{ "150012-21907810": { "datetime_modified":"20260807T155844", "datetime_start":"20261104T160000", "datetime_end":"20261104T170000", "has_end_time":1, "date_start":"2026-11-04", "date_end":"2026-11-04", "time_start":"16:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"Exploratory Optimal Reinsurance under the Mean-Variance Criterion", "occurrence_title":"", "combined_title":"Exploratory Optimal Reinsurance under the Mean-Variance Criterion: Austin Riis-Due, Waterloo", "event_subtitle":"Austin Riis-Due, Waterloo", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"This paper proposes a Reinforcement Learning (RL) approach to the optimal reinsurance problem\nwhen the insurer faces uncertainty about the insurance claim dynamics. To this end, we first formulate\nan exploratory version of the problem as a relaxed stochastic control problem. Within a broad class of\nparametric retention functions and general risk loading functions, we derive the closed-form equilibrium\npolicy under the continuous-time mean-variance criterion. This is achieved through a formal verification\ntheorem and solving classical solutions of a system of exploratory extended Hamilton-Jacobi-Bellman\n(EEHJB) equations. We then establish a policy iteration theorem, showing that starting from any timeand state-homogeneous policy, policy iteration converges to the derived equilibrium policy. Next, we\ndevelop a martingale orthogonality theorem, which serves as the foundation of our RL algorithm. The\nalgorithm is evaluated through simulation studies and real data from the U.S. National Flood Insurance\nProgram. Results demonstrate that the RL approach effectively learns unknown claim distributions,\ntracks unobserved changes in claim dynamics and produces higher insurer surplus trajectories than the\nmaximum likelihood estimation (MLE) approach while simultaneously exhibiting greater robustness to\nthe choice of training window.", "occurrence_notes":null, "guid":"150012-21907810@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/150012", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"1360", "location_name":"East Hall", "has_livestream":0, "cost":"", "tags":["Mathematics"], "website":"", "sponsors":[ { "group_name":"Financial\/Actuarial Mathematics Seminar - Department of Mathematics", "group_id":"4890", "website":"" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21907810 } , "151752-21912124": { "datetime_modified":"20260908T151707", "datetime_start":"20261104T160000", "datetime_end":"20261104T170000", "has_end_time":1, "date_start":"2026-11-04", "date_end":"2026-11-04", "time_start":"16:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"German Convo on the Go", "occurrence_title":"", "combined_title":"German Convo on the Go", "event_subtitle":"", "event_type":"Social \/ Informal Gathering", "event_type_id":"19", "description":"Meet at Burton Tower for a 1-hour walk and talk in German with Mary Gell (magell@umich.edu). 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It\u2019s a chance to connect with others, share experiences, and support one another. \n\nDates\/times: We will meet on Wednesdays from 4-5 p.m. on Zoom.\n\nWe will cover the following topics:\n\nSession 1: November 4 \u2014 Intros, Agreements, Ground Rules, and Definitions\nSession 2: November 11 \u2014 Boundaries and Values\nSession 3: November 18 \u2014 Addressing Worry\nNOTE: No group on Wednesday, November 25, due to proximity to Thanksgiving\nSession 4: December 2 \u2014 Self-Compassion Mindset\nSession 5: December 9 \u2014 Time Management\nSession 6: December 16 \u2014 Wrap Up, Review, and Optional Future Connections \nPlease note: the group can decide whether to wrap up a week earlier, given the end of the semester.\nLocation: Zoom; link sent upon completion of online intake\/screening. \n\nSign up: Register through our online scheduler. Please select \u201cGroup Coaching\u201d when selecting your coaching type, and you will be shown the calendar for current groups. 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