What are the odds that a passenger in a car will die in a traffic accident in any given year? ¶ One in 19,216 -- or maybe higher, if an actuary is driving. ¶ Actuaries, after all, have been defined as mathematicians who drive forward while looking out the back window. ¶ Nevertheless, hindsight has improved foresight in recent years with the help of new technology and better computer models to forecast all manner of risks -- including accidents, illness and death. Progress in insurance underwriting stands in sharp contrast to Wall Street's failure to adequately assess risk in financial markets, a shortcoming brought into sharp relief by the subprime mortgage meltdown and the resulting damage to some of the nation's largest banks.
"Watching the current subprime problems unfold and spread, creating such economic problems, I could not help but to think that Wall Street has much to learn from actuaries," said Heekyung Youn, a mathematician who teaches actuarial science at the University of St. Thomas.
"I get the feeling that, even though the current crisis is a new situation that we are facing, if the whole enterprise had been assessed more carefully, as actuaries do when they develop a new insurance product, we may have been able to avoid or reduce the level of current difficulties," Youn said.
Insurance actuaries, judging risks before underwriters price policies, have increased their sharing of information and refined computer models to measure the interplay between risks. For example: what to charge a smoker who also scuba dives and makes his living in a chemical plant.
In contrast, the combination of risks in credit markets -- easy credit, lax standards for qualifying for mortgages, and the bundling of mortgages into securities -- made the quality of loans hard to assess and turned into a toxic brew for Wall Street.
Death by coconut
Actuaries know the odds of being killed by a falling coconut -- one in 250 million -- but can be clueless about the risks associated with thousands of home loans bundled together with virtually no information about individual borrowers.
Actuaries, who build elaborate mathematical tools used to predict and spread risk, can claim to have reduced unexpected exposure for insurance underwriters and to cut the costs of insurance coverage for some who previously couldn't afford it.