EU Panel Price Tracker Methodology

How Furnilytics builds its proprietary EU particle board and MDF price tracker from trade-price anchors, private weekly online panel-price observations, quality controls, and recent-month nowcasting.

What the tracker measures

The EU panel price tracker follows monthly price pressure in particle board and MDF markets where standard public price indexes are too broad, too delayed, or not specific enough for furniture-sector use. The published series expresses the output as comparable price signals per cubic metre in euro and, where relevant, local currency.

The current publication focuses on selected European market proxies where Furnilytics has enough trade-price evidence and recurring online panel-price observations to support a defensible signal. Coverage is expanded only when the underlying evidence is sufficiently stable.

Method typeProprietary panel-price nowcast anchored to trade-price evidence and private online observations
Primary evidenceHarmonised European trade-price evidence, Furnilytics private weekly online panel-price observations, and ECB exchange rates where needed
Update frequencyBiweekly refresh, published as a monthly price tracker
Published unitsLocal currency per m3 and EUR per m3
Main limitationsRecent months are nowcast, online observations are directional rather than direct transaction levels, and internal source weights are proprietary

Source framework

The model combines two complementary evidence layers. The first layer is harmonised European trade-price evidence for relevant panel products. This provides the slower-moving, auditable anchor for historical levels and helps keep the series tied to real cross-border market transactions.

The second layer is a private Furnilytics webscrape of recurring online panel-price observations. These observations are collected at higher frequency and are used primarily for direction, timing, and recent-month nowcasting. Online listed prices can differ from contract and transaction prices, so the model does not treat the scraped price level as a direct market level.

How Furnilytics uses the online signal

Online supplier prices are cleaned, classified, and aggregated into a directional signal before they enter the model. The published tracker uses that signal in calibrated form, so it can guide the most recent price movement without exposing individual suppliers, product filters, exact route weights, or the internal calibration rules.

This distinction matters: the webscrape layer improves timeliness, while the trade-price layer keeps the tracker grounded. The result is a proprietary nowcasted market indicator rather than a simple average of listed online prices.

Quality controls

Before publication, the tracker runs automated QA checks on output completeness, duplicate keys, currency conversion, density plausibility, webscrape coverage, and unusual month-on-month price movements. Rows that require internal review remain visible in the hidden diagnostics dataset, while the customer-facing dataset stays intentionally simple.

Density logic is used to reduce distortions from implausible volume or weight relationships in trade records. Where a month appears inconsistent, the model uses internal adjustment rules and records the reason in the private diagnostics layer.

Update rhythm

The tracker is refreshed biweekly. This cadence is frequent enough to incorporate new online observations and recent trade updates, while still respecting the monthly character and lag structure of the underlying trade-price anchor.

Interpretation

The tracker should be read as a Furnilytics panel-price signal for market direction, relative level, and recent turning points. It is not a quotation service, a supplier price list, or a substitute for customer-specific procurement terms. The methodology is intentionally transparent about the evidence layers and controls, while keeping source selection, filtering, weighting, and calibration proprietary.

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