Reinsurance
One of the things we find when we talk to people about DFA is that while DFA is considered a "new
concept" for primary insurers, DFA is already considered an established part of how business is done in the
reinsurance industry. This is largely because reinsurers frequently deal with events that are low frequency
but high severity. Therefore modeling a number of scenarios is the best way to illustrate the value of any
given coverage to potential purchasers, and to compare and contrast the economic effects of possible
reinsurance "solutions" for a potential client. Reinsurers are in the lead in terms of using DFA for pricing
studies, marketing studies, and reserving studies.
Many reinsurers and brokers have become increasingly sophisticated and now use DFA-type modeling to
actively evaluate the effect of proposed cessions from primary companies. DFA is also particularly useful
in evaluating various finite risk reinsurance transactions.
If you are a primary insurer, how can you use DFA? Primary insurers can use DFA modeling to help
develop an appropriate cession strategy that will maximize achievement of their reinsurance goals. This
may involve modeling a variety of mixes of reinsurance coverages at various limits and retentions and with
various loss-sensitive features in order to achieve an optimal program.
A second example of DFA use by primary companies is perhaps the best known—catastrophe modeling.
When Hurricanes Hugo and Andrew hit and the Northridge Earthquake occurred, the industry realized that
simulation, modeling and multiple stress test scenarios were the only reasonable approach to get a handle
on their true potential exposure. In fact, reinsurers who specialize in writing catastrophe covers rely on
these types of DFA models for their very existence!
It’s generally conceded that the industry is far more sophisticated today about managing its exposure to
natural disasters than just five years ago. Much of the credit for this improvement has to go to the
knowledge derived from this special subset of DFA models.
A third use of DFA models is to help primary companies deal realistically with the risk of uncollectible
reinsurance. At the same time DFA can help reinsurers deal realistically with the potential financial
stresses of failures occurring among primary company cedants.
Modeling reinsurance recoveries under mass torts is yet another important use of DFA. DFA is wellknown
to primary insurers as an accepted method for estimating various mass tort liabilities. It can be used
to model potential reinsurance recoveries under a variety of scenarios.
Other specialized uses of DFA may involve modeling non-reinsurance alternatives such as CBOT
Catastrophe Futures, lines of credit, catastrophe bonds and other derivative products.
Table 1 shows a simplified example of one traditional type of DFA analysis. An insurer considers the
purchase of quota share (QS) or excess of loss (XOL) for a small low frequency, high severity book of
business. This insurer has decided that its key measure is profit-center underwriting gain.
The insurer can then see not only how often each reinsurance alternative is best, but when and why.
DFA modelers frequently need to do significant original research and development. Some areas requiring
such research include:
- Catastrophe models for workers compensation.
- Tying together workers compensation and property loss occurrences.
- Tying together the effects of major natural catastrophes with significant movements in financial
markets (e.g., stock market plunges and exchange rate declines related to the 1906 San Francisco
earthquake and recent Kobe, Japan earthquake).
- Specialized reinsurance product features such as reinstatement provisions, sunrise and sunset
provisions, ECO coverage, corridor deductibles, loss ratio caps, or MAOLs.
DFA model building is likely to spur a host of econometric-related insurance research that will prove
beneficial in numerous areas.
As you can see, reinsurance provides a particularly rich area for DFA studies whether you are a primary
carrier or reinsurer.
Paul J. Kneuer, FCAS of the Holborn Agency contributed to this article.
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