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Weather Risk Management Association
2006 Survey ResultsJune 2006
Agenda
1. Overview of Survey2. Survey Design and Implementation3. Participation4. Results
Slide 32006 Survey ResultsPricewaterhouseCoopers
June 2006
Objectives of Survey
• Establish size of market between April 2005 and March 2006• Provide a consistent measure of market developments over
time. – PwC has conducted the survey since 2001.
• Increase awareness of market
Overview
Slide 42006 Survey ResultsPricewaterhouseCoopers
June 2006
Summary of Results
• Significant Growth in CME, which increased by a factor of 8 (measured by notional value)
• Decline in OTC Market by approximately half since last year• A higher percentage of OTC trades were with counterparties
that did not participate in the survey.
Overview
Slide 52006 Survey ResultsPricewaterhouseCoopers
June 2006
Pre-survey (sent in early April 2005)• Sent to All WRMA members• Will you participate? 17 companies responded affirmatively in
2006 (17 in 2005, 19 to 20 in previous years)
Survey (sent April 21, 2005)• 5 Pages in total • General information about company
- Inquiries by end-users- Information on Contracts
• Responses confidential• Chicago Mercantile Exchange trades reported directly by CME
Survey Design and Implementation
Survey Design and Implementation
Slide 62006 Survey ResultsPricewaterhouseCoopers
June 2006
Survey Page 1
Survey Design and Implementation
Part I. General Information
1 Company name
2 Name of person responding to survey ("respondent")
3 Title of respondent
4 Telephone number of respondent
5 Email address of respondent
6 Please check the box identifying your company's primary line of business.
Agriculture Energy Other
Banking Insurance
7 We are interested in the types of end-users expressing interest in the weather risk management market.Please provide a breakdown of where your primary market (end-user) deals (all inquiries, not just closeddeals) originate by the following sectors (percent of trades or inquiries):
Share of TotalAgriculture % Transportation %
Construction % Retail %
Energy % Other %
Slide 72006 Survey ResultsPricewaterhouseCoopers
June 2006
Survey Page 2
Survey Design and Implementation
1 2 3 4 5 6 7
No.
ContractBegin Date(mm/dd/yy)
ContractEnd Date
(mm/dd/yy)
WeatherMeasure
(enter codefrom Table A)
Geographic Region where Weather Event Measured (enter code from
Table B)
Payment per degree day
(enter NA if payment not based on degree
days) ($US)
Maximum Contingent Payment
(Notional Value; see instructions for
swaps)($US)
Counterparty listed inTable C?(Y or N)
123456789
10
Table 1Weather Risk Management Contracts Bought or Sold That Have Begin Dates After March 31, 2005 and Before April 1, 2006
Slide 82006 Survey ResultsPricewaterhouseCoopers
June 2006
Instructions for Reporting Contracts
• Begin dates between April 1, 2005 and March 31, 2006
• The notional value for a swap contract is the maximum contingent payment to your company plus the maximum contingent payment to the counterparty.
• For trades without maximum contingent payments, one of the following methodologies used:
- A notional value agreed to by both parties to the trade.
- The maximum potential loss based on the appropriate weather measure over the last 25 years.
• Survey respondents instructed not to report CME trades
Survey Design and Implementation
Slide 92006 Survey ResultsPricewaterhouseCoopers
June 2006
Chicago Mercantile Exchange Contracts
• CME data collected directly from CME
• Beginning this year, we report the notional value of CME trades as calculated by CME
– In prior surveys, PwC performed an independent calculation of notional value in an attempt to make the CME values conceptually closer to the OTC notional values
– This methodology underestimated notional values for seasonal contracts
– Historical values have been restated in PwC report for consistency
Survey Design and Implementation
Slide 102006 Survey ResultsPricewaterhouseCoopers
June 2006
Weather Measures
Survey Design and Implementation
Weather Events Determining Contingent Payments
Weather Measures Depending Exclusively on Temperature
Heating-degree-days measured in FahrenheitHeating-degree-days measured in CelsiusCooling-degree-days measured in FahrenheitCooling-degree-days measured in CelsiusOther exclusively temperature-based measures
Weather Measures Not Depending Exclusively on Temperature
Any measure based exclusively on rainfallAny measure based exclusively on snowfallAny measure based exclusively on windAny other measure, including combinations of the above
Slide 112006 Survey ResultsPricewaterhouseCoopers
June 2006
Geographic Regions
Survey Design and Implementation
Geographic Regions Where Weather Events are Measured
AsiaAustralian Continent
EuropeNorth America, West
North America, MidwestNorth America, East
North America, SouthOther
Slide 122006 Survey ResultsPricewaterhouseCoopers
June 2006
Survey Participants, 2005
ABN AmroAccord Energy LtdAXA ReBritish Gas Trading LtdCoriolis Capital LimitedGalileo WeatherGuaranteedWeatherHess Energy Trading LLCMerrill Lynch Commodities, Inc.Mitsubishi UFJ Securities Co.,Ltd.Mitsui Sumitomo Insurance Co., Ltd.Mizuho Corporate Bank.,Ltd.Nephila CapitalSwiss ReTokio Marine and Fire InsuranceVattenfall ABXL Weather & Energy
Participation
Slide 132006 Survey ResultsPricewaterhouseCoopers
June 2006
Change in Sample
2005 Survey Respondents 17
- Drops from 2005 4
+ New participants 4
= 2006 Survey Respondents 17
Participation
Slide 142006 Survey ResultsPricewaterhouseCoopers
June 2006
Participant Characteristics
2002 2003 2004 2005 2006Survey Survey Survey Survey Survey
Participation by Main Line of Business
Agriculture 1 - - - -Banking 4 3 3 3 4Energy 10 7 6 4 5Insurance 5 5 6 4 5Other - 4 4 6 3
Participants by Location of Respondent
Asia 5 6 6 6 4Europe 5 5 4 4 6North America 10 7 8 7 7Other - 1 1 - -
Participation
Slide 152006 Survey ResultsPricewaterhouseCoopers
June 2006
Distribution of Inquiries about Weather Risk Instruments, by Sector of Potential End-User
69%
7% 5% 4%
2%
13%Energy
Agriculture
Retail
Construction
Transportation
Other
Participation
Reported values weighted by number of trades reported by respondent.
46%
12%
7%
5%4%
26%
2005 Survey 2006 Survey
Slide 162006 Survey ResultsPricewaterhouseCoopers
June 2006
Number of Reported Contracts by Survey Participants
The number of trades reported by survey participants was 2,180 in this year’s survey
The total from last year’s survey was 4,057
All figures exclude CME trades
Results
Survey Summer Winter
2000/1 1,126 1,633
2001/2 868 3,069
2002/3 2,412 2,105
2003/4 1,175 1,987
2004/5 1,928 2,129
2005/6 1,036 1,144
0
1,000
2,000
3,000
4,000
5,000
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6
Summer Winter
Slide 172006 Survey ResultsPricewaterhouseCoopers
June 2006
Number of Trades on the CME
The CME reports 1,041,439 trades in summer 2005 and winter 2005-6 combined
2005-6 CME trades are up over 300% compared to 223,139 trades in 2004-5 period
Results
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
2002/3 2003/4 2004/5 2005/6
Summer Winter
Slightly more contracts sold in October to March period, similar to prior years, but differential smaller
Data before March 2004 adjusted to reflect change in tick size
Slide 182006 Survey ResultsPricewaterhouseCoopers
June 2006
Total Notional Value of weather risk contracts: 2000/1-2005/6(in millions of U.S. dollars)
Results
Note: CME Notional Values for all years have been revised to reflect CME-reported values.
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6
CME Winter
CME Summer
OTC Winter
OTC Summer
$2,517 $4,339 $4,188 $4,709
$9,697
$45,244
Slide 192006 Survey ResultsPricewaterhouseCoopers
June 2006
Average Notional Value of CME Contracts: 2004/5 – 2005/6(Thousands of U.S. dollars)
Results
0
5
10
15
20
25
30
35
40
45
2004/5 2005/6
Slide 202006 Survey ResultsPricewaterhouseCoopers
June 2006
CME Seasonal Contracts as a Share of Total CME Contracts(Number of Seasonal CME Contracts / Total CME Contracts)
Results
0%
10%
20%
30%
40%
50%
60%
2003/4 2004/5 2005/6
Slide 212006 Survey ResultsPricewaterhouseCoopers
June 2006
Average Notional Value of OTC Contracts: 2000/1 – 2005/6(Excludes CME trades, thousands of U.S. dollars)
Results
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6
Summer Winter
Slide 222006 Survey ResultsPricewaterhouseCoopers
June 2006
Distribution of Number of Contracts by Type: 2000/1 – 2005/6(Excludes CME trades)
Results
0%
20%
40%
60%
80%
100%
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6
Other
Rain
Other Temp
CDD
HDD
Slide 232006 Survey ResultsPricewaterhouseCoopers
June 2006
Trades by Type of Contract, Number of Contracts: 2004/5 - 2005/6 (Excludes CME)
2004/5
41%
36%
11%
12%
HDD CDD Oth Temp Other
Results
2005/6
30%
24%18%
28%
HDD CDD Oth Temp Other
Slide 242006 Survey ResultsPricewaterhouseCoopers
June 2006
Trades by Type of Contract, Notional Value of Contracts: 2004/5 – 2005/6(Including CME)
2004/5
66%
26%
6% 2%
HDD CDD Oth Temp Other
Results
2005/6
79%
18%
2%
1%
HDD CDD Oth Temp Other
Slide 252006 Survey ResultsPricewaterhouseCoopers
June 2006
OTC Trades by Type of Contract, Notional Value of OTC Contracts: 2004/5 – 2005/6(Excluding CME)
2004/5
29%
52%
15%4%
HDD CDD Oth Temp Other
Results
2005/6
29%
14%47%
10%
HDD CDD Oth Temp Other
Slide 262006 Survey ResultsPricewaterhouseCoopers
June 2006
Distribution of Total Number of Contracts by Region: 2000/1 – 2005/6(Excluding CME Trades)
Results
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6
Other
Europe
Asia
NA South
NA East
NA Mwest
NA West
Slide 272006 Survey ResultsPricewaterhouseCoopers
June 2006
Percent of Counterparties Not Participating in Survey: 2000/1 – 2005/6 (As a share of total number of contracts)
Results
6074
62 6476
61
0
10
20
30
40
50
60
70
80
90
2000/1 2001/2 2002/3 2003/4 2004/5 2005/6
Per
cen
t o
f T
ota
l
Slide 282006 Survey ResultsPricewaterhouseCoopers
June 2006
Summary
• The total value of trades in the 2005/6 survey reached $45.2 billion, compared to $9.7 billion in the 2004/5 survey
• The CME experienced significant increases in both the number of trades (increasing by a factor of 4) and the value of those trades (increasing by a factor of 8)
• Increased purchases of seasonal contracts on the CME contributed to significant increase in notional value
• Declines in the OTC market offset some of this increase, but relative to the size of the market, these declines were small
• HDD remains most common type of trade
Results
© 2006 PricewaterhouseCoopers LLP. All rights reserved. "PricewaterhouseCoopers" refers to PricewaterhouseCoopers LLP (a Delaware limited liability partnership) or, as the context requires, other member firms of PricewaterhouseCoopers International Ltd., each of which is a separate and independent legal entity. *connectedthinking is a trademark of PricewaterhouseCoopers LLP.
For more information, please contact:
John [email protected]