useful risk financing technique, not only for traditional risks but potentially for other operating or enterprise risks of the company as well.

This means that to be effective, practitioners of the insurance industry brand of risk management must learn to understand the vocabulary of financial risk management and be able to discuss hazard risk and insurance in those terms.

Enterprise Risk, Multiline Insurance, and Portfolio Effects

Another aspect of the ERM movement has been efforts directed at standardizing the ways risk is quantified and analyzed. The trend is to express risk measurement using a mixture of statistics, corporate finance, and capital market concepts. Even concepts from insurance play a role, but mostly, it is insurance that is being forced to adapt to a new language rather than vice versa.

An important question for many readers of this article is how insurance fits into the world of enterprise risk management. One trend is that insurers are seeking to broaden the range of risks that can be handled by insurance, moving beyond traditional accident or hazard risk to financial, operating, and even business risk. Another trend is the design of insurance programs that cover a variety of risks, sometimes combining traditional insurance risks with nontraditional risks. Here, the idea is that the combination of different and largely uncorrelated risks into one insurance contract creates a portfolio effect, affording the opportunity for the insured to purchase broader coverage for less money (more on this shortly).

Thus, there are two main questions for the field of insurance in connection with ERM.

  1. The extent to which insurance can be used to finance nontraditional risk, and
  2. Whether the combination of diverse risk within a single insurance policy adds value.

As to the second question, the combination of diverse risks into a single policy has potential benefits arising from something known as portfolio effect. Portfolio effect arises from the statistical principal that the joint probability of two unrelated events occurring is less than the sum of the individual probabilities of either event occurring. It is the concept of diversification--i.e., the risk of holding a portfolio of risks (e.g., investments) has less overall risk than holding a single risk.

It has been posited that an insurance contract which bundles a diverse portfolio of risk creates better value for the insured because, among other things, it presents the insured with a prepackaged diversified basket of risk. From the insurer's point of view, the fact that the portfolio has less risk than the individual risks should mean that the insurer can safely charge less premium, making the policy a win-win for both the insurer and the insured.

Unfortunately, there are a couple flaws in this reasoning. The first arises from the misconception that the portfolio effect changes the expected value of the portfolio (expected value means the "average" outcome). It does not. The expected value of a portfolio of independent risks is the sum of the expected values for each individual risk. What changes is the volatility of the overall portfolio. That is to say, as you add more risks to the portfolio, it becomes increasingly likely that the actual outcome will be closer to the expected outcome.

This portfolio effect would only justify a reduction in insurance premium if the insurer relied on diversification with the particular insurance contract to determine its loads for volatility (risk of variability of outcome). In fact, insurers already hold a diversified portfolio of risk, so that the risk presented by a single policy does not have to offer an internally diversified portfolio. Thus, the insurer can offer a premium that reflects the expected value, with a volatility charge that is derived from its already diversified portfolio.

In fact, if the expected values have been accurately calculated, any risk load should translate into profit over time as the long-term average experience should revert to the portfolio's expected value. The real risk for insurers is that the ability to accurately asses the true expected value is educated guesswork. So, volatility premiums are needed to compensate for the risk that the insurer often cannot reliably ascertain the true expected value of the portfolio. This occurs because it can be hard to have a truly homogeneous portfolio of risk, and there are too many variables to reliably model.

The second reasoning flaw has to do with the question of what value insurance can add to the field of ERM. Insurance can only add value if the insurer is able to reliably price the risk (thereby capturing the benefits of diversification as discussed above). Of course, some would say insurance adds value when the insurer makes a mistake and underprices the risk, but in reality, that tends to be a short-lived benefit to the insured.

The flaw is that by asking a single insurer to underwrite a diverse basket of unrelated risks, it becomes increasingly difficult for the insurer to knowledgeably evaluate each risk in the basket. This increases the insurer's uncertainty about the expected outcome, and therefore would cause the insurer to charge a greater "uncertainty" premium. This is exactly counter to the stated purpose of presenting the insurer with a basket of diversified risks in the first place, i.e., to reduce the overall volatiltiy of the outcome.

Insurance can add value in the field of ERM when the insured faces a risk that is too large for the insured to comfortably retain. Since insurance must (should) be priced to cover the expected value of loss plus loading for other expenses and profit, the only valid benefit insurance can afford is an economic utility benefit--that is, the benefit of avoiding a large painful loss for a much smaller pain of an insurance premium. Historically, this has worked where insurers can gain an intimate knowledge of a type of risk, allowing it to offer premiums that minimize its uncertainty and give the insured the benefit of the insurer's diversified portfolio of relatively homogeneous risk exposures.

The real question for insurers trying to tackle nontraditional risk in a way that adds value for the customer, aside from offering underpriced insurance, boils down to the following key principles of insurability:

These three principles are interrelated; insurers are only able to muster large capacity when they believe they have adequate knowledge of the risk and the outcomes don't rest within the insured's control.

Conclusion

ERM represents a very exciting opportunity for insurers to create new markets for their products. However, handling these new exposures presents some real challenges for insurers. Whether insurers can successfully rise to the challenge will be a dominant question for the industry in this decade.


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