Feedstock Pricing
Recycled paper pricing structures provide a benchmark for calculating the fluctuating cost of raw materials used in secondary fiber paperboard. For manufacturers of recycled cartonboard, the coated recycled board OCC index tracks the market price of old corrugated containers, which serve as the primary furnish component for the board’s interior plies. This index provides a transparent basis for adjustive pricing between the board mill and the packaging converter.
It helps manage the risk associated with the volatile secondary fiber market. The index is updated regularly by industry pricing publishers.
Cost Correlation
Old corrugated containers represent the largest single cost component in the manufacture of recycled paperboard. When the market price of these containers rises, the production cost for the board mill increases almost immediately. By linking the finished paperboard price to the coated recycled board OCC index, manufacturers can pass through these raw material cost fluctuations without renegotiating contracts.
This arrangement protects the mill from sudden surges in waste paper costs, while ensuring that the converter benefits when the secondary fiber market declines. The mechanism creates a stable and predictable trading relationship across the supply chain. In addition, it reduces the administrative burden of manually tracking waste paper prices across different regions and collection networks.
This transparency builds trust between the paperboard supplier and the consumer goods company.
Contract Adjustment
Commercial contracts use the index to calculate monthly or quarterly price adjustments for the finished board. If the coated recycled board OCC index moves beyond a predetermined threshold, the price per tonne of the board is adjusted by a corresponding amount. This formula-based adjustment reduces the need for frequent contract negotiations and ensures that both parties are treated fairly.
In practice, the index helps maintain a steady flow of materials during periods of market volatility.