External reporting of projection assumptions should prioritize transparency and materiality while respecting legitimate commercial sensitivities. Guidance from the Task Force on Climate-related Financial Disclosures led by Michael Bloomberg under the Financial Stability Board recommends that organizations disclose scenario narratives, the assumptions behind projections, and the degree of uncertainty inherent in those assumptions. Forecasting scholars stress the same principle. J. Scott Armstrong at the Wharton School University of Pennsylvania advocates clear reporting of methods and drivers so users can evaluate credibility.
Scope and granularity
Appropriate disclosure includes a clear statement of the model structure, the key drivers and their baseline values, time horizons, and quantitative ranges or confidence intervals. Sensitivity analysis should be presented to show how outcomes change with plausible variations in assumptions. Where full parameter lists are commercially sensitive, organizations can provide aggregated sensitivity bands and documented methodologies that permit independent assessment without revealing proprietary formulas. This balance preserves useful scrutiny while protecting trade secrets.
Relevance, causes, and consequences
Stakeholders use assumptions to judge resilience, capital adequacy, and strategic choices. Causes of divergent projections include data quality, model specification, and differing normative judgments about future policy or market behavior. Cultural and territorial factors matter: local regulatory environments, social norms, and community relationships can materially alter assumptions, especially for environmental and land-use projections in Indigenous territories or developing economies. Consequences of inadequate disclosure range from mispriced risk and investor mistrust to regulatory intervention and reputational damage. Clear external reporting supports comparability and accountability and reduces information asymmetry.
An appropriate disclosure level therefore means publishing sufficient detail for informed external assessment: the principal assumptions and their justifications, scenario narratives, quantitative ranges, sensitivity results, and a summary of methodological choices. Materiality should guide depth of disclosure, with higher-stakes projections receiving correspondingly fuller explanation. Where precise parameters are withheld, provide alternative transparency such as reproducible summaries or third-party verification statements. This approach aligns with leading practice from the Task Force on Climate-related Financial Disclosures and expert recommendations from forecasting academics, and it helps external users evaluate both the causes of projected outcomes and their potential consequences.