mathfin-topic-selection
Use when choosing or sharpening a problem for Mathematical Finance (Wiley) — tests whether the question is a methodologically novel, rigorously tractable contribution to financial modelling (stochastic analysis, pricing, risk, portfolio, microstructure) rather than a routine computational application to data.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mathfin-topic-selection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Problem Selection (mathfin-topic-selection) ## When to trigger - Deciding whether a financial-mathematics idea is a fit for *Mathematical Finance* - Holding a result that might be "just a numerical study" and unsure it clears the bar - Choosing between an incremental extension and a genuinely novel modelling contribution ## The Mathematical Finance fit bar *Mathematical Finance* evaluates submissions on **methodological novelty and contribution to financial modelling**, presented with full mathematical rigor. The litmus test is not "is this about finance" but "does it advance the *mathematics* of a financial-modelling problem with a result that needs a proof." Strong topics live in the journal's stochastic-analysis tradition: 1. **New tractable models** — e.g., a jump/rough/Lévy or stochastic-volatility model with a provable pricing or hedging characterization. 2. **New structural results** — existence/uniqueness, FTAP-type equivalences, duality, verification theorems for control/BSDE problems. 3. **New methods** — a transform, free-boundary, mean-field, or stochastic-control technique that solves a previously open financial-modelling problem. 4. **New mathematical objects with f
- When to trigger
- The Mathematical Finance fit bar
- Disqualifiers (off-fit)
- Active-frontier scan (hedged)
- Tractability stress test
- Vignette: choosing between two term-structure problems
- Sharpening questions
- Output format
What does the mathfin-topic-selection skill do?
Use when choosing or sharpening a problem for Mathematical Finance (Wiley) — tests whether the question is a methodologically novel, rigorously tractable contribution to financial modelling (stochastic analysis, pricing, risk, portfolio, microstructure) rather than a routine computational application to data.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mathfin-topic-selection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.