# IRFA Submission Checklist — regenerated 2026-10-17 (manuscript v1.1)

# Manuscript

manuscript_irfa.pdf — elsarticle (preprint, 12pt, authoryear), 50 pages, compiles clean, 0 unresolved references, elsarticle-harv bibliography (v1.1, 2026-10-17)
Title, author + affiliation + email, abstract (<200 words), keywords, JEL
Declaration of competing interest (in manuscript)
Data availability statement (in manuscript; source: Finnhub.io aggregation, pinned public snapshot, licence unspecified → minute data not redistributed)
highlights.pdf — 5 bullets, ≤85 characters each
cover_letter.pdf
manuscript_anonymous.pdf — author identity/CRediT/acknowledgments stripped
title_page.pdf — full author details (Professeur, Dépt. sciences administratives, UQO, Pavillon Alexandre-Taché, J9A 1L8) + declarations + CRediT statement
online_appendix.pdf (extended audit, pilot audit, descriptive figures, year-by-year evolution, list of analyses not executed)

124 DOI-verified references (Crossref, 2026-10-17; docs/LITERATURE_MAP.md)
All numbers macro-generated from machine-readable registries (no hand-typed results); regenerate with scripts/15_build_results_macros.py
Robustness battery (Table 6): 11 designs incl. placebo-network falsification, month-cluster inference, post-decimalization; design diagnostics (Table 3) and network components (Table 5) added 2026-10-17
Figures: vector PDF, CVD-safe palette + line styles, source data CSVs

Author details complete (title page + frontmatter)
Acknowledgments and funding statement (currently "All errors are the author's own.")
Repeat the novelty scan (2018–2026) and update §2.11 search date
Check current IRFA Guide for Authors for any format updates (record date in docs/DECISION_LOG.md); consider moving Tables 3/5 or descriptive figures to the online appendix if a page limit applies (manuscript is 50 pp.)
Licensing note: dataset card has no licence; manuscript states non-redistribution (DATA_AUDIT §1) — confirm with the data provider if required by the journal
Strongly recommended before submission: neighbour sets on coarser-sampled correlations (REVIEW-REPORT §8, item 1) to defend the secular rise of the network channel