type
concept
created
Tue Apr 07 2026 02:00:00 GMT+0200 (Central European Summer Time)
updated
Tue Apr 07 2026 02:00:00 GMT+0200 (Central European Summer Time)
sources
raw/articles/PRD
tags
pricing indices market-data competitive-context foex risi

FOEX and RISI Indices

abstract
FOEX and RISI are existing paper price indices that cover production (non-surplus) prices, leaving a gap in surplus price discovery that the marketplace aims to fill with its own transaction-based pricing data.

Overview

The paper industry has established price benchmarks through organizations like FOEX (a Finnish pulp and paper price reporting agency) and RISI (now part of Fastmarkets, a global commodity price reporting service). These indices track production paper prices across grades and regions, providing reference points for contract negotiations and market analysis.

However, these indices cover production prices only -- they do not benchmark surplus paper. This is a critical gap that defines the marketplace's competitive opportunity.

The Price Discovery Problem

From the PRD's problem statement: "There is no Bloomberg for paper surplus." The $400B+ global paper market generates billions in surplus annually, yet:

What FOEX and RISI Provide

These indices give production price reference points:

Example benchmark context: standard production kraftliner might reference at $700-800/MT on FOEX, while surplus kraftliner from Mara's list trades at $395-465/MT -- a 40-50% discount.

Where the Marketplace Fits

The marketplace creates a new data layer that FOEX and RISI do not cover:

Data Point FOEX/RISI Marketplace
Production prices Yes No
Surplus prices No Yes (from transactions)
Regional price variations Partially Yes (visibility rule adjustments)
Quality-adjusted pricing No Yes (A/B/C grade tracking)
Real-time availability No (weekly/monthly) Yes (on ingestion)
Small lot pricing No Yes (lots as small as 5 MT)
Freight-inclusive comparison No Yes (container proposal with freight)

Over time, as transaction volume grows, the marketplace accumulates surplus pricing data that becomes a de facto surplus price index -- a competitive moat that grows with each completed transaction.

Relevance to Matching and Pricing

The matching algorithm uses a price_within_budget check that compares the surplus price (adjusted for geography) against the buyer's max_price_per_mt. While this is not scored as a dimension (it is a boolean flag), price context from FOEX/RISI could inform:

Future Opportunity

In V2+, the marketplace could:

Sources

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