Weight Sensitivity & Rating Disagreement: Ranks, CORREL and a Scatter
This lesson is part of the course
In this lesson
You recompute the scores with a second set of weights, measure how ranks move, quantify agreement with another method using CORREL and plot the two methods against each other.
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Lessons in this course
- Raw ESG Indicators & Data Coverage: Counting What Is Really Reported Locked
- Normalisation: Min-Max, Z-Score and Percentile Rank Locked
- Direction: Turning Lower-Is-Better Indicators into Scores Locked
- Pillar Scores: Averaging Indicators into E, S and G, Then Weighting Locked
- Industry Materiality: Sector Weights with a Lookup Locked
- Controversy Deductions: Penalties, a Floor at Zero and a Watchlist Locked
- Letter Grades: Mapping Scores with an Approximate VLOOKUP Locked
- Weight Sensitivity & Rating Disagreement: Ranks, CORREL and a Scatter Locked