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- Other than the largest companies in the world, most potential
“corporate” issuers of cat bonds find that “minimum denominations” of
$100 million + are too high to be economic.
- Many organizations are required to purchase “insurance” to comply with
bond indenture agreements, lender requirements, and regulatory
requirements.
- A new product, parametric insurance, addresses this problem.
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- Immediacy of loss payout, as compared with 3 years or more to settle a
complex, multi-location conventionally-insured CAT loss with business
interruption and indirect costs.
- Reduced credit exposure to insurer insolvency due to a major
catastrophe.
- Ability to cover some exposures, such as earthquake deductibles, where
conventional insurance capacity doesn’t exist, or where it may be
severely over-priced.
- More-specific underwriting of risks that are highly-engineered, where
the exposure of specific locations to CAT risks has been modeled through
engineering analysis.
- Possibly a more-cost-efficient method of risk transfer, to the extent
that the risks of loss to investors are within the range of loss from
BBB-rated bonds and are not overly correlated with the risks of other
CAT bonds.
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- Parametric insurance is an insurance policy that agrees to a “payout”
to an insured entity if a prescribed type of event, within defined
“parameters,” occurs during the policy period.
- The “payout” may be made, regardless of whether the degree to which the
insured entity sustained loss or damage, as a result of an event that
is within the prescribed parameters.
- Parametric insurance has many of the benefits of CAT bonds, including
rapid claims settlement (within 45 days) and reduced exposure to
insurer insolvency risk (having claims payment money in hand while the
insurer’s loss estimates from an event escalate to the point of
financial impairment).
- But parametric insurance also may be better-able than pure CAT bonds to
satisfy requirements that “insurance” be purchased to meet bond
indenture agreements, regulatory requirements, etc.
- And, parametric insurance may be available in “denominations” as low as
$250,000 annual premium.
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- The difference between the amount of payout and the actual loss or
damage sustained is referred to as “basis risk.” Such risk includes the
possibility that insurance recoveries from a parametric program may
exceed the amounts customarily received in connection with conventional
insurance, or that there may be situations where actual loss has
occurred but no recovery is available from a parametric program when
one might have been available from a conventional program.
- Typically, the program is designed so that the “parametric payout
formula” incorporated in the policy closely parallels the insured’s
actual risk exposures, thereby minimizing basis risk.
- Some organizations prefer that insurance recoveries exceed the
customarily-modeled amounts, so as to cover indirect costs of loss,
which may be substantial. For them, some “basis risk” may be
beneficial.
- When the delayed timing of recoveries from conventional insurance is
considered, money in hand from a parametric program loss payout may be
better than waiting for a potentially larger amount from a conventional
program. Again, some basis risk may be beneficial, if it means
receiving funds now, rather than waiting.
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- To “calibrate” the parametric payout formula to minimize basis risk, it
may be helpful to perform CAT modeling of the insured’s CAT risk
exposures, sometimes including “site-specific” models of its largest
operations and locations.
- To compare the parametric insurance program’s modeled payouts against
actual loss sustained, or conventional insurance loss recoveries, it is
necessary to utilize the CAT model’s “event set” and the modeled loss
for every insured location for every simulated event.
- Note: This information is not always available from [some of] the
leading CAT modelers as part of their standard reporting of modeled
results.
- In a “modeled risk” program, the Parametric Insurance policy loss
payout formula is a simplification of the modeling algorithms used in
the leading CAT models.
- For example: distance of each location from an earthquake’s rupture
zone, magnitude of the earthquake, value insured at each location, and
adjustments for soils conditions and building type/engineering.
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- Insurers offering parametric insurance can benefit from aggregating a
portfolio of such exposures and then “hedging” their portfolio exposure
in the CAT bond market in a far more-efficient way that by purchasing
traditional reinsurance.
- However, such a portfolio needs to mesh with investors’ “risk
appetites” and preferably not be highly correlated to other available
CAT bond offerings.
- The efficiencies which may be gained ought to flow back to providers of
parametric insurance in the form of higher profits and to insureds in
the form of reduced premiums.
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- Expenses as a percentage of limits “insured” by a CAT Bond are as
little as 5-7%, as compared with 30% for conventional insurance.
- The risk-taking premium (yield % over LIBOR) required by bond investors
often is just 2%-5% over risk-free rates of return, for risks having a
1/50-1/100 chance of occurrence. This compares with risk-taking
premiums charged by traditional reinsurers of as much as 20%-60%.
- Will the reinsurers in the audience please rise to defend themselves?
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- CAT bonds and private placements, as described by Mike Leybov of
Willis, can be viable alternatives to conventional insurance and
reinsurance for certain organizations.
- Whether they are your own “best”
solution depends on such factors as your organization’s “risk profile”
and “financial preferences.”
- Sometimes it makes financial sense for your organization to choose CAT
bonds if the cost is higher than that of conventional insurance or
reinsurance.
- I will focus on what are the most appropriate criteria which pertain to
“YOUR organization,” and what decision framework and tools are commonly
used to make such “apples-to-oranges” decisions.
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- Financial Instruments used to transfer risk, such as CAT Bonds, can cost
MORE than “Traditional” insurance and reinsurance.
- Why, then, would you wish to consider these alternatives?
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- Traditional insurance and reinsurance might not be available for the limits
you need.
- At the higher limits, capacity might be available only from insurers whose
chances of financial survival might be less than the event being insured.
- It might take years to settle a complex loss involving multiple
locations, but your company or organization might need cash right away –
and access to such cash might give you a competitive advantage.
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- Your Stock Price might slide due to the uncertainty of spending years to
finalize a loss settlement for “indemnity”-triggered coverage.
- Your CAT risk exposures might be of a type that are “plain vanilla” for
treatment with financial instruments.
- You might be investigating a full range of alternatives, including
“going bare” and/or spending saved insurance dollars for risk reduction
through better engineering.
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- So, how do you put all these considerations together, and make the best
decision?
- To do so, you need to go back to a very basic frame of reference.
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- Organize your location and exposure data.
- Perform a preliminary evaluation and model of loss expectancy
probabilities.
- Identify the areas of your risk where the most benefit can be achieved
through an alternative approach.
- Identify, calibrate, and quantify the costs and payoffs of risk-finance
alternatives that are feasible for the selected area of risk.
- Compare the alternatives, within an appropriate risk decision framework,
using CAT modeling and stochastic models from the CAT model event set.
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- The value of shareholder investments typically are measured in ways that
consider two factors:
- “Earnings” factor, consisting of the anticipated stream of future
earnings, and
- The “R” factor, consisting of investors’ required rate of return, based
on the perceived Risk Level attendant to the earnings projections.
- Seek Optimum tradeoff between risk and return, through active
management of the “R” factor.
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- Financial theorists define risk as: Uncertainty as to achieving an
- Expected Outcome,
- observed through:
- Variability from an Expected Result.
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- “Risk” is not simply the “chance of loss.”
- All economic activities involve a certain amount of loss all the time.
But if the losses are small and predictable, such “leakage” is not
“risk.”
- “Risk” is the possibility that economic impacts will significantly
deviate from “average.”
- Volatility, both on the upside and downside, creates uncertainty and
lesser predictability of overall results. Such volatility is penalized
by investors, who tend to be “risk-averse.”
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- The VALUE of an investment, such as a company’s stock is:
- Based both on the
- Amount of the Estimated Future Earnings Stream, and the
- Degree of Uncertainty in realizing those estimated earnings.
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- The value of the firm equals
- the sum of future earnings,
- divided by the investors’ required rate of return (cost of capital),
- which depends on the degree of risk associated with the future earnings
stream.
- i.e.: Value = S Earnings year 1…..n
- Investors’
Required Rate of Return
- Investors’ required rate of return is a squared function of Risk
(expressed as financial volatility.
- We call this R² - the “R Factor.”
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- In the V = E / R2 formulation, it is clear that any small
change in a firm’s risk level has a magnified effect on the firm’s
overall valuation. This is because the effect of risk on share valuation
is squared.
- In fact, the negative effect of perceived increases in risk may offset
the positive effect of improved earnings.
- Conversely, the reduction in earnings resulting from lower-risk / lower
return investments, or from costs of risk transfer, may improve overall
valuation.
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- Cost of risk reduction through risk transfer reduces incremental
earnings stream
- Benefit of risk reduction is reduction in the denominator of the
equation – Investors’ required rate of return
- Net benefit is achieved if Earnings minus cost of risk reduction,
divided by new (lower required rate of return) is higher than pre-risk
reduction equation.
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- Before Risk Reduction:
- Present Value of $1 billion annual after tax income for 30-yr. horizon
/ .09 required rate of return = $10.27 billion.
- After Risk Reduction:
- Present Value of $.95 billion annual after tax income for 30-yr.
horizon / .085 required rate of return = $10.61 billion, which is more
than the value before incurring the cost of reducing risk.
- Decision: Yes, proceed with risk reduction.
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- The difference between “risk aversion” and “risk avoidance”
- Enrique Sabater: The World Bank, Washington, DC
- “Sometimes we need to take more risk.”
- “Risk management is not about avoiding or getting rid of risk. It’s all
about “managing” the risks we choose to assume, or which we have no
choice but to undertake.”
- Good risk management decisions involve
- identifying risks,
- assessing their size and probability, and
- identifying alternative courses of action that have differing risk
profiles.
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- Principal Risk Characteristics:
- Frequency of Loss
- Average Severity of Loss
- Degree of “Internal” Correlation
with other risks
- Relative “External” (I.e. Insurance or Capital Markets) risk
correlation.
- These factors affect the cost and benefit of risk transfer.
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- CAT bonds: Minimum denominations of $100 million.
- More is better, to spread $5 million issuance cost over a broad base
- Difficult to structure a modeled trigger or a parametric trigger if
assets at risk are diverse and widely spread.
- Requires faith in modeling (models are not good predictors if the
epicenter of the event is “very close” to assets at risk)
- Private placements have lower minimum denomination and greater room for
“negotiation,” so they may be viewed as a hybrid between conventional
insurance and publicly traded CAT bonds.
- Credit enhancement and parametric loans address “some” of the
deficiencies or conventional insurance, and may be less expensive than
CAT bonds.
- Hybrid insurance programs with Parametric triggers
- Industry Loss Warranties, with one or more parametric triggers
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- Statistical measurement of historical performance
- Stochastic Modeling / measurement of correlation effects through
aggregation
- Sample tool: @Risk (Palisade Software – www.palisade.com) and Crystal
Ball software
- CAT models, such as RMS, EQE, AIR, HAZUS
- GIS analysis of how individual locations would be affected by parametric
triggers
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- Apply the best combination of risk management techniques, consistent with the optimum effect on
the firm’s overall Value.
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- Allen Monroe Founder and CEO, RiskINFO
- Allen Monroe is the founder of RiskINFO and RFactor, based in Larkspur,
California.
RFactor designs and implements unique risk-finance strategies and
programs, supported by enterprise risk management technologies.
Risk Technology Applications developed by RiskINFO include a
recent Smithsonian Award nomination and the World Bank's Enterprise Risk
Management Intranet.
For 35 years, Allen specialized in risk finance consulting with
major corporate clients. His responsibilities included:
- Director of Insurance Managers Limited in Bermuda
- President of Reed Risk Management in the U.S.
- Senior Vice President of Reed Stenhouse
- Vice President of Marsh & McLennan.
During that time, he organized captive insurance companies and
mutual insurers, with combined assets exceeding $1 billion. He developed
many of the concepts currently employed in financial reinsurance, finite
risk, and alternative risk finance.
He coined the phrase "RMIS" (Risk Management
Information System) and was the first to develop risk management systems
that operate on “personal computers.” He was selected by RIMS to design
its risk information system course curriculum.
Allen received his degree in Economics from The Wharton School,
majoring in Finance.
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