S&P Global Sustainable1
GICS Sector GHG Average Dataset
Notice of Methodology Enhancements
April 2024
The S&P Global Sustainable1 GICS Sector GHG Average Dataset provides GHG estimates (tonnes perrevenue) at the four main GICS levels. The dataset leverages the Trucost environmental and financial
data coming from the Trucost database and is updated on a yearly basis. This notice describes themethodology enhancements that are currently under review and that S&P Global Sustainable1
intends to incorporate in the upcoming release of the dataset for March 2025. The methodologyupdates contained in this notice are under currently review and may be subject to change. The
purpose of this notification is to ensure we maintain transparency in our methodological process anddecisions with the market. The full release will be accompanied by a detailed methodology report
describing the data sources, methods and assumptions used in the analysis, and a release note
describing the impact of the methodology changes on the dataset.
Methodology Enhancements under Review
The following table describes the methodology enhancements that are under review and being
considered for the Q1 or Q2 2025 release, the expected impact on the dataset, and the intended
benefit of these enhancements for clients. The enhancements described below may be subject tochange and the related expected impact may also differ from what has been described below asthese updates are yet to be implemented and are under review.
Enhancement
Name

Enhancement Description

Client Benefit

Expected Impact on
DatasetOutlierdetection
systemOutlier detection and removal
following a normalization of theintensity value at the GICS level,
the removal of values beyond the99% percentile of the distribution
and three standard deviations
away from the mean.

The new outlier detection
and remove removes
datapoints from the GICS
estimation that areconsidered not
representative of the wholesub-population and provides
better GHG estimates

We expect a reductionof emissions byapproximately 3-5% on
average for all GICS
levels.

Geo clustering

We will provide more nuanced
estimation by estimating
emissions at the country levelbased on country level data. In
case of a limited data sample (lessthan 50 datapoints at countrylevel), country estimates will beprovided using datapoints fromthe relevant ISO Subregion or ISOregion as proxies.

More accurate estimates of
GHG emissions based onregional differences

Expansion ofdatapoints andavailable information.

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