Weather Derivatives
Weather Derivatives — Index-Based Risk Transfer, Market Structure, and the Intersection of Meteorology and Finance
Weather derivatives are financial instruments whose payoff is linked to the realization of a measurable weather variable — such as temperature, rainfall, snowfall, or wind speed — over a specified period of time. Unlike traditional insurance, which indemnifies actual loss, weather derivatives settle based on an index derived from meteorological observations, allowing counterparties to hedge volumetric or revenue exposure to weather variability rather than physical damage. These instruments occupy a specialized segment of the capital markets at the intersection of commodities trading, insurance risk transfer, energy finance, and structured derivatives, and are fundamentally driven by statistical weather distributions, index construction, model risk, and counterparty credit rather than by the performance of conventional financial assets. Within the broader set of weather-related chapters in this guide — which also covers weather-linked securitizations, renewable energy weather hedging, and ILS/catastrophe bond comparisons — this chapter addresses the weather derivative itself: its mechanics, history, market structure, named participants, and the analytical discipline required to evaluate it from the trading desk level.
https://link.springer.com/book/10.1007/978-1-4614-6071-8
https://en.wikipedia.org/wiki/Weather_derivative
Corvid Partners is a global leader in the valuation, analysis, and advisory of weather-linked derivatives, structured notes, and insurance-linked risk-transfer instruments. Members of Corvid have structured, hedged, valued, and analyzed weather derivatives across the full development arc of the market — from its origins in energy-sector deregulation through the expansion of exchange-traded HDD and CDD contracts, the contraction following the financial crisis, and the current environment driven by climate volatility, renewable energy growth, and increasing institutional demand for non-correlated risk. This experience spans OTC bilateral swaps, CME-listed futures and options, parametric structures, and securitized weather-risk vehicles across energy, agriculture, and infrastructure sectors, and reflects a practitioner's understanding of how weather risk is modeled, priced, and hedged — from the trading desk level — at the intersection of commodities trading, insurance risk transfer, and structured finance.
The 1996 Aquila/ConEd Transaction — The Origin of the Market
The first official weather derivative was transacted in July 1996 when Aquila Energy structured a dual-commodity hedge for Consolidated Edison Company of New York. The transaction involved ConEd's purchase of electric power from Aquila for the month of August — the price was agreed upon, but Aquila embedded a weather clause in the energy supply contract providing that Aquila would pay ConEd a rebate if August turned out to be cooler than expected. The measurement was referenced to Cooling Degree Days at New York City's Central Park weather station, with an expected August CDD total of approximately 320. If total CDDs fell 0 to 10 percent below the expected level, ConEd received no discount on the power price. If CDDs fell 11 to 20 percent below normal, ConEd received a $16,000 discount. Additional discounted levels were embedded for progressively greater departures from normal. The structure was not yet called a weather derivative — it was a weather clause in an energy supply contract — but it established the foundational template: an index measured at a specific weather station, a strike level, a defined payoff formula, and a premium embedded in the commodity price.
https://www.daytrading.com/weather-derivatives
https://www.liquisearch.com/weather_derivative/history
https://www.cmegroup.com/trading/weather/files/WEA_intro_to_weather_der.pdf
The market's significance was immediately recognized by other energy companies. Aquila, Enron, and Amerada Hess were among the first to develop systematic weather derivative capabilities, each recognizing that temperature-driven demand variability was a fundamental and previously unhedgeable source of earnings volatility in deregulated energy markets. The 1997 Koch Energy/Enron Milwaukee transaction — in which Koch would pay Enron $10,000 for every degree above normal temperature and Enron would pay Koch for every degree below normal — represented the first fully standalone OTC weather derivative separated from an underlying energy supply contract. Willis was also involved in one of the landmark 1997 transactions, marking the entry of major insurance brokers into the market from its earliest days. Energy suppliers used their experience in commodities structuring to create what was in effect a new asset class from first principles — the first systematic financial market for a non-financial underlying that cannot be stored, delivered, or arbitraged.
https://en.wikipedia.org/wiki/Weather_derivative
https://www.insurancejournal.com/magazines/mag-features/2001/12/10/18372.htm
https://wrma.org/page/history-of-weather-market
The CME's 1999 Launch — Exchange-Traded Weather Futures and Options
In August 1999, CME Group received CFTC approval to list Heating Degree Day and Cooling Degree Day futures. The first weather futures contracts — based on HDDs, coinciding with the beginning of the heating season — listed in September 1999. CDD-based contracts followed in January 2000. The CME's entry transformed weather risk from a purely bilateral, opaque OTC market into a centrally cleared, standardized market with transparent pricing and eliminated counterparty credit risk. The exchange initially listed contracts for U.S. cities, then added European cities on a Cumulative Average Temperature basis and Tokyo on a Japanese yen-denominated CAT basis, establishing the foundation for a genuinely global weather risk market. In 2023, CME expanded the suite further by adding contracts for Paris, Essen, Burbank, Houston, Philadelphia, and Boston, boosting a portfolio that already included New York, Chicago, London, Amsterdam, and Tokyo. The new Essen HDD contracts traded 5,000 contracts in August 2023 alone in their debut month — a demonstration of latent demand in European markets.
https://www.cmegroup.com/articles/2023/cme-group-weather-suite-expanded.html
https://www.cmegroup.com/education/articles-and-reports/weather-options-overview
https://www.cmegroup.com/openmarkets/energy/2024/Weather-Derivatives-Grow-as-Risks-Intensify.html
Contract Mechanics — HDD, CDD, CAT, and the $20 Tick Value
At the desk level, understanding weather derivative mechanics requires working through a specific example rather than describing them abstractly. The CME's standard contract for U.S. cities is the simplest entry point.
A Heating Degree Day is calculated daily as the greater of zero and the difference between 65 degrees Fahrenheit and the average daily temperature — the midpoint of the day's high and low. The 65-degree baseline was established by utility engineers who observed that commercial buildings begin heating when outdoor temperatures fall below that level. A day with an average temperature of 45°F produces 20 HDDs. A day with an average temperature of 70°F produces zero HDDs. Monthly HDD contracts accumulate daily HDD values over each calendar day of the contract month. If the average daily temperature for all 31 days of a month is 45°F, the cumulative monthly HDD is 620 (31 days multiplied by 20). The futures contract settles at $20 per HDD index point, so this contract settles at $12,400. A single one-degree change in the monthly average temperature shifts the contract value by $620. Seasonal strip contracts accumulate HDD or CDD values over a five-month winter or summer season, allowing utilities and other large commercial hedgers to manage full-season revenue exposure in a single position rather than rolling monthly contracts.
https://www.cmegroup.com/trading/weather/files/weather-fact-card.pdf
https://www.cmegroup.com/education/lessons/overview-of-weather-markets
https://www.cmegroup.com/rulebook/CME/IV/400/403/403.pdf
Cooling Degree Day contracts follow the inverse logic — they measure the cumulative daily excess of the average temperature above 65 degrees Fahrenheit and are used for summer hedging. A day with an average temperature of 80°F produces 15 CDDs. Cumulative Average Temperature contracts — used for European cities and Tokyo — take a simpler approach, simply accumulating daily average temperatures over the measurement period without comparison to a baseline. The Essen CAT contract, for example, accumulates daily average temperatures in Celsius and multiplies by €20 per index point. The Tokyo CAT contract multiplies by ¥2,500 per index point.
https://www.cmegroup.com/education/lessons/overview-of-weather-markets
https://www.cmegroup.com/articles/2023/cme-group-weather-suite-expanded.html
A concrete utility hedging example illustrates the practical application. A Houston electricity utility forecasts 200 million kilowatt hours of summer sales at $0.26 per kilowatt hour — projected revenue of $52 million — in a month where average temperatures are expected to produce a CDD index of 400. If July is slightly cooler than expected, with an average daily temperature of 77 degrees rather than the expected 78 degrees, the CDD index settles at 372 — 7 percent below expectation. This decline in CDD implies a sales decline from 200 million kWh to approximately 190.9 million kWh, producing a revenue shortfall of approximately $2.37 million. The utility hedges this exposure by selling approximately 4,225 CDD futures at the expected settlement level of 400. When the index settles at 372, the futures position gains approximately $2.37 million — the 28-CDD shortfall multiplied by $20 per point multiplied by 4,225 contracts — offsetting the revenue loss from reduced demand.
https://www.cmegroup.com/education/lessons/hedging-weather-risk.html
https://www.cmegroup.com/articles/2023/cme-group-weather-suite-expanded.html
The OTC Market — ISDA Documentation, Customization, and Basis Risk
The CME's exchange-traded contracts represent the most transparent and liquid part of the weather derivatives market, but most transactions by notional volume occur in the OTC market, where sponsors can tailor contracts precisely to their specific geographic exposure, measurement period, index definition, and payoff formula. OTC weather derivatives are typically documented under the ISDA Master Agreement framework, with confirmations specifying the weather station, measurement period, index definition, strike level, notional amount per index point, payment formula, and calculation agent. Because the CME's listed contracts reference specific major city airports, a utility with generation assets or customer load dispersed across a multi-state region will typically prefer a bespoke OTC contract that aggregates temperature data across multiple stations in proportion to its actual geographic exposure — accepting higher counterparty credit risk in exchange for lower basis risk.
https://www.cmegroup.com/trading/weather/files/WEA_intro_to_weather_der.pdf
https://arxiv.org/abs/2409.16599
Basis risk is the central analytical challenge in weather derivative design. It arises in two forms. Station basis risk is the mismatch between the temperature measured at the contractually specified weather station and the temperature at the location where the hedger's actual exposure materializes. A natural gas distribution utility hedging heating demand in the Boston area against Logan Airport temperature data bears station basis risk if its service territory extends into suburban areas with meaningfully different temperature profiles. Economic basis risk is the mismatch between the weather index and the hedger's actual economic exposure — a utility whose customers have improved insulation and efficient HVAC systems may find that its load is less correlated with HDDs than historical data suggested, because technological change has shifted the relationship between temperature and demand. Both forms of basis risk must be modeled explicitly in structuring an effective hedge, and both are frequently underestimated by first-time participants.
https://www.sciencedirect.com/science/article/pii/S0378426609003306
https://arxiv.org/abs/2409.16599
Valuation — Why Black-Scholes Doesn't Apply
The pricing of weather derivatives cannot rely on the no-arbitrage replication arguments that underlie Black-Scholes and most conventional derivatives pricing because the underlying variable — temperature, rainfall, wind speed — is not a traded asset. There is no portfolio of securities that replicates a temperature outcome, and therefore no risk-free arbitrage relationship constrains the price. Valuation therefore relies entirely on statistical modeling of weather distributions, including mean reversion — temperatures return toward seasonal averages — seasonality, long-term climate trends, and spatial correlation between locations. Academic research has emphasized the importance of properly modeling the mean-reverting nature of temperature processes, which exhibit stronger autocorrelation over days and weeks than over months, as well as the need to account for long-term climate trends when using historical data to price forward-looking contracts.
https://www.tandfonline.com/doi/abs/10.1080/09603100701765166
https://arxiv.org/abs/1905.07546
https://link.springer.com/book/10.1007/978-1-4614-6071-8
In practice, OTC weather derivative pricing uses a combination of historical burn analysis — simulating the contract's settlement value across the full historical record at the relevant weather station — and forward-looking adjustments for known climatic patterns such as El Niño and La Niña cycles, which systematically shift temperature distributions for months at a time and have material effects on HDD and CDD settlements across the U.S. and internationally. The CME's 2023 suite expansion was partly motivated by the expected end of La Niña and beginning of El Niño conditions predicted for 2023 through 2027 — the World Meteorological Organization forecast that this period would be the warmest five-year period on record, directly increasing the demand for summer cooling degree day protection.
https://www.cmegroup.com/articles/2023/cme-group-weather-suite-expanded.html
https://www.sciencedirect.com/science/article/pii/S0378426609003306
Named Market Participants — Who Trades and Why
Participants in the weather derivatives market include energy companies, utilities, agricultural firms, reinsurers, hedge funds, commodity trading houses, banks, and specialized risk intermediaries. These instruments are used primarily to hedge exposure to fluctuations in demand, production, or revenue caused by abnormal weather conditions, although they are also traded opportunistically by quantitative funds and proprietary trading desks seeking uncorrelated returns.
The named participants who define the current market are identifiable and their roles are well-documented. Nephila Climate — whose CEO Maria Rapin describes the market as having gone from obscure to mainstream in two decades — is the most prominent ILS fund participant, providing reinsurance capital to absorb weather risk across OTC structured transactions, exchange-traded positions, and renewable energy proxy revenue swaps. Norwegian renewables firm Statkraft has publicly disclosed its use of CRT derivatives to offset meteorological risks on its generation portfolio. BGC Group's Nicholas Ernst, managing director for climate derivatives, brokers long-term OTC weather agreements and describes using Speedwell's historical indices to help renewable energy firms benchmark their wind production and structure hedges — including a call option tracking Germany's first-quarter wind production that his team was brokering as of 2024. Parameter Climate, founded by Marty Malinow — who describes himself as the éminence grise of the market and was one of Enron's earliest weather derivatives desk hires — provides advisory and structuring services and operates the ClimateDelta platform for measuring and monitoring climate risk transfer flows.
https://www.cmegroup.com/openmarkets/energy/2024/Weather-Derivatives-Grow-as-Risks-Intensify.html
https://www.insurancejournal.com/news/international/2024/05/08/773370.htm
Arbol, founded in 2018 and having raised $60 million in Series B funding in 2024, is the most prominent digital-native weather derivatives participant, transacting over $1 billion in notional risk in 2023 across deals carrying approximately $250 million in gross written premium. Arbol operates across agriculture, energy, and parametric reinsurance, with Lloyd's coverholder status backed by Beazley, and works with renewable energy operators to put floors on portfolio generation volumes and with utilities to hedge regional supply-demand imbalance risks. Its CEO Sid Jha has described the platform's goal as turning climate risk into an investable asset class by bringing transparency and data-driven objectivity to markets where traditional insurance has been expensive, slow, and inaccessible to smaller participants.
Syngenta's AgriClime program — in which the agricultural company offers farmers a cash refund of up to 30 percent of their purchase price for specific crops if weather conditions fail to provide suitable growing conditions — is one of the most widely cited examples of a weather derivative-backed product reaching non-institutional end users. During the UK's most recent planting season, payouts were made to 99 percent of Syngenta's hybrid barley customers, demonstrating both the frequency with which these instruments trigger in agricultural applications and the genuine value transfer they produce for end users who lack the sophistication or scale to access the OTC market directly.
https://www.cmegroup.com/openmarkets/energy/2024/Weather-Derivatives-Grow-as-Risks-Intensify.html
The Market in 2024 — Size, Growth, and Structure
The current market reached approximately $25 billion in notional value in 2024 according to Speedwell Climate founder Stephen Doherty, with the exchange-traded CME segment representing as little as 10 percent of total activity and the majority occurring in the OTC market. CME average trading volumes for its weather suite surged over 260 percent in 2023 compared to 2022, with the number of outstanding contracts 48 percent higher year-on-year as of May 2024. Anne Krema, Commodity Research and Product Development Director at CME Group, attributes the surge directly to the increasing frequency of extreme weather events — heat waves and deep freezes — that make corporate weather risk visible in quarterly earnings rather than a background operational concern.
https://www.cmegroup.com/openmarkets/energy/2024/Weather-Derivatives-Grow-as-Risks-Intensify.html
https://www.cmegroup.com/news/2024/weather-derivatives-grow-as-risks-intensify.html
https://www.fnlondon.com/articles/traders-flock-to-weather-derivatives-amid-climate-fears-20240403
The growth is driven by intersecting forces. Climate disclosure requirements in both the EU and the U.S. are forcing companies to formally quantify weather risks that were previously absorbed as unhedged noise in earnings results. The rapid expansion of merchant renewable energy — where project revenues depend directly on wind and solar resource variability — creates new and large populations of weather-exposed entities that need volumetric risk protection. And the increasing frequency of extreme events has made weather hedging a risk management priority for industries — agriculture, tourism, transportation, construction, retail — that historically did not participate in structured weather risk markets.
https://www.cmegroup.com/articles/2023/cme-group-weather-suite-expanded.html
https://www.mdpi.com/2813-2432/4/2/11
The Post-Enron Contraction and the Market's Recovery
The weather derivatives market experienced a severe setback following Enron's 2001 bankruptcy. Enron had been the most active market maker and the most visible proponent of weather derivatives as a legitimate asset class — its collapse associated the product, unfairly, with accounting fraud rather than genuine hedging utility. As one German commodities trader noted in 2004, the Enron collapse hurt the market for weather products by making them seem strange to the public even though they were genuinely for hedging rather than speculation. Banks subsequently reduced proprietary trading activity, regulatory costs increased following the Dodd-Frank Act, and OTC market volume contracted through the financial crisis period. The market's recovery — driven by climate volatility, renewable energy growth, and the entry of digital-native platforms — represents a structural reconfiguration rather than a simple return to pre-crisis levels, with ILS funds, parametric insurance specialists, and algorithmic traders replacing much of the proprietary bank desk activity that characterized the early market.
https://www.insurancejournal.com/news/international/2024/05/08/773370.htm
https://en.wikipedia.org/wiki/Weather_derivative
Regulatory Framework
The regulatory framework governing weather derivatives depends on the form of the transaction. Exchange-traded contracts fall under CFTC jurisdiction as commodity futures. OTC swaps are governed by Dodd-Frank Act derivatives regulations, including reporting obligations, clearing requirements for standardized swaps, and margin requirements for certain counterparties. Because these instruments are index-based and do not indemnify actual loss, they are generally treated as derivatives rather than insurance, although certain parametric structures overlap with insurance products and may be subject to state insurance regulation when structured as indemnity-adjacent products. The CFTC, SEC, and state insurance regulators each have potential jurisdiction over different forms of weather risk transfer, requiring careful attention to regulatory characterization at the structuring stage.
https://www.cftc.gov/IndustryOversight/ContractsProducts/index.htm
https://arxiv.org/abs/2409.16599
Conclusion
Weather derivatives are among the most analytically demanding instruments in the capital markets — not because the cash flow mechanics are complex, but because the underlying variable is genuinely non-tradable, the pricing is purely statistical rather than arbitrage-based, the basis risk between the index and the actual economic exposure can be substantial and is frequently underestimated, and the market combines elements of commodity derivatives, insurance risk transfer, structured finance, and meteorological modeling that rarely coexist in a single practitioner's skill set. The Aquila/ConEd August 1996 CDD clause embedded in a power supply contract — paying ConEd a $16,000 rebate if CDDs fell 11 to 20 percent below the expected 320 — was humble in scale but structurally complete: an index, a weather station, a strike, a payoff formula, and a measured meteorological outcome. Every weather derivative traded today, from a CME HDD futures contract settling at $20 per index point to a bespoke OTC wind production swap with settlement calculated by REsurety across a portfolio of 400 MW of wind assets, is a direct descendant of that July 1996 structure.
Corvid Partners operates across trading, structuring, hedging, valuation, and advisory functions in this market — integrating quantitative modeling with legal and market knowledge to evaluate these transactions in both primary issuance and secondary trading contexts, with a desk-level understanding of where basis risk, model sensitivity, and liquidity constraints create the most consequential gaps between theoretical pricing and executable reality.
https://www.cmegroup.com/trading/weather/files/WEA_intro_to_weather_der.pdf
See Also:
Weather-Linked Securitizations — Weather-linked securitizations are the capital markets complement to the OTC and exchange-traded weather derivatives described here, applying securitization mechanics to parametric weather risk that OTC contracts address in bilateral format. The Weather-Linked Securitizations chapter covers how ABS structures are adapted to non-indemnity weather triggers and the investor base that accesses packaged weather risk through the capital markets.
Renewable Energy Hedging — Weather derivatives are the primary hedging instrument for renewable energy production risk, and the structural design and pricing of weather contracts for energy applications is a central focus of that chapter. The Renewable Energy Hedging chapter covers the energy-specific applications of the instruments described here in the broader context of generation asset risk management.
ART Comparison — Weather derivatives sit within the broader universe of alternative risk transfer instruments alongside cat bonds, ILS structures, and insurance-linked securitizations. The ART Comparison chapter covers the analytical framework for positioning weather derivatives in that broader context.
Catastrophe Bonds — Cat bonds cover the high-severity tail of atmospheric risk that weather derivatives are not designed to address. The Catastrophe Bonds chapter covers the capital markets instrument used for risk transfer at the catastrophe severity level, providing the upper end of the risk spectrum of which weather derivatives cover the lower frequency, lower severity range.
Bibliography
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https://en.wikipedia.org/wiki/Weather_derivative
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https://www.cmegroup.com/trading/weather/files/WEA_intro_to_weather_der.pdf
CME Group — Weather Derivatives Grow as Risks Intensify (260% volume surge 2023, $25B market, Statkraft, Dubai, BGC Group, Speedwell, new cities 2023)
https://www.cmegroup.com/news/2024/weather-derivatives-grow-as-risks-intensify.html
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https://www.cmegroup.com/openmarkets/energy/2024/Weather-Derivatives-Grow-as-Risks-Intensify.html
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https://www.cmegroup.com/articles/2023/cme-group-weather-suite-expanded.html
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https://www.cmegroup.com/education/lessons/hedging-weather-risk.html
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https://www.cmegroup.com/education/lessons/overview-of-weather-markets
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https://www.cmegroup.com/education/articles-and-reports/weather-options-overview
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https://www.cmegroup.com/rulebook/CME/IV/400/403/403.pdf
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https://www.cmegroup.com/rulebook/CME/IV/400/405/405.pdf
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https://www.cmegroup.com/trading/weather/files/weather-fact-card.pdf
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https://www.cmegroup.com/news/2023/cme-group-weather-suite-expanded.html
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https://link.springer.com/book/10.1007/978-1-4614-6071-8
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https://www.mdpi.com/2813-2432/4/2/11
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https://arxiv.org/abs/1905.07546
arXiv — Parametric Weather Risk and Basis Risk
https://arxiv.org/abs/2409.16599
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https://www.fnlondon.com/articles/traders-flock-to-weather-derivatives-amid-climate-fears-20240403
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https://wrma.org/page/history-of-weather-market
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https://www.daytrading.com/weather-derivatives
Liquisearch — Weather Derivative History (ConEd 320 expected CDDs, 11-20% below trigger, $16,000 discount)
https://www.liquisearch.com/weather_derivative/history
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https://www.insurancejournal.com/magazines/mag-features/2001/12/10/18372.htm
Insurance Journal — Worsening Weather Igniting $25 Billion Weather Derivatives Market (Marty Malinow/Parameter Climate, Nephila Climate CEO Maria Rapin, BGC Group Nicholas Ernst, Syngenta AgriClime 99% payout)
https://www.insurancejournal.com/news/international/2024/05/08/773370.htm
Artemis — Arbol Raises $60M Series B ($1B notional 2023, $250M GWP, Lloyd's coverholder, 15 countries)
InsTech — Arbol: Enabling Climate Risk Transfer in Renewables and Reinsurance (floor on wind farm portfolio generation, utility grid balancing hedges)
Arbol — Energy Derivatives (ERA5 wind/solar/precipitation data, custom HDD/CDD indices, global location and tenor)
https://www.arbol.io/solutions/energy
Arbol — Understanding Weather Derivatives and Their Impact
https://www.arbol.io/post/understanding-weather-derivatives-and-their-impact
U.S. Commodity Futures Trading Commission
Corvid Partners
The sources cited above have been referenced in good faith from publicly available materials. Corvid Partners Limited makes no warranty as to their accuracy, completeness, or currency. Transaction details, market data, spread levels, recovery figures, and historical figures cited in this chapter should be independently verified before being relied upon for any investment, structuring, or advisory purpose. Legal frameworks, market conventions, and regulatory requirements referenced herein reflect conditions as understood at the time of writing and may no longer be current. Nothing in this chapter constitutes investment, financial, legal, or tax advice. For full disclaimer see “Disclaimer” page via the Corvid Field Guide landing page. © Corvid Partners Limited 2026.