%% International Review of Financial Analysis — submission manuscript %% Elsevier elsarticle class, author-year (harvard) references. \documentclass[preprint,12pt,authoryear]{elsarticle} \usepackage{amsmath,amssymb} \usepackage{booktabs} \usepackage{threeparttable} \usepackage{adjustbox} \usepackage{caption} \captionsetup{font=small,labelfont=bf} \usepackage[hidelinks]{hyperref} \graphicspath{{figures/}} \biboptions{round} \IfFileExists{results_macros.tex}{\input{results_macros.tex}}{} \journal{International Review of Financial Analysis} \begin{document} \begin{frontmatter} \title{Faster, Wider, More Fragile? The Evolution of Intraday Shock Propagation in U.S. Equity Markets, 1992--2026} \author[uqo]{Simon-Pierre Boucher\corref{cor1}} \ead{simon-pierre.boucher@uqo.ca} \cortext[cor1]{Corresponding author.} \affiliation[uqo]{organization={D\'epartement des sciences administratives, Universit\'e du Qu\'ebec en Outaouais}, addressline={Pavillon Alexandre-Tach\'e, 283 boulevard Alexandre-Tach\'e}, city={Gatineau}, postcode={J9A 1L8}, state={Qu\'ebec}, country={Canada}} \begin{abstract} We study how intraday shocks travel across U.S.\ equities using \DataRowsBn{} billion one-minute bars covering the full listed and delisted cross-section from 1992 to 2026. Three facts emerge. First, markets absorb idiosyncratic shocks: across \NEventsRealMM{} million isolated $\pm6\sigma$ one-minute events, abnormal market-wide propagation---measured against matched within-stock placebos---is economically zero at horizons of 1 to 120 minutes, in every decade. Second, transmission is concentrated and has intensified: the shocked stock's twenty closest lagged-correlation neighbors respond strongly (+\NetDiffFive$\times10^{-4}$ abnormal jump probability at five minutes), and this network channel tripled between the 1990s and the 2020s while market-wide spillover stayed at zero. Third, tail synchronization migrated to the market-wide minute: ordinary extreme minute returns became roughly \ExtremeDropFactor{} times less frequent than in the 1990s, the Epps curve flattened (one-minute pairwise correlation \EppsNinetySixOne{} in 1996 versus \EppsFifteenOne{} in 2015), and severe co-jump minutes spike by orders of magnitude in 2008 and 2020. Modern markets absorb the idiosyncratic and transmit the systemic. \end{abstract} \begin{keyword} Intraday shock propagation \sep market fragility \sep high-frequency data \sep contagion \sep co-jumps \sep Epps effect \sep market microstructure \JEL G10 \sep G12 \sep G14 \end{keyword} \end{frontmatter} \input{sections/01_introduction} \input{sections/02_literature} \input{sections/03_data} \input{sections/04_measurement} \input{sections/05_empirical_design} \input{sections/06_results} \input{sections/07_mechanisms} \input{sections/08_robustness} \input{sections/09_conclusion} \section*{CRediT authorship contribution statement} \textbf{Simon-Pierre Boucher:} Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing -- original draft, Writing -- review \& editing, Visualization. \section*{Declaration of competing interest} The author declares no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. \section*{Data availability} The underlying market data were originally sourced from Finnhub.io (\url{https://finnhub.io}). The aggregated monthly archive used in this study is publicly accessible; the exact pinned snapshot, full replication code, manifests, checksums, and machine-readable results accompany the paper. \section*{Acknowledgments} [To be completed.] \bibliographystyle{elsarticle-harv} \bibliography{bibliography/references} \end{document}