Have property insurers become too dependent on computerized catastrophe models, and if so, what is the alternative, given the potentially huge exposures they face? Those were some of the provocative questions raised yesterday by one of the pioneers of cat modeling, Karen Clark.
Insurers have “stopped thinking about risks independently,” according to Ms. Clark, president and chief executive officer of Karen Clark & Company in Boston. You may be more familiar with her as founder of the first cat modeling company, Applied Insurance Research--later known as AIR Worldwide Corp. after its acquisition by the Insurance Services Office in 2002.
Ms. Clark is now a cat guru of sorts. Her consulting firm, according to her Web site, "helps senior executives and boards of directors make sure their companies have in place effective risk management processes that conform to best practices" when it comes to disaster exposures.
It's ironic that now that she's out of the business of cat modeling per se, she feels free to challenge insurer use of such technology to better assess disaster exposures.
Her message seems to be that cat models, while useful, are a blunt instrument, while emphasizing that underwriting should remain as much an art as a science. In other words, don't blindly follow the models, but instead treat each risk individually. Go with your gut, and use common sense.
Speaking yesterday in New York during an Association of Professional Insurance Women luncheon, Ms. Clark emphasized that models are not designed to replace underwriters, but instead are merely best estimates. They certainly shouldn't be the final word on which risks are acceptable and which are not, she added. (For Phil Gusman's complete coverage of the speech, click here.)
“We’ve become a modeling society,” Ms. Clark said, noting that some insurers had confessed to her they followed whatever the models told them, even if the numbers don't look quite right!
That jives with what I heard in London last October at an ACORD forum, when underwriters admitted that many employed two or even three competing models--which rarely agreed on exposure--hoping to get a range and a comfort zone within which to safely operate.
Ms. Clark's candid speech and my own experience in London makes me wonder why insurers should even bother with computer models if they don't really tell them anything definitive about the risks they face.
The answer, I believe, is that the cat models, however flawed, are literally better than nothing, especially with insurers under tremendous pressure from rating agencies, stock analysts and their own senior managements, board members and shareholders to demonstrate they have a firm grip on such exposures.
What else could they do, buy a crystal ball?
I also think that insurers--burned by back-to-back monster storm seasons in 2004 and 2005--are also choosing to err on the side of caution, with the cat models giving them cover to take a more conservative approach.
A big part of the problem is that some major carriers, way before the extensive use of cat modeling, allowed themselves to become overexposed to windstorm losses in vulnerable areas, such as on Long Island and along the Gulf Coast. Again, the cat models merely provided some objective proof that by cutting back in heavily exposed regions, they were merely being prudent.
That said, Ms. Clark's main point is sound--that underwriters should be considering individual applicants and not rejecting all risks in a hot zone out of hand. Following two very quiet hurricane seasons, it might help restore some credibility with regulators and get consumer advocates off their backs if they demonstrate they have not become enslaved by a computer program, but are in fact making sound, case-by-case decisions.
They may not have much choice, as simply citing models to justify rash pullbacks in any specific area is unlikely to carry much weight with the industry's clients and critics, now that a cat modeling icon has let the cat out of the bag.
What do you folks think?

Comments (4)
Fine post, Mr Friedman.
Part of Allstate’s problems in Florida derives from using a short-term model that was not approved by regulators there. And there are news accounts of insurers like Allstate and State Farm cancelling coverage on fortified houses that had no claims histories despite repeated strikes.
I think the point about there is no substitute for human judgment is spot on.
Posted by Sop81_1 | April 17, 2008 10:11 PM
Posted on April 17, 2008 22:11
I was heartened by Ms. Clark's comments. As an independent auditor specializing in the property line I see many, many files. In my view we have allowed the models to dumb down the underwriting process, and this has resulted in line underwriters losing touch with rates, terms and conditions.
Case in pointz: As the market has softened and the underwriters are justifying rate decreases, they will use the term "models well" for justification. No comments about the risk, the rates, BI assessment, etc.
Models have become the underwriters drug of choice, providing quick answers in a fast-paced, transaction-heavy work environment.
Posted by Bob Medeiros | April 21, 2008 11:09 AM
Posted on April 21, 2008 11:09
Models are but one set of tools available to practitioners for developing products, setting prices and determining risk, not just in the insurance industry but in many industries.
All tools, even hammers, have inherent flaws and provide different results depending on how they are used and for what purpose the user intends.
It is obvious that insurers make consious choices in how they apply their tools to achieve results. But the issue is not a preference for one tool over others. The issue is the lack of sufficient intelligence with which to make informed decisions.
A large part of this intelligence gap is rooted in reliance on disparate legacy systems and isolated silos of information.
Situations such as "over exposure" are "knee jerk" reactions to such situations and are symptoms of this lack of intelligence.
Insurance companies need to embrace the newer systems that offer holistic scenario analysis. These systems take into account data across the enterprise combined with results of various tools, and enable assessment of a wide range of risk events.
In addition, such systems support the intent of enterprise risk management imperatives essential to sustainability.
While this holistic approach offers a better way for insurance companies to develop and price products and assess risk, its effective implementation is still dependent on executive leadership. That's where the "model" problem and other problems start and end.
Posted by Edward Kalbaugh | April 22, 2008 9:08 PM
Posted on April 22, 2008 21:08
Given the choice of having no catastrophe models and harking back to the days where individual event losses were used as the Probable Maximum Loss, or having today's complex catastrophe models (developed by companies whose research teams parallel--and are indeed taken from--academic research departments), I know I'd prefer things as they are today.
Although I agree with some of Ms. Clark's comments, especially faced with dealing with the whole "rubbish in, rubbish out" aspect of the catastrophe modelling process, which is still an issue, I can't help thinking that they ever so slightly smack of the retired sports professional who takes a snipe at present-day professionals from the comfort of their armchair.
Posted by Richard Dixon | April 23, 2008 10:54 AM
Posted on April 23, 2008 10:54