Atmos Re DAC

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Atmos Re DAC - At a glance:

  • Issuer / SPV: Atmos Re DAC
  • Cedent / Sponsor: UnipolSai Assicurazioni S.p.A.
  • Placement / structuring agent/s: Willis Capital Markets & Advisory is lead structuring agent and sole bookrunner. Munich Re is co-manager
  • Risk modelling / calculation agents etc: Towers Watson (Bermuda)
  • Risks / Perils covered: Atmospheric perils, snow pressure, flood
  • Size: €90m
  • Trigger type: Indemnity
  • Ratings: NR
  • Date of issue: Dec 2018

Atmos Re DAC - Full details

This Atmos Re DAC cat bond is being sponsored by Italian primary insurer UnipolSai Assicurazioni S.p.A.. It is the first time this sponsor has sought out reinsurance protection for weather related risks, its only previous cat bond being for Italian earthquake risks.

Atmos Re DAC is a recently registered Irish domiciled special purpose vehicle, which will issue two tranches of notes to be sold to investors and the proceeds will be used to collateralise the underlying reinsurance agreements to protect UnipolSai from a range of severe weather related perils affecting Italy.

Atmos Re DAC is a recently registered Irish domiciled special purpose vehicle, which will issue two tranches of notes to be sold to investors and the proceeds will be used to collateralise the underlying reinsurance agreements to protect UnipolSai from a range of severe weather related perils affecting Italy.

The Atmos Re DAC notes will collateralize reinsurance agreements that will provide UnipolSai with three years of cover for perils described as atmospheric phenomenon, snow pressure and flood, we understand from sources.

Atmospheric phenomena includes all kinds of severe weather related risks, such as wind storms, hail storms, thunder storms, tornadoes, snow storms, blizzards and any linked perils, so we assume that includes rainfall and related flooding. In this way the atmostpheric phenomena peril bucket collects all the typical European severe weather type risks that an insurer may want to protect itself against in Italy.

Snow pressure is the risk of build ups and weight of snow or ice causing roof collapse and similar impacts to structures, we understand, while flood is both river, coastal and precipitation related.

Hence the coverage within this catastrophe bond is very broad and being focused solely on Italy possibly difficult for investors to model, as the availability of risk models for all of these perils and their resulting exposure footprint is limited.

The Atmos Re DAC cat bond will cover UnipolSai for losses from these perils for events across Italy on an annual aggregate and indemnity trigger basis.

Two tranches of notes are to be issued, with both being set to be funded up front in terms of collateral from the investors and premium payment from the sponsor, meaning the set-up works a little more like a zero-coupon bond, with no regular spread payments, we’re told.

The first Class A tranche of notes is the least risky of the two, targeting coverage for a $45 million layer of risk with an attachment probability of 1.31%, an initial expected loss of 0.45% and the coupon equivalent spread guidance is set in a range from 3.5% to 4.5%, we’re told. These notes would attach at €145 million of losses to UnipolSai’s covered business.

The second tranche is a riskier Class B layer, again a €45 million coverage layer, but this time with an attachment probability of 13.74%, an initial expected loss of 5.58% and the coupon equivalent spread guidance is set in a range from 8.5% to 10.5%, we’re told. These notes would attach at €100 million of losses to UnipolSai’s covered business.

It’s understood that the catastrophe risk modeller for the transaction is Towers Watson (Bermuda), which being part of the same group as the structuring agent and bookrunner Willis Towers Watson is a little unusual.

But being a specialised coverage, with a range of interesting features in terms of perils and for a wide range of not frequently well modelled weather and climatic phenomena, it’s not surprising that another name isn’t featured instead.




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