Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Joseph, David; Joseph, Alwin; James, Blesson; Dass, Kajal Title A name given to the resource Behavioral Biases as Drivers of Complexity in Stock Markets: An Agent-Based Modeling Approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Northeast Journal of Complex Systems;Volume;8;Issue;1;Article No.;4; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.63562/2577-8439.1143" target="_blank" rel="noreferrer noopener">https://doi.org/10.63562/2577-8439.1143</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105035078601?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035078601?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joseph D., Christ University, India; Joseph A., Christ University, India; James B., Christ University, India; Dass K., Christ University, India Description An account of the resource By modeling financial systems as Complex Adaptive Systems, this study investigates how behavioral biases influence emergent complexity in stock markets. The study integrates heterogeneous agents, such as rational traders, herding agents, overconfident traders, and anchoring/disposition-driven investors, within a Limit Order Book framework calibrated to both U.S. and Indian market conditions using an Agent-Based Modeling (ABM) approach implemented through the high-fidelity ABIDES simulation environment. Price dynamics, volatility patterns, and liquidity structures were analyzed by Monte Carlo simulation experiments with different behavioral compositions. The results show that behavioral biases cause nonlinear price reactions, produce heavy-tailed return distributions that distort order-book complexity, and greatly increase volatility. The market shifts from a stable, rational regime to a highly volatile, complex regime characterized by contagion and fragile liquidity as the proportion of biased actors rises. Overall, the findings show that the complexity and systemic instability of emerging markets are primarily driven by behavioral heterogeneity. 2026 Binghamton University Libraries. All rights reserved. Subject The topic of the resource Agent-Based Modeling; Behavioral Finance; Complex Adaptive Systems; Emerging Markets; Limit Order Book Publisher An entity responsible for making the resource available Binghamton University Libraries Relation A related resource ISSN: 25778439; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online