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The proposed wording refinements do not materially alter the way Fastmarkets Metals & Mining assesses prices but are instead intended to describe the process more clearly to increase market participants’ understanding of how editorial judgment is applied.
The changes are not anticipated to result in any noticeable changes in Fastmarkets’ assessment price levels or behavior.
Fastmarkets is seeking feedback on its proposal to amend the wording of its Metals & Mining assessment methodology to more clearly describe the principles that guide its reporters’ and editors’ judgment when evaluating data to arrive at final price assessments.
The core elements of this proposed update are as follows:
1. Introducing a statement of Fastmarkets Metals & Mining’s assessment objective The objective of Fastmarkets Metals & Mining’s assessment methodology is to represent: “The prevailing level at which a commodity of stated specification has or could be expected to have transacted over a defined period of time.”
2. Introducing key principles for evaluating data inputs and determining a hierarchy of consideration The primary principle is “confidence.” Factors that may influence an assessor’s confidence in information include, but are not limited to:
Data that Fastmarkets is more confident in would always take precedence over data whose veracity or credibility we are less certain of.
The secondary principle applied when evaluating data inputs is “significance”. This is a gauge of how instructive the information is in determining our stated assessment objective (see above). Significance is considered a more effective principle than a simple ranking of data types because it better accounts for context.
For example, bid and offer data can be of higher or lower significance depending on their relation to other data points. Our general ranking of data types in order of significance is as follows:
i. Deals ii. Tight (competitive) bids/offers* iii. Indications of tradeable levels iv. Wide (speculative) bids/offers**
*Bids and/or offers within the spread of deal or indication data points. In some circumstances, firm bids higher than deals or offers lower than deals may be considered as significant as deals if they are deemed to indicate a clear directional change of market level, rather than simply reflecting opacity of market information.
**Bids and/or offers outside the spread of deal or indication data points
Fastmarkets MB staff are guided by both the principles of “confidence” and “significance” when evaluating data to fulfil the stated pricing objective. This helps to ensure that editorial judgment is applied in a reasoned and consistent manner in the assessment process.
3. Introducing clearer guidance on when and why data points may be discarded from assessments Occasionally, Fastmarkets Metals & Mining editorial staff may see it fit to discard a data point from consideration, where it might otherwise be expected to have relevance in determining the assessment. This is different to simply prioritizing higher-quality (higher-confidence or higher-significance) data when assessing the final price or range.
The application of editorial judgment to discard an otherwise relevant data point is guided by the principle that Fastmarkets Metals & Mining aims to assess the “open/competitive market” for the product and basis in question. That is, where buying and selling interest is competing on broadly similar terms to arrive at deals.
Deals, bids or offers with side terms that we are unable to accurately account for, or subject to unique and unusual seller-buyer relationships, would typically be deemed unrepresentative of the “open/competitive” market and hence discarded.
This principle is applicable regardless of the motivations of the data submitter. Indications of tradeable levels may be discarded if the submitter is suspected of deliberately misleading Fastmarkets to unfairly influence the assessment.
Click here to see a provisional version of the proposed general assessment methodology wording update.
As mentioned earlier in this notice, the suggested refinements do not introduce any material changes or new concepts in our pricing approach. Instead they simply seek to clarify with greater transparency and precision the principles that guide best-practice
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