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Weather covers Customized Contracts. WMO meeting, Geneva, December 2007. Agriculture Hydro power Wind power Marketing Index Based Reinsurance. TABLE. Agriculture sector example: French vineyards exposure to frost and rainfall. Weather risk exposure :. Solution :.
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Weather coversCustomized Contracts WMO meeting, Geneva, December 2007
Agriculture Hydro power Wind power Marketing Index Based Reinsurance TABLE
Agriculture sector example:French vineyards exposure to frost and rainfall
Weather risk exposure : Solution : Due to an excess rainfall and too cold temperature During the flowering Substantial part of production is lost Double trigger : lack of heat & excess rainfall Payout is a linear function of both indices Agriculture sector example:French vineyards exposure to frost and rainfall
Weather risk : Solution : Correlation between dam’s water level & electricity generation Dam’s water level depends on rainfall Put against insufficiency of cumulated rainfall Protection against decrease of index Index uses a basket of weighted weather stations when necessary Energy sector example:Hydropower’s weakness is drought
Weather risk exposure : Solution : Sales are secured and prices are regulated (demand) Power generation depend on daily averagewind speed Wind speed is THE key incomefactor Wind Put : protection against insufficiency of wind Modelled production index which depends on wind speed: Wind Power Index Financial leverage to decrease the cost of capital Guaranteed minimum income is a security for creditors Energy sector example:Wind farm financing secured by wind guarantee
Weather risk exposures : Solution : Insurance or energy example: Marketing Smoothing your Heating/Air conditioning bill When summer is too hot (or the winter is too cold) end user electricity bill increases (Air conditioning/Heating demand) Monthly or seasonal digital protection against a high average daily max Temp. (ex €100 if Av. Temp > 30°C) Client pay off: credit on the next bill Guarantee paid by the client or free and provided by the distributor Development of customer loyalty and marketing differentiation
Weather risk exposure: • Solution: Property and motor physical damages due to strong storms are strongly correlated to the wind speed Annual aggregate excess of loss property treaty 10 weather stations spread all over France Each station has a specific weight Each station has a specific wind speed threshold high enough to capture only strong storms (e.g. 120 Km/h) Each station has a specific wind speed limit high enough from the threshold (e.g. 160 km/h) as to capture storms severity Reinsurance example: Wind trigger and intensity of damages (1/3)
Daily index per station Wi1 = Min [(Max [(Wmax - Threshold) ; 0]) ; Lim] x weight Index Wi2 = sum of daily indices for all stations for the period Parameters of the cover are: Amount per index unit (tick) is EUR 2 180 000 Deductible is EUR 17 000 000 Limit is EUR 17 000 000 i.e. 7.8 index units Applicable loss is the lesser of the index ; and the incurred losses Reinsurance example: Wind trigger and intensity of damages (2/3)
Reinsurance example: Wind trigger and intensity of damages (3/3)
Weather risk exposure: • Solution: Property and motor physical damages due to strong storms are strongly correlated to the wind speed January-December SL treaty 45 weather stations spread over 5 European countries Each station has a specific weight Each station has a specific wind speed threshold high enough to capture storms (e.g. 110 Km/h) Each station has a specific wind speed limit close to the threshold (e.g. 115 km/h) as to capture storms frequency only Reinsurance example: Wind trigger and frequency of damages (1/3)
Daily index per station Wi1 = Min [(Max [(Wmax - Threshold) ; 0]) ; Lim] x weight Index Wi2 = sum of daily indices for all stations for the period in km/h Parameters of the cover are: Amount per index unit (tick) is EUR 24k Deductible is 300 km/h Limit is 300 km/h in excess of deductible i.e. EUR 7.4m Reinsurance example: Wind trigger and frequency of damages (2/3)
Reinsurance example: Wind trigger and frequency of damages (3/3)
Nicolas Chatelain Salah Dhouib Françoise Bollotte A dedicated team at your entire disposal: Jean-Christophe Garaix David Grégori E-mail: salah.dhouib@paris-re.com Tel: + (33) 1 56 43 98 31 Fax: + (33) 1 56 43 93 70