JFM Topic Selection & Fit Screener

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Evaluates research papers to determine fit for the Journal of Financial Markets based on market microstructure mechanisms and data granularity.

The JFM Topic Selection skill provides academic researchers and financial economists with a systematic framework to screen and scope draft papers for submission to the Journal of Financial Markets (JFM). It applies a rigorous mechanism test to distinguish genuine market microstructure topics—such as order flow, price discovery, depth, and venue design—from broader asset pricing or corporate finance inquiries suited for generalist journals like JF, JFE, or RFS. By diagnosing data granularity requirements, identifying identification strategies around market-structure shocks, and executing desk-reject self-screens, this skill helps authors reposition or reroute their work to maximize publication success.

主要功能

01Screens data resolution and asset-class architecture (e.g., LOBSTER, TAQ, TRACE, AMMs)
02Distinguishes specialist trading-process contributions from broad asset pricing or corporate finance
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04Evaluates papers against the core JFM market microstructure mechanism test
05Runs quick desk-reject filters across mechanism, granularity, and specialist depth
06Provides worked triage recommendations to reframe or reroute manuscripts

使用场景

01Diagnosing desk-reject feedback stating that a paper is not genuinely a market microstructure study
02Reframing an asset pricing or corporate event study around liquidity and price impact mechanisms
03Determining whether an empirical finance paper belongs at JFM versus top-3 generalist journals