{"id":2595,"global_id":"www.math.ttu.edu\/mathematicalfinance?id=2595","global_id_lineage":["www.math.ttu.edu\/mathematicalfinance?id=2595"],"author":"2","status":"publish","date":"2025-12-29 12:07:58","date_utc":"2025-12-29 18:07:58","modified":"2025-12-29 12:07:58","modified_utc":"2025-12-29 18:07:58","url":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/event\/differential-beliefs-in-financial-markets-under-information-constraints-a-modeling-perspective\/","rest_url":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/wp-json\/tribe\/events\/v1\/events\/2595","title":"Differential Beliefs in Financial Markets Under Information Constraints: A Modeling Perspective","description":"<p><strong>Speaker:<\/strong> Prof. Karen Grigorian, Department of Statistics and Applied Probability, UC Santa Barbara<\/p>\n<p><strong>Abstract:<\/strong> We apply the theory of McKean-Vlasov-type SDEs to study several problems related to market efficiency in the context of partial information and partially observable financial markets: (i) convergence of reduced-information market price processes to the true price process under an increasing information flow; (ii) a specific mechanism of shrinking biases under increasing information flows; (iii) optimal aggregation of expert opinions by a trader seeking a positive alpha. All these problems are studied by means of (conditional) McKean-Vlasov-type SDEs, Wasserstein barycenters, KL divergence and relevant tools from convex optimization, optimal control and nonlinear filtering. We supply the theoretical results in (i)-(iii) with concrete simulations demonstrating how the proposed models can be applied in practice to model financial markets under information constraints and the arbitrage-seeking behavior of traders with differential beliefs.<\/p>","excerpt":"","slug":"differential-beliefs-in-financial-markets-under-information-constraints-a-modeling-perspective","image":false,"all_day":false,"start_date":"2026-05-01 14:00:00","start_date_details":{"year":"2026","month":"05","day":"01","hour":"14","minutes":"00","seconds":"00"},"end_date":"2026-05-01 15:00:00","end_date_details":{"year":"2026","month":"05","day":"01","hour":"15","minutes":"00","seconds":"00"},"utc_start_date":"2026-05-01 19:00:00","utc_start_date_details":{"year":"2026","month":"05","day":"01","hour":"19","minutes":"00","seconds":"00"},"utc_end_date":"2026-05-01 20:00:00","utc_end_date_details":{"year":"2026","month":"05","day":"01","hour":"20","minutes":"00","seconds":"00"},"timezone":"America\/Chicago","timezone_abbr":"CDT","cost":"","cost_details":{"currency_symbol":"","currency_position":"prefix","values":[]},"website":"https:\/\/texastech.zoom.us\/j\/95539861848?pwd=5tfhlwt7RvYeGc2Zj0I8ize59Jhf09.1","show_map":true,"show_map_link":true,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Spring 2026","slug":"spring-2026","term_group":0,"term_taxonomy_id":28,"taxonomy":"tribe_events_cat","description":"","parent":10,"count":12,"filter":"raw","id":28,"urls":{"self":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/wp-json\/tribe\/events\/v1\/categories\/28","collection":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/wp-json\/tribe\/events\/v1\/categories","up":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/wp-json\/tribe\/events\/v1\/categories\/10"}}],"tags":[],"venue":{"id":871,"author":"2","status":"publish","date":"2022-09-20 14:28:51","date_utc":"2022-09-20 19:28:51","modified":"2022-09-20 14:28:51","modified_utc":"2022-09-20 19:28:51","url":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/venue\/via-zoom\/","venue":"via Zoom","slug":"via-zoom","json_ld":{"@type":"Place","name":"via Zoom","description":"","url":"","address":{"@type":"PostalAddress"},"telephone":"","sameAs":""},"show_map":true,"show_map_link":true,"global_id":"www.math.ttu.edu\/mathematicalfinance?id=871","global_id_lineage":["www.math.ttu.edu\/mathematicalfinance?id=871"]},"organizer":[],"json_ld":{"@context":"http:\/\/schema.org","@type":"Event","name":"Differential Beliefs in Financial Markets Under Information Constraints: A Modeling Perspective","description":"&lt;p&gt;Speaker: Prof. Karen Grigorian, Department of Statistics and Applied Probability, UC Santa Barbara Abstract: We apply the theory of McKean-Vlasov-type SDEs to study several problems related to market efficiency in [&hellip;]&lt;\/p&gt;\\n","url":"https:\/\/www.math.ttu.edu\/mathematicalfinance\/event\/differential-beliefs-in-financial-markets-under-information-constraints-a-modeling-perspective\/","startDate":"2026-05-01T14:00:00-05:00","endDate":"2026-05-01T15:00:00-05:00","location":{"@type":"Place","name":"via Zoom","description":"","url":"","address":{"@type":"PostalAddress"},"telephone":"","sameAs":""},"performer":"Organization"}}