Reinforcement Learning Applications for the Portfolio Management

dc.contributor.advisor	Pesenti, Raffaele	it_IT
dc.contributor.author	Urbani, Federico <1998>	it_IT
dc.date.accessioned	2022-10-03	it_IT
dc.date.accessioned	2023-02-22T10:57:56Z
dc.date.issued	2022-10-27	it_IT
dc.identifier.uri	http://hdl.handle.net/10579/22493
dc.description.abstract	Thesis aims at developing a Fiancial Trading System to tackle the Porfolio Management Problem. The developed models use Reinforcement Learning techniques to analyse the current environement and to give daily advice to the agent on how to manage each financial position.	it_IT
dc.language.iso	en	it_IT
dc.publisher	Università Ca' Foscari Venezia	it_IT
dc.rights	© Federico Urbani, 2022	it_IT
dc.title	Reinforcement Learning Applications for the Portfolio Management	it_IT
dc.title.alternative	Reinforcement Learning Applications for the Portfolio Management	it_IT
dc.type	Master's Degree Thesis	it_IT
dc.degree.name	Data analytics for business and society	it_IT
dc.degree.level	Laurea magistrale	it_IT
dc.degree.grantor	Dipartimento di Economia	it_IT
dc.description.academicyear	2021-2022_appello_171022	it_IT
dc.rights.accessrights	closedAccess	it_IT
dc.thesis.matricno	885949	it_IT
dc.subject.miur	SECS-S/03 STATISTICA ECONOMICA	it_IT
dc.description.note	Nessuna nota	it_IT
dc.degree.discipline		it_IT
dc.contributor.co-advisor		it_IT
dc.date.embargoend	10000-01-01
dc.provenance.upload	Federico Urbani (885949@stud.unive.it), 2022-10-03	it_IT
dc.provenance.plagiarycheck	Raffaele Pesenti (pesenti@unive.it), 2022-10-17	it_IT