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rof-data-analysis

Use when auditing Review of Finance empirical or theoretical analysis: sample construction, identification, asset-pricing tests, corporate-finance variables, robustness, code reproducibility, and evidence that can satisfy top-three-finance-journal standards.

Review-of-Finance-Skills/skills/rof-data-analysis/SKILL.md

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Sep 27, 2026
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# Review of Finance Data Analysis

Use this when the finance result is not yet credible enough for RoF. Reopen the current
author guidelines and code-sharing policy before final submission.

## Audit

- Map every finance claim to a table, figure, model result, identification test, or
  robustness check.
- For empirical work, document sample construction, variable definitions, filters, winsorizing
  or trimming, identifiers, timing, and economic magnitudes.
- For theory work, connect assumptions to equilibrium, comparative statics, or pricing
  implications that a broad finance audience can evaluate.
- Use strong benchmarks: standard asset-pricing factors, corporate-finance controls, market
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