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How DFA Can Help the Property/Casualty Industry, Part 4
Hurricanes Katrina, Rita, Wilma...
Catastrophes: Models and Reserving
Risk Measures
Reinsurer Results:
Catastrophe and Strengthening
Hurricanes: 2003 and 2004 Results, Clustering and TransitioninG
Brushfire and Fire Following Exposures
Tsunami Exposure Worldwide and U.S.
Wind and Hail: Relative Hazard Levels
Cat Modeling Class
Introduction to Reinsurance
Holborn Technical Seminar
Catastrophe, Injury, and Insurance
Review of Myers & Read ARIA Paper
Technical Critique
Allocation Semantic Issue
Equivalent Risk Semantic Issue
Alternatives to CAPM
Review
A Perfectly Ordinary Tuesday Morning
This is Not Your Father’s Cat Model
Global Warming and Increased Catastrophes?
Reinsurer Risk Loads from Marginal Surplus Requirements, PCAS LXXVII
Reinsurance Markets
Risk Transfer Assessment
Introduction to Asset Returns and Risks
CAS Call Paper Panel
Ceded Reinsurance Issues in DFA
Catastrophe Reinsurance Simulation Game
Reinsurance by any other name
Clash Pricing
ALLOCATION OF SURPLUS FOR A MULTI-LINE INSURER
Optimization to Improve Business Performance

 

 
May 20, 2003
Paul Kneuer
Marco Island, FL
 
Page: 1 2 3 4 5 6 7 8

CAPM in Insurance

The key underlying assumption in applying a Surplus allocation in rate regulation is not the authors’. The regulatory model in Massachusetts and other states is that insurers should only earn profits consistent with those earned on other investments of comparable risk. This is based on the U.S. Supreme Court’s Hope Natural Gas decision, which is usually interpreted to mean the profit margins which would be calculated using the Capital Asset Pricing Model (CAPM) method. That is, only the systematic, nondiversifiable risks within an insurance portfolio will (and should) earn a return above Treasuries, and that return is the same as a stock with equal correlation to the overall market would earn. MBA students are traditionally taught that a dynamite factory is a systematically less risky investment than a diversified, but leveraged, stock portfolio.

CAPM argues that the capital market cannot allow the dynamite factory to earn a higher return than an investment with a comparable beta factor.

A recent empirical challenge to the use of CAPM in insurance pricing is the market for Catastrophe bonds. These bonds earn significant excess returns on their total risk, even though that risk is seen as diversifiable. Catastrophe bonds have a low beta: some authors (example: Kenneth Froot) suggest that catastrophe insurance risk has a zero beta. However, Catastrophe bonds actually earn returns very significantly above equivalent Treasury bonds (see the recent work of Morton Lane). Contradicting the dynamite factory analogy, investors require an extra reward for the clear, but diversifiable, chance of a catastrophic loss of their investments.

We see that the CAPM results do not currently hold for insurance investments. This is only possible in the long term if the essential assumptions of CAPM do not apply to insurance investments. Do they? Insurers may not borrow or short sell without limit. Capital does not move freely into and out of insurance companies. Insureds and insurers and their investors and regulators all have different time horizons. Insurance contracts are not transferable or divisible. Several of the key assumptions underlying CAPM rate regulation clearly do not apply, although regulators persist in applying them out of respect for precedent or for lack of a practical alternative.

One alternative possible now for regulators is to model a notional portfolio representing a mix of Catastrophe bonds and Treasury bonds that matches the degree of total risk of an insurance product. The excess return on this notional portfolio would be an appropriate profit provisions to include in rates. This provides an objective measure of return without relying on the CAPM’s assumptions, which we can see are violated both in theory and by market results. The alternative would however provide a nonconfiscatory return “of equivalent risk” as required by Hope.
A sample calculation is shown on page three of the exhibit.

A more direct analysis, that was also impossible in the past, is to look at the long-term loss ratio for the same product in the many states that now have vibrant and effective competitive market. This would provide a direct benchmark of the relationship between price and risk that Hope says insurers should earn. This comparison would also allow regulators to ignore differences of expense and product mix that insureds do not care about. Insureds only value what they receive as expected loss recoveries, defense and cost containment expenses, loss control services (and perhaps premium taxes, as a surrogate for sales tax that they might pay to replace their damaged property). This different approach could be viewed as “demand side” regulation.

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