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PROJECT 04Research prototype

Making scenario assumptions inspectable.

Connecting sustainability indicators, macroeconomic assumptions and sector structure.

RBayesian methodsScenario analysis
Conceptual illustration of the project approach
Conceptual illustration. Read the scope and evidence below.

THE CONTEXT

Start with the question.

At Matter, I checked ESG information extracted from disclosures against original sources. Alongside that work, I independently developed a scenario-analysis project to investigate how data quality, macroeconomic assumptions and sector structure shape the interpretation of risk.

THE WORK

Make the steps explicit.

I took the project from its research question into an R workflow combining ESG indicators, macroeconomic inputs and sector structure. Scenario definitions and model diagnostics keep the role of assumptions visible.

  1. Make input definitions and assumptions explicit
  2. Estimate and inspect the model
  3. Compare scenarios with their limitations visible

THE RESULT

What the work supports.

The prototype provides a structured way to compare scenario-dependent outcomes and sector sensitivities, with assumptions and diagnostics carried alongside the results.

SCOPE & EVIDENCE

Where the conclusion ends.

The outputs depend on the scenario assumptions, input coverage and model specification. They are scenario-based research results, not observed investment performance. Proprietary input data are not distributed through this portfolio.

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