ARGUS Marine Fuels Forward Curves
The global bunker industry is about to undergo a fundamental shift ahead of the IMO 2020 cap on sulphur content in marine fuels. Argus Marine Fuels Forward Curves service provides price transparency for companies involved in the bunker fuels markets.
Argus forward curves are built from unbiased and transparent industry-specific methodologies, producing market representative values that are free from distortion. This data and deep market insight support effective risk management to benefit your bottom line.
Markets covered
North America
- Gulf coast fuel oil 0.5%
- NY Harbor fuel oil 0.5%
- NY Harbor marine gasoil 0.5%
- NY Harbor residual fuel oil 1%
- Gulf coast residual fuel oil 3%
Europe
- Fuel oil 0.5% NWE
- VGO 0.5% NWE
- Marine gasoil 0.1% NWE
- Fuel oil high-sulphur cargo NWE
- Fuel oil low-sulphur NWE
Asia
- Fuel oil high-sulphur 380 cst Singapore swap
- Singapore high-sulphur 380 cst fuel oil bunker delivered
- Singapore low-sulphur fuel oil 0.5% bunker delivered
- Singapore marine gasoil 0.1% bunker delivered
- Fuel oil bunker 0.5%S 380 cst Zhoushan
- Fuel oil high-sulphur 380 cst Fujarirah
Key features
How clients use our data
A proven, reliable tool for risk-management and analytical processes, including:
- Mark-to-market (MTM) accounting
- Value-at-risk (VaR)
- Potential future exposure (PFE)
- Deal valuation
- Regression analysis
- Scenario analysis
- Valuing option premiums associated with forward crude contracts
Customers that benefit
The Argus Marine Fuels Forward Curves service is essential for anyone with exposure to global bunker markets. Below are examples of how clients use this service:
- Vessel owners use our forward curves to determine fuel costs and commitments for the coming fiscal year and to make informed hedging decisions when securing fuel supply.
- Risk managers use our forward curves data for unbiased, third-party validation against counterparties, internal valuations, and for mark-to-market purposes for daily profit and loss assessments.
- Traders rely on our extensive historical analysis to determine locational and temporal spread relationships and use prior-day curves as a reference when entering the market.
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