{"id":23365,"date":"2026-02-05T09:38:22","date_gmt":"2026-02-05T08:38:22","guid":{"rendered":"https:\/\/www.uni.lu\/fdef-en\/?post_type=events&#038;p=23365"},"modified":"2026-02-05T09:49:31","modified_gmt":"2026-02-05T08:49:31","slug":"df-lunch-seminar-with-prof-fabio-trojani-university-of-geneva","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fdef-en\/events\/df-lunch-seminar-with-prof-fabio-trojani-university-of-geneva\/","title":{"rendered":"DF Lunch Seminar with Prof. Fabio Trojani (University of Geneva)"},"content":{"rendered":"\n<section class=\"py-0 wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<ul class=\"wp-block-unilux-blocks-custom-buttons btn-list\"><li class=\"wp-block-unilux-blocks-custom-button\"    aria-disabled=\"false\"\n    >\n    <a\n        role=\"link\"\n        aria-disabled=\"false\"\n                    href=\"https:\/\/www.eventbrite.fr\/e\/df-lunch-seminar-w-prof-fabio-trojani-university-of-geneva-registration-1982340159781?aff=oddtdtcreator\"\n                target=\"_blank\"\n        class=\"btn btn--primary\"\n            >Register<\/a>\n<\/li>\n\n\n<li class=\"wp-block-unilux-blocks-custom-button\"    aria-disabled=\"false\"\n    >\n    <a\n        role=\"link\"\n        aria-disabled=\"false\"\n                    href=\"https:\/\/www.uni.lu\/fdef-en\/events\/df-lunch-seminar-with-prof-fabio-trojani-university-of-geneva\/calendar\"\n                target=\"_self\"\n        class=\"btn btn--secondary\"\n            >Add to calendar<\/a>\n<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-unilux-blocks-spacer is-spacer-size-sm\"><\/div>\n\n\n<h4 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"a-comprehensive-machine-learning-framework-for-dynamic-portfolio-choice-with-transaction-costs\"\n    >\n\u201cA Comprehensive Machine Learning Framework for Dynamic Portfolio Choice With Transaction Costs\u201d<\/h4>\n\n\n\n<p>With the Lunch Seminar series, the Department of Finance is bringing eminent and up-and-coming researchers from around the world to Luxembourg.<\/p>\n\n\n<div class=\"wp-block-unilux-blocks-spacer is-spacer-size-sm\"><\/div>\n\n\n<h4 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"abstract\"\n    >\nAbstract<\/h4>\n\n\n\n<p>We introduce a comprehensive computational framework for solving dynamic portfolio choice problems with many risky assets, transaction costs, and borrowing and short-selling constraints. Our approach leverages the synergy between Gaussian process regression and Bayesian active learning to efficiently approximate value and policy functions with a novel, formal way of characterizing the irregularly-shaped no-trade region; we then embed this into a discrete-time dynamic programming algorithm. This combination allows us to study dynamic portfolio choice problems with more risky assets than was previously possible. Our results indicate that giving the agent access to more assets may alleviate some illiquidity resulting from the presence of transaction costs.<\/p>\n\n\n<div class=\"wp-block-unilux-blocks-spacer is-spacer-size-sm\"><\/div>\n\n\n<h4 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"about-the-speaker\"\n    >\nAbout the speaker<\/h4>\n\n\n\n<p><a href=\"https:\/\/papers.ssrn.com\/sol3\/cf_dev\/AbsByAuth.cfm?per_id=1619581\" target=\"_blank\" rel=\"noreferrer noopener\">Fabio Trojani<\/a> is a Professor of Finance at the University of Geneva and a Senior Chair at the Swiss Finance Institute.<\/p>\n\n\n<div class=\"wp-block-unilux-blocks-spacer is-spacer-size-sm\"><\/div>\n\n\n<h4 class=\"has-text-align-left wp-block-unilux-blocks-heading\"        id=\"language\"\n    >\nLanguage<\/h4>\n\n\n\n<p>English.<\/p>\n\n\n\n<p>This is a free event. Registration is mandatory.<\/p>\n\n\n\n<p>Cold lunches are provided to registered participants only.<\/p>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":85,"featured_media":19172,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":{"x":0,"y":0.32},"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2026-02-12 12:30:00","event_end_date":"2026-02-12 13:45:00","event_speaker_name":"Prof. Fabio Trojani","event_speaker_link":"","event_is_online":false,"event_location":"Kirchberg Campus","event_street":"6, rue Richard Couden\u00ad\u00ad\u00adhove-Kalergi","event_location_link":"https:\/\/www.uni.lu\/en\/about\/campuses\/kirchberg-campus\/","event_zip_code":"1359","event_city":"Luxembourg","event_country":"Luxembourg"},"events-topic":[301],"events-type":[323,322,315],"organisation":[116,101],"authorship":[85],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>DF Lunch Seminar: Prof. Fabio Trojani on Machine Learning for Dynamic Portfolio Choice \u2013 University of Luxembourg<\/title>\n<meta name=\"description\" content=\"Join Prof. Fabio Trojani (University of Geneva) for a DF Lunch Seminar presenting a machine learning framework for dynamic portfolio choice with transaction costs. Discover how Gaussian processes and Bayesian active learning improve value and policy function estimation. Free in-person event; registration required.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fdef-en\/events\/df-lunch-seminar-with-prof-fabio-trojani-university-of-geneva\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DF Lunch Seminar with Prof. Fabio Trojani (University of Geneva)\" \/>\n<meta property=\"og:description\" content=\"Join Prof. Fabio Trojani (University of Geneva) for a DF Lunch Seminar presenting a machine learning framework for dynamic portfolio choice with transaction costs. Discover how Gaussian processes and Bayesian active learning improve value and policy function estimation. 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