{"id":7579,"date":"2019-02-22T08:04:57","date_gmt":"2019-02-22T07:04:57","guid":{"rendered":"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/"},"modified":"2019-02-22T08:04:57","modified_gmt":"2019-02-22T07:04:57","slug":"dynamic-information-acquisition-and-entry-into-new-markets","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/","title":{"rendered":"Dynamic Information Acquisition and Entry into New Markets"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>We model dynamic information acquisition and entry by a strategic trader into a new trading opportunity. Instead of restricting the trader to make her choices before the market opens, we allow her to optimally choose when to enter in response to public news. We show that there exists a unique equilibrium in which optimal entry exhibits delay. The model provides novel implications for how the likelihood and timing of entry, and choice of precision, depend on news volatility and the trading horizon. Our results shed light on the entry behavior of institutional investors into new asset classes like cryptocurrencies.<\/p><p>Please find the entire paper <a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=2846059\" target=\"_self\" title=\"\" rel=\"noopener\">here<\/a><\/p><p><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--contain\">\n    \n<img decoding=\"async\" class=\"wp-block-image unilux-custom-image-block\"\n                alt=\"\"\n            src=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2024\/01\/fnr_logo_quadri_gris_fond_blanc.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2024\/01\/fnr_logo_quadri_gris_fond_blanc-300x72.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2024\/01\/fnr_logo_quadri_gris_fond_blanc-1024x247.jpg 1024w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2024\/01\/fnr_logo_quadri_gris_fond_blanc-768x186.jpg 768w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2024\/01\/fnr_logo_quadri_gris_fond_blanc.jpg 1109w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: contain; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 16\/9; object-fit: contain; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure>\u00a0<\/p><p>Supported by the Fonds National de la Recherche, Luxembourg (18\/12970325)<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>We model dynamic information acquisition and entry by a strategic trader into a new trading opportunity. Instead of restricting the trader to make her choices before the market opens, we allow her to optimally choose when to enter in response to public news. We show that there exists a unique equilibrium in which optimal entry exhibits delay. The model provides novel implications for how the likelihood and timing of entry, and choice of precision, depend on news volatility and the trading horizon. Our results shed light on the entry behavior of institutional investors into new asset classes like cryptocurrencies.Please find the entire paper here<\/p>\n","protected":false},"author":0,"featured_media":7580,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"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":"2019-03-07 12:30:00","event_end_date":"2019-03-07 13:45:00","event_speaker_name":"Snehal Banerjee \u2013 University of California ","event_speaker_link":"","event_is_online":false,"event_location":"Faculty of Law, Economics and Finance\r\nJFK Building \r\n29, avenue Kennedy\r\nL-1855 Luxembourg\r\nGround Floor, Nancy-Metz Room ","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[309],"events-type":[],"organisation":[116,101,226],"authorship":[],"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>Dynamic Information Acquisition and Entry into New Markets - Universit\u00e9 du Luxembourg<\/title>\n<meta name=\"description\" content=\"We model dynamic information acquisition and entry by a strategic trader into a new trading opportunity. Instead of restricting the trader to make her choices before the market opens, we allow her to optimally choose when to enter in response to public news. We show that there exists a unique equilibrium in which optimal entry exhibits delay. The model provides novel implications for how the likelihood and timing of entry, and choice of precision, depend on news volatility and the trading horizon. Our results shed light on the entry behavior of institutional investors into new asset classes like cryptocurrencies.Please find the entire paper here\" \/>\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\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dynamic Information Acquisition and Entry into New Markets\" \/>\n<meta property=\"og:description\" content=\"We model dynamic information acquisition and entry by a strategic trader into a new trading opportunity. Instead of restricting the trader to make her choices before the market opens, we allow her to optimally choose when to enter in response to public news. We show that there exists a unique equilibrium in which optimal entry exhibits delay. The model provides novel implications for how the likelihood and timing of entry, and choice of precision, depend on news volatility and the trading horizon. Our results shed light on the entry behavior of institutional investors into new asset classes like cryptocurrencies.Please find the entire paper here\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/\" \/>\n<meta property=\"og:site_name\" content=\"UNI FR\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/uni.lu\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"2560\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/\",\"url\":\"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/\",\"name\":\"Dynamic Information Acquisition and Entry into New Markets - Universit\u00e9 du Luxembourg\",\"isPartOf\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/dynamic-information-acquisition-and-entry-into-new-markets\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2019\/02\/dynamic_information_acquisition_and_entry_into_new_markets.jpg\",\"datePublished\":\"2019-02-22T07:04:57+00:00\",\"dateModified\":\"2019-02-22T07:04:57+00:00\",\"description\":\"We model dynamic information acquisition and entry by a strategic trader into a new trading opportunity. 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