Individual skill
mathfin-data-analysis
Use when designing or auditing the numerical-experiments part of a Mathematical Finance (Wiley) manuscript — at this theory-first venue that means illustrative computation that SUPPORTS a proof (convergence, error bounds, qualitative behavior), never empirical data analysis. Keeps numerics rigorous, reproducible, and subordinate to the theorems.
Mathematical-Finance-Skills/skills/mathfin-data-analysis/SKILL.md
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- Last checked
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# Numerical Experiments (mathfin-data-analysis)
## Note on framing
This is a **theory-first** journal. *Mathematical Finance* explicitly states that **numerical
experiments are welcome only when accompanied by a rigorous analysis** supporting the
theoretical developments, and that **routine application of computational methods to financial
data will not be considered**. So "data analysis" here is *not* empirical estimation — it is
numerical work that illustrates or stress-tests a theorem. This skill is deliberately lighter
than its empirical-journal counterpart.
## When to trigger
- You want to add simulations or a numerical scheme to a proof-based paper