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<strong>Weather</strong> <strong>Derivatives</strong><br />

The challenge of managing weather risk in<br />

renewable energy<br />

Teresa Schorstein<br />

26. September 2012


Table of Contents<br />

1) About CelsiusPro<br />

2) Climate Change and Environmental Stress<br />

3) <strong>Weather</strong> <strong>Derivatives</strong> at CelsiusPro<br />

4) <strong>Weather</strong> Risk Management Market<br />

5) <strong>Weather</strong> <strong>Derivatives</strong> and Renewable Energy<br />

2


Part 1<br />

About CelsiusPro<br />

3


Profile<br />

� CelsiusPro AG: Swiss based, Founded 2008, 6 Employees<br />

� CelsiusPro Australia Pty Ltd: Founded 2012, 4 Employees<br />

� Industry: <strong>Weather</strong> Risk Management<br />

� Product: Tailored <strong>Weather</strong> <strong>Derivatives</strong> (OTC Options)<br />

� Strategic Partnership: Swiss Re<br />

� Association: <strong>Weather</strong> Risk Management Association (WRMA)<br />

� Award: 2009 Swiss Insurance Industry Award for Innovation<br />

4


About CelsiusPro<br />

What we do:<br />

� Enable companies to hedge themselves against financial losses due<br />

to adverse weather<br />

� Provide liquidity and transparency to the weather market<br />

� Educate industries in quantifying weather risk<br />

� Reduce the complexity for clients to do weather derivative<br />

transactions<br />

5


Countries and <strong>Weather</strong> Stations<br />

6


Part 2<br />

Climate Change and Environmental Stress<br />

7


Climate Change - Trends<br />

IPCC identifies three major effects of<br />

climate change on extreme weather:<br />

Trend of:<br />

� Warmer temperatures<br />

� More extreme temperatures<br />

� Heavier precipitation<br />

� Longer droughts.<br />

Source: IPCC, Intergovernmental Panel on Climate Change<br />

8


Source: National Oceanic and Atmospheric Administration (NOAA)<br />

Temperature<br />

Earth’s overall temperature has increased<br />

by 1.3°F (0.7°C) since 1900. In the graph,<br />

average annual surface temperature is<br />

shown as the difference from the average<br />

for 1901-2000.<br />

Glaciers<br />

Since 1980, a representative set of well<br />

studied glaciers has lost the equivalent of<br />

40ft.(12.5m) of water on average. The<br />

graph shows the average mass balance of<br />

30 reference glaciers around the world.<br />

Spring Snow Cover<br />

Earlier melting of winter snow has reduced<br />

the area of land covered by snow in<br />

spring. The graph shows the area covered<br />

by snow in the N. Hemisphere during<br />

March and April, shown as the difference<br />

from the 1971-2000 average.<br />

9


Source: National Oceanic and Atmospheric Administration (NOAA)<br />

Ocean Heat<br />

More than 90% of the warming that has<br />

occurred on Earth over the past 50 years<br />

has occurred in the ocean. The graph<br />

shows heat energy in the top 700m of the<br />

ocean as the difference from the average<br />

from 1955-2006.<br />

Sea Level<br />

The average height of the ocean’s surface<br />

has increased by 8.25”(210 mm) since<br />

1880. The graph shows mean global sea<br />

level measured by tidal gauges since 1880<br />

and by satellite instruments since 1993.<br />

Arctic Sea Ice<br />

The area of the Arctic where sea ice<br />

remains frozen at the end of summer has<br />

decreased by more than 10% per decade<br />

since 1979. The graph shows the average<br />

area with at least 15% sea ice on its<br />

surface each September.<br />

10<br />

Source: NOAA


Part 3<br />

<strong>Weather</strong> <strong>Derivatives</strong> at CelsiusPro


<strong>Weather</strong> <strong>Derivatives</strong><br />

Characteristics:<br />

� European style capped option on climate parameter<br />

� Cash settled<br />

� Based on the measurements of the national meteorological office<br />

Defined by the following attributes:<br />

� <strong>Weather</strong> Station<br />

� Contract Period<br />

� <strong>Weather</strong> variable or underlying<br />

� Index which aggregates the weather variable<br />

� Payoff function, which converts an index into the cash flow<br />

� Premium<br />

13


<strong>Weather</strong> Indices / Difference to Insurance<br />

Typical weather variables are:<br />

� Daily Temperature (average, maximum or minimum)<br />

� Rainfall or Snowfall / Snow depth<br />

� Wind, Carbon Dioxide, Pressure, River Flow, Sun Radiation, Waves Height<br />

� Hourly Rainfall (or other hourly weather)<br />

The underlying weather measurements are aggregated with a function to a<br />

weather index.<br />

The key differences between weather derivatives and insurance:<br />

� <strong>Weather</strong> derivatives are financial contracts and not insurance contracts.<br />

� No proof of losses or damages are required.<br />

� The payout is not in relation to losses or damages but solely to the values<br />

measured at the weather station (index based).<br />

14


<strong>Weather</strong>-Sensitive Industries<br />

� Transportation<br />

� Utilities<br />

� Travel and Leisure<br />

� Construction/Mining<br />

� Events<br />

� Retail and Wholesale<br />

� Agriculture<br />

� Marketing<br />

� Renewable Energy<br />

15


How it works<br />

� Linked to measurements of a particular<br />

weather station.<br />

� The national meteorological office<br />

delivers the values<br />

� At expiry of the certificate the contract is<br />

settled and paid out<br />

Budapest:<br />

WMO Nr. 12843<br />

Lat. 47.43<br />

Lng. 19.8<br />

Alt. 138<br />

16


<strong>Weather</strong> <strong>Derivatives</strong> Terminology<br />

1. The <strong>Weather</strong> Station is the official measurement station which is used for<br />

price calculation and settlement.<br />

2. The period between the Start Date and the End Date is the Risk Period. Start<br />

and End Dates are always included.<br />

3. The Threshold defines when a day counts as a Critical Day.<br />

4. The Strike defines the amount of Critical Days of own risk. The Payout per<br />

Critical Day starts only once the number of Critical Days counted during the<br />

risk period exceeds the Strike value.<br />

5. The Payout per Critical Day is the amount paid for every Critical Day in<br />

excess of the Strike.<br />

6. The Maximum Payout is the payout limit of the certificate. It is usually a<br />

multiple of the Payout per Critical Day.<br />

17


Contract Example: Rain Day (1/3)<br />

Risk period und location<br />

� Period: 01.03.2011 –07.03.2011 (7 days)<br />

� <strong>Weather</strong> station: Frankfurt Airport<br />

<strong>Weather</strong> index definition<br />

� Certificate type: Rain Day (Call)<br />

� Threshold: > 5mm per day<br />

Payout definition<br />

� Strike: 2 Rain Days<br />

Payout size definition<br />

� Payout per Rain Day: EUR 10‘000<br />

� Maximum Payout: EUR 50‘000<br />

60.000<br />

50.000<br />

40.000<br />

30.000<br />

20.000<br />

10.000<br />

Premium: EUR 4‘012 0<br />

Payout in EUR<br />

Payout Profile<br />

0 1 2 3 4 5 6 7<br />

Rain Days at Expiry<br />

18


Contract Example: Rain Day (2/3)<br />

<strong>Weather</strong> derivatives are index based products.<br />

Example: Rain Day Certificate<br />

Pays out a pre-defined amount for every day the daily rainfall is above 5mm.<br />

� Index: Number of Rain days > 5mm<br />

Rainfall measurement:<br />

Payout calculation:<br />

(Index –Strike) * Payout per Rain Day<br />

(4 –2) * 10‘000 = 20‘000<br />

19


Contract Example: Rain Day (3/3)<br />

Strike<br />

normally set between average (At-the-Money) and average + 1.5 StDev (Out-ofthe-Money).<br />

Maximum Payout<br />

is the product of: (Payout per index point * (Exit-Strike)). The exit is normally set<br />

as historical extreme or average + 3-4 StDev.<br />

Cover<br />

Example:<br />

Payout per Rain Day: EUR 10‘000 *<br />

(Exit: 7 Rain Days –Strike: 2 Rain Days)<br />

= Max Payout: EUR 50‘000<br />

Strike Exit<br />

20


Part 4<br />

<strong>Weather</strong> Risk Management Market


<strong>Weather</strong> Risk Management Market<br />

Market:<br />

• First <strong>Weather</strong> <strong>Derivatives</strong> were used in 1997<br />

• Launch at CME in 1999<br />

Volume:<br />

• Number of traded contracts, futures and OTC options rose 35% from<br />

2007 to 2008 from 730,000 to 985,000<br />

• Nominal value of traded contracts rose 68% from USD19bn to USD32bn<br />

Geography:<br />

• Starting from the USA to Canada, Europa and Japan<br />

Products:<br />

• Variety has increased strongly from temperature-based to precipitation,<br />

snow and even hurricane<br />

22


Traded @ Product Description<br />

Exchange Industry Loss Warranties<br />

Hurricane Futures & Options<br />

Hurricane Landfall Options<br />

<strong>Weather</strong> <strong>Derivatives</strong><br />

OTC CAT Bonds<br />

<strong>Weather</strong> <strong>Derivatives</strong><br />

IFEX - The buyer selects …<br />

� Insured event (e.g. tropical wind)<br />

� Trigger in total industry loss units (Industry Loss Index<br />

provided by PCS)<br />

� CME Hurricane Index (CHI ) measures the<br />

potential damage from a hurricane by reference to its<br />

maximum wind velocity and size<br />

� Binary options are used in the same way as the<br />

Industry Loss Warranties<br />

� Call options on whether and where a hurricane will<br />

make first landfall on the U.S. Atlantic and Gulf coasts<br />

� National Hurricane Center determines whether a storm<br />

made landfall as a hurricane<br />

� Premiums aggregated into mutual risk pool<br />

� Payout is pro rata share of the pool<br />

� Products are only available for major cities in the US<br />

� Selected indices (HDD, CDD, frost, snowfall, rainfall)<br />

� alternative to traditional reinsurance,<br />

� event triggered by natural catastrophe<br />

� insurance company issues bonds (through) investment<br />

bank<br />

� no-event situation: Insurance company pays coupon to<br />

investors<br />

� event situation: principal is forgiven, money used to<br />

pay claims<br />

� location- specific products available<br />

� indices tailored to individual company’s weather<br />

exposure<br />

23


Convergence of Re Insurance and Capital Markets<br />

Competitive landscape in the weather risk business.<br />

Local Banks<br />

Insurance Markets Banks<br />

Offer limited products upon Capital Markets<br />

Lloyds Offers weather solutions mainly<br />

to large events, don’t offer solutions for<br />

many other sectors.<br />

National Hail Insurance offer hail cover<br />

and drought covers.<br />

AON, March Large international<br />

insurance broker across all<br />

insurable risk categories.<br />

XL Insurance Used to be big in<br />

weather but reduced business<br />

after subprime losses.<br />

Swiss Re Largest weather risk capacity.<br />

Munich Re Largest Reinsurance company,<br />

weather strategy unclear<br />

Nephilia risk capacity <strong>Weather</strong> Bill,<br />

Bermuda based<br />

Insurance<br />

Brokers<br />

AON<br />

March<br />

XL Insurance<br />

Re Insurance<br />

Swiss Re<br />

Munich Re<br />

Renaissance Re<br />

Ren Re<br />

Nephilia<br />

Insurance<br />

Lloyds<br />

National Hail<br />

Insurance<br />

<strong>Weather</strong><br />

Risk<br />

Hypo Vereins.<br />

Hypo Tirol<br />

Bayrische<br />

Exchanges<br />

LB<br />

<strong>Weather</strong> Risk<br />

Specialists<br />

Galileo<br />

<strong>Weather</strong> Bill<br />

New <strong>Weather</strong> Risks<br />

CelsiusPro (CP)*<br />

MSI Guaranteed <strong>Weather</strong><br />

CME, Eurex<br />

request<br />

Hedge Funds<br />

Cumulus, Coriolis,<br />

D.E. Shaw, Tudor,<br />

PCE Investors<br />

Commodity Broker<br />

ICAP, TFS,<br />

Evo Markets,<br />

CBS AU*,<br />

DCA NL*<br />

Chicago Mercantile Exchange<br />

Offer limited products and stations including<br />

snowfall HDD, CDD, CAT.<br />

Eurex Offer only hurricane products.<br />

Cumulus , Coriolis, <strong>Weather</strong> specialist HF<br />

D.E. Shaw, Tudor Large international HF<br />

dealing across all asset classes<br />

Commodity Broking Services (CBS)<br />

Australian partner company of CP,<br />

DCA Dutch partner company of CP,<br />

ICAP, TFS Large international broker across all<br />

asset classes<br />

<strong>Weather</strong> Bill Hourly Contracts, Online Pricer, backed<br />

by Nephilia<br />

New <strong>Weather</strong> Risks UK partner of WB<br />

Galileo Hourly Contracts, Swaps and Collars, no<br />

Online Pricer<br />

MSI Guaranteed <strong>Weather</strong> World wide weather<br />

stations, Homepage is complicated<br />

24


Part 5<br />

<strong>Weather</strong> <strong>Derivatives</strong> and Renewable Energy


Wind Energy –CP Wind Index (1/3)<br />

� Replicates the slope of the power curve<br />

� Serves as a good proxy for hedging production risk<br />

� Established by using 1 kWh as 1 index point<br />

� Approximates the power curve of a 2MW turbine.<br />

m/s CP Wind Index<br />

0 0<br />

1 0<br />

2 20<br />

3 50<br />

4 100<br />

5 200<br />

6 400<br />

7 600<br />

8 800<br />

9 1,000<br />

10 1,200<br />

11 1,400<br />

12 1,600<br />

13 1,800<br />

14 1,900<br />

15 2,000<br />

16 2,000<br />

17 2,000<br />

18 2,000<br />

19 2,000<br />

20 2,000<br />

26


Wind Energy –CP Wind Index (2/3)<br />

Correlation: The graph shows the<br />

correlation between the monthly<br />

power production and the monthly CP<br />

Wind Index at the station Aberdeen.<br />

Production (KwH)<br />

16500000<br />

14500000<br />

12500000<br />

10500000<br />

Correlation Production vs CP Wind Index<br />

8500000<br />

6500000<br />

4500000<br />

2500000<br />

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31<br />

Month<br />

14000<br />

12000<br />

10000<br />

8000<br />

6000<br />

4000<br />

2000<br />

Production CP Wind Index<br />

CP Wind Index<br />

Regression: The graph shows the<br />

regression between the monthly<br />

power production and the monthly CP<br />

Wind Index at the station Aberdeen.<br />

CP Wind Index<br />

14000<br />

12000<br />

10000<br />

8000<br />

6000<br />

4000<br />

Regression Production vs CP Wind Index<br />

y = 0.0008x + 560.7<br />

R² = 0.8285<br />

2000<br />

2500000 7500000 12500000 17500000<br />

Production (KwH)<br />

27


Wind Energy –CP Wind Index (2/3)<br />

Payout Profile<br />

Period: 01.01.2013 - 31.03.2013<br />

Strike: 7,500 CP Wind Index Points<br />

Tick: EUR 10 / CP Wind Index Point below 7,500<br />

Maximum Payout: EUR 550,000<br />

Payout in EUR<br />

60.000<br />

50.000<br />

40.000<br />

30.000<br />

20.000<br />

10.000<br />

0<br />

Payout Profile: CP Wind Index Put Option<br />

Number of CP Wind Index Points<br />

Option Payout<br />

28


Hydro Power –Dry Season Certificate (1/2)<br />

Hydro Power Producers are dependent on sufficient precipitation.<br />

To hedge against the risk arising from below average precipitation Hydro<br />

Power Producers use Dry Season Certificates<br />

Cumulative Precipitation in mm<br />

900<br />

800<br />

700<br />

600<br />

500<br />

400<br />

300<br />

Cumulative Precipitation 1. May - 31. October<br />

2009 2008 2007 2006 2005 2004 2003 2002 2001 2000<br />

Cumulative Rainfall<br />

29


Hydro Power –Dry Season Certificate (2/2)<br />

Payout Profile<br />

Period: 01.10.2013 - 31.10.2013<br />

Strike: 530 mm<br />

Tick: EUR 5,000<br />

Maximum Payout: 1,000,000 Payout in EUR<br />

Payout in EUR<br />

€1.200.000<br />

€1.000.000<br />

€800.000<br />

€600.000<br />

€400.000<br />

€200.000<br />

Payout Profile: Dry Season Certificate<br />

€0<br />

290 310 330 350 370 390 410 430 450 470 490 510 530 550 570<br />

Cumulative Precipitation in mm<br />

30


Many thanks for your attention!<br />

Teresa Schorstein<br />

Business Development & Third Party Sales<br />

(+41) 44 205 99 13<br />

teresa.schorstein@celsiuspro.com<br />

www.celsiuspro.com<br />

31

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