Journal Of Empirical Finance

Journal of Empirical Finance (journal-of-empirical-finance)

Journal positioning

The Journal of Empirical Finance is an Elsevier journal specializing in empirical finance methods and applications: the econometrics of finance, asset pricing, volatility modeling, return predictability, and the careful empirical analysis of financial data. It sits in the strong field tier with a methods-aware identity, and is the natural home for papers where the empirical method or measurement is itself a contribution. The readership is empirical and financial-econometrics researchers.

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 Elsevier / JEF site and the editorial submission system.

When to trigger

• The author names JEF (or empirical-finance / financial-econometrics venues) as the target.
• A paper's contribution is an empirical method, a measurement, or a careful empirical analysis of returns, volatility, or predictability.
• A general finance paper has a methods-of-empirical-finance core that should be framed as such.
• The author needs JEF's desk-reject risks and a credible empirical-finance / top-finance alternative list.

Scope & topic fit

• Financial econometrics: estimation and testing for asset-pricing models, volatility, and dependence in financial data.
• Empirical asset pricing, the cross-section and time series of returns, and return predictability.
• Volatility modeling and forecasting (GARCH-family, realized/high-frequency measures, stochastic volatility) and risk measurement.
• Applied empirical finance where method, measurement, or evaluation is the central contribution.

Method & evidence bar

• The empirical method or measurement should be the point of pride: correct estimation, valid inference, and honest evaluation.
• Predictability and asset-pricing claims must respect current concerns (multiple testing/p-hacking, out-of-sample evaluation, data-snooping, proper standard errors).
• Econometric procedures need stated assumptions and, where new, theoretical or simulation evidence of their properties.
• Where causal claims appear, identification must be credible; otherwise associations should be framed honestly.

Structure & house style

• The introduction states the empirical question or method, the data, the evaluation strategy, and the headline result early.
• Distinguish the contribution from the nearest empirical-finance work explicitly; "a new dataset for an old test" is rarely enough alone.
• JEF uses an unstructured abstract and JEL codes; an online appendix carries robustness, derivations, and secondary results.
• Exhibits report economic and statistical magnitudes; out-of-sample and robustness evidence are expected for predictability claims.

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 "Journal of Empirical Finance guide for authors" and follow the current Elsevier version.
• Re-check the submission fee, formatting, abstract/JEL, anonymization, and the disclosure policy (data sources, conflicts, prior circulation).
• Re-check the current data/code and online-appendix requirements and any replication expectations.
• If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

• One sentence stating the empirical/methodological contribution and why it matters.
• The contribution is stated as method / measurement / honest empirical evaluation, not as an in-sample significant coefficient.
• The introduction positions the paper against the most recent empirical-finance work on this question.
• Out-of-sample, multiple-testing, and inference concerns are addressed.
• Disclosure, data sources, and the online appendix are ready.

Common desk-reject triggers

• An in-sample predictability result with no out-of-sample or multiple-testing discipline.
• A method paper with no analysis of the method's properties (theory or simulation).
• Re-running a standard test on a new sample with no methodological or substantive advance.
• A paper that is really general asset pricing (journal-of-financial-economics) or pure econometrics framed as empirical finance.

Re-routing decision

• Top-3 empirical-finance importance → journal-of-finance, journal-of-financial-economics, review-of-financial-studies.
• Quantitatively careful empirical finance → journal-of-financial-and-quantitative-analysis; peer elite-field → review-of-finance.
• Microstructure/high-frequency empirics → journal-of-financial-markets; international empirics → journal-of-international-money-and-finance; broad applied, large volume → journal-of-banking-and-finance.
• Pricing/risk theory with proofs → mathematical-finance; general econometric methods → journal-of-econometrics.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Journal of Empirical Finance
[Topic tags] <2–3 closest topics>
[Method/evidence] <is the empirical method / evaluation sound and out-of-sample disciplined?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / fee / disclosure / online appendix / data>
[Re-route suggestion] <if not a fit, a better-matched venue>

Source: brycewang-stanford/Awesome-Journal-Skills → English-SocialScience-Journal-Skills/skills/journal-of-empirical-finance/SKILL.md