Judge whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, finance-relevant quantitative methods). Use before investing in a JFQA submission to test scope fit and the quantitative-evidence bar.
Scanned 6/5/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Jfqa Topic Selection?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/brycewang-stanford-jfqa-topic-selection)More formats (shields.io, HTML) on the badges page.
---
name: jfqa-topic-selection
description: Judge whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, finance-relevant quantitative methods). Use before investing in a JFQA submission to test scope fit and the quantitative-evidence bar.
---
# JFQA Topic Selection (jfqa-topic-selection)
Use this skill to test whether a finance question belongs in the **Journal of Financial and Quantitative Analysis (JFQA)** before you build the paper and pay the **$350** submission fee (only **$275** refundable if it is not sent to a reviewer).
## What JFQA publishes
JFQA covers **theoretical and empirical** research in financial economics, with a quantitative core:
- **Corporate finance** — capital structure, payout, governance, M&A, investment.
- **Investments / asset pricing** — cross-section of returns, factors, anomalies, portfolio choice.
- **Capital and security markets** — market microstructure, liquidity, price discovery.
- **Financial institutions** — banks, intermediaries, regulation.
- **Quantitative methods** relevant to finance.
The name is load-bearing: the journal rewards **quantitative analysis** — disciplined data, models, and inference — over purely descriptive or institutional essays.
## Fit checklist
- [ ] Question sits squarely in financial economics, not adjacent (pure macro, accounting-only, generic econometrics).
- [ ] There is a **quantitative empirical or theoretical** answer — not just a narrative.
- [ ] The data/design can deliver a clean, defensible result (see jfqa-identification-strategy).
- [ ] The contribution is sharp enough to survive a journal that prints **< 9%** of 1,000+ annual submissions.
- [ ] If empirical, the data can be archived (raw or pseudo dataset) under the JFQA Code Sharing Policy.
## Anti-patterns
- A descriptive industry study with no quantitative test or model.
- A method paper with no genuine finance application (belongs in an econometrics outlet).
- An incremental anomaly with no economic mechanism or out-of-sample discipline.
- Excessive length that invites desk rejection (JFQA discourages over-long papers).
## Output format
```
【Scope fit】corporate finance / investments / markets / institutions / methods?
【Quantitative core】Y/N — what is measured/estimated
【Selectivity check】is the contribution sharp enough for <9%?
【Next step】jfqa-literature-positioning
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!