Overview

Argus Dirty Freight Forward Curves is a daily forward curve service providing modelled current market values for nine dirty freight routes across the Americas, Europe, Africa and Asia. Prices are published in $/t and Worldscale for 24 months forward, covering key tanker trade lanes from the US Gulf Coast, Caribbean, West Africa and Mideast Gulf. The service delivers independent, zero-arbitrage forward prices for trading, risk management and commercial planning.

At a glance

  • Nine dirty freight routes across four global regions.
  • 24 months of forward prices, published daily.
  • Prices in $/t and Worldscale at two timestamps.
  • Zero-arbitrage pricing across all strip periods.
  • Supports mark-to-market, VaR and deal valuation.
  • Enables independent freight curve validation.

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Who uses this service

Argus Dirty Freight Forward Curves is used by organisations with direct exposure to global tanker freight markets, supporting risk, trading, planning and analytical decisions across the value chain.

Risk managers

  • Validate forward curves against counterparty data using an independent, unbiased source.
  • Apply forward prices for mark-to-market accounting and daily profit and loss assessments.
  • Calculate value-at-risk, potential future exposure and deal valuation.

Traders and trade analysts

  • Reference prior-day curves as a daily starting point when entering dirty freight markets.
  • Identify locational and temporal spread relationships across key tanker trade routes.
  • Support deal valuation, regression analysis and scenario analysis decisions.

Market analysts

  • Analyse price relationships and spread dynamics across dirty freight routes globally.
  • Monitor forward market structure across the Americas, European, African and Asian routes.
  • Use historical curve data to identify pricing trends across freight lanes and time periods.

Planning and budget analysts

  • Model future freight costs and budget projections using independent forward price references.
  • Stress-test tanker freight price assumptions across planning horizons using scenario analysis.
  • Support procurement and chartering decisions with 24-month forward price data.