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mathematical-finance

Use when targeting Mathematical Finance or deciding whether a quantitative / mathematical-finance manuscript fits this venue. Encodes the journal's …

不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Awesome-Journal-Skills

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技能内容

Mathematical Finance (mathematical-finance)

Journal positioning

Mathematical Finance is a leading journal at the interface of mathematics and finance, publishing rigorous theory: stochastic processes, derivatives pricing, optimal control and portfolio choice, risk measures, and the probabilistic and analytic foundations of financial models. The contribution is mathematical — new models, theorems, or methods with proofs — addressed to readers comfortable with measure-theoretic probability and stochastic analysis. It is not an empirical finance journal; the standard of acceptance is mathematical rigor and financial relevance, not statistical significance.

This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the Mathematical Finance / Wiley site and the editorial submission system.

When to trigger

  • The author names Mathematical Finance (or math-finance / quantitative-finance theory venues) as the target.
  • A paper proves new results about pricing, hedging, optimal control, or risk under a stochastic model.
  • A quantitative paper has a genuine mathematical contribution that an empirical finance journal would not referee properly.
  • The author needs Mathematical Finance's desk-reject risks and a credible math-finance / finance-theory alternative list.

Scope & topic fit

  • Continuous-time finance: arbitrage theory, martingale methods, fundamental theorems of asset pricing, and incomplete markets.
  • Derivatives pricing and hedging, stochastic volatility, jump models, and numerical/analytic pricing methods.
  • Optimal control, dynamic portfolio choice, utility maximization, and stochastic optimization in finance.
  • Risk measures, model uncertainty/robust finance, systemic risk, and the mathematics of market microstructure or high-frequency limits.

Method & evidence bar

  • Theorems with complete, correct proofs: assumptions stated precisely, results general or sharp, and the mathematics self-contained.
  • A clear financial motivation and interpretation — pure mathematics with no financial payoff is out of scope, as is finance with no genuine mathematical advance.
  • Numerical methods must be analyzed (convergence, stability, error bounds), not merely demonstrated.
  • Novelty relative to the existing stochastic-analysis and math-finance literature must be explicit.

Structure & house style

  • The introduction states the financial problem, the mathematical contribution, and the relation to prior theory, with the main theorem(s) previewed early.
  • Notation, assumptions, and definitions are precise; proofs are rigorous and may be deferred to an appendix.
  • Mathematical Finance uses an abstract suited to a mathematical audience; results are stated as numbered theorems/propositions with proofs.
  • Any empirical or numerical illustration supports the theory rather than carrying the contribution.

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
  • Search the live site for "Mathematical Finance author guidelines" and follow the current Wiley version.
  • Re-check formatting (LaTeX class, theorem environments, reference style), abstract and MSC/JEL classification, and anonymization expectations.
  • Re-check any code/data or supplementary-material requirements for numerical results.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • [ ] One sentence stating the mathematical contribution and its financial relevance.
  • [ ] The contribution is stated as a new theorem / model / method with proofs, not as an empirical finding.
  • [ ] Assumptions are precise and the results are positioned against the prior math-finance literature.
  • [ ] Proofs are complete and correct; numerical methods are analyzed, not just shown.
  • [ ] Formatting, classification codes, and any supplementary material match the current official guide.

Common desk-reject triggers

  • An empirical finance paper with no mathematical contribution.
  • Pure mathematics with no financial motivation or interpretation.
  • Incomplete or incorrect proofs, or vague assumptions.
  • A numerical-methods paper with no convergence/error analysis, or results already standard in the literature.

Re-routing decision

  • Theory with empirical asset-pricing payoff for a general finance audience → journal-of-financial-economics, review-of-financial-studies, journal-of-finance.
  • Econometrics of finance, volatility, and predictability (empirical) → journal-of-empirical-finance.
  • Quantitatively careful empirical finance → journal-of-financial-and-quantitative-analysis; microstructure empirics → journal-of-financial-markets.
  • Pure probability/stochastic-analysis with no finance core → a probability or applied-mathematics journal (outside this finance bundle).

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Mathematical Finance
[Topic tags] <2–3 closest topics>
[Method/evidence] <is there a rigorous, financially relevant mathematical contribution with proofs?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / LaTeX / classification / supplementary material>
[Re-route suggestion] <if not a fit, a better-matched venue>

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