Agriculture

Any business in any agricultural supply chain that wishes to hedge against the risk of adverse weather and climate events.

Arbol utilizes crop yield data published by trusted, third-party sources to design and implement a customized crop yield index to mitigate each client’s unique risks. Clients can define the proportion each crop and location represents in the crop yield index, and the specific crop yield triggers that result in payment. When published, the trusted, third-party crop yield data is applied to the chosen parameters and a payment amount is determined.

Globally, subject to availability of trusted, third-party data.

A cotton gin in Lubbock, Texas, was concerned about low cotton yields that would reduce bales ginned and revenue. To hedge against the risk of decreasing revenue, we structured a cotton yield index product to pay if cotton yields were less than the chosen trigger.

Any business in any agricultural supply chain that wishes to hedge against the risk of adverse weather and climate events.

Arbol utilizes precipitation data published by trusted, third-party sources to design and implement a customized precipitation index to mitigate each client’s unique risks. Clients can define the proportion each location represents in the precipitation index, and the specific precipitation triggers that result in payment. When published, the trusted, third-party precipitation data is applied to the chosen parameters and a payment amount is determined.

Globally, subject to availability of trusted, third-party data.

A wheat farmer in Garden City, Kansas, was concerned about low precipitation that would reduce wheat yields. To hedge against the risk of decreasing revenue, we structured a precipitation index product to pay if precipitation was less than the chosen trigger.

Any business in any agricultural supply chain that wishes to hedge against the risk of adverse weather and climate events.

Arbol utilizes temperature data published by trusted, third-party sources to design and implement a customized temperature index to mitigate each client’s unique risks. Clients can define the proportion each location represents in the temperature index, and the specific temperature triggers that result in payment. When published, the trusted, third-party temperature data is applied to the chosen parameters and a payment amount is determined.

Globally, subject to availability of trusted, third-party data.

A fruit packer in Lakeland, Florida, was concerned about freezing temperatures that would reduce fruit volumes. To hedge against the risk of decreasing revenue, we structured a temperature index product to pay if temperature was less than the chosen trigger.

Any business in any agricultural supply chain that wishes to hedge against the risk of adverse weather and climate events.

Arbol utilizes weather data published by trusted, third-party sources to design and implement a customized weather index to mitigate each client’s unique risks. Clients can define the proportion each location represents in the weather index, and the specific weather triggers that result in payment. When published, the trusted, third-party weather data is applied to the chosen parameters and a payment amount is determined.

Globally, subject to availability of trusted, third-party data.

A grain exporting company in New Orleans, Louisiana, was concerned about a hurricane that would disrupt grain shipments. To hedge against the risk of decreasing revenue, we structured a hurricane index product to pay if maximum sustained wind speeds of the hurricane were greater than the chosen trigger.