技能 数据科学 数学金融论文投稿指南

数学金融论文投稿指南

v20260724
mathematical-finance
本指南旨在帮助作者评估其研究成果是否符合顶级数学金融期刊的标准。它详细阐述了所需的高度数学严谨性,涵盖随机过程、衍生品定价和最优控制等核心主题。重点要求文章必须包含新颖的定理和完善的数学证明,并需提供清晰的金融理论解释,而非单纯的实证数据分析。
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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>
信息
Category 数据科学
Name mathematical-finance
版本 v20260724
大小 5.79KB
更新时间 2026-07-28
语言