Connect

Mathematical Finance Replication & Data Policy

brycewang-stanfordbybrycewang-stanford
•
1.1k
•
Learning & Documentation

Prepares Wiley-compliant data availability statements, reproducibility checklists, and code archive packages for Mathematical Finance manuscripts.

Designed specifically for theoretical mathematical finance submissions, this skill helps authors craft appropriate Wiley Data Availability Statements for purely theoretical papers, numerical illustrations, and public dataset usages. It establishes a minimal-footprint reproducibility framework, providing templates for exhibit provenance ledgers, simulation random seed tracking, and lean numerical test packages so authors satisfy publisher requirements without burdening theoretical papers with unnecessary empirical machinery.

Key Features

01Creates structured exhibit provenance ledgers linking figures to specific theorems and scripts
02Maintains minimal-footprint code archives to prevent referee scope creep on theory papers
03Generates compliant Wiley Data Availability Statements for pure theory and simulation papers
041,086 GitHub stars
05Standardizes smoke test setups for rapid verification of numerical rate illustrations
06Provides a reproducible numerical-experiment packaging checklist including seeds and parameters

Use Cases

01Building an exhibit provenance ledger for referee evaluation during journal peer review
02Drafting standard Wiley no-data availability statements for pure mathematical finance proofs
03Packaging illustrative simulation scripts and random seeds for numerical finance figures