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Agent-based modelling: investigating the effects of varied trading strategies on market dynamics

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorSouto, Pedro Calheiros
dc.contributor.authorTemesgen, Matyos
dc.date.accessioned2024-10-23T08:36:01Z
dc.date.embargo2027-01-26
dc.date.issued2024-01-26
dc.date.submitted2023-01-26
dc.description.abstractThis study harnesses agent-based modeling to simulate market scenarios, shedding light on how different investor types shape our financial landscape. Fundamental investors, when prevalent, reduce pricing errors and enhance market stability, while the influence of technical traders am plifies market efficiency and trading activity at the expense of increased volatility and decreased stability. Additionally, the excessive prevalence of mean reversion strategies exacerbates mar ket fluctuations, resulting in erratic price movements and a suboptimal level of efficiency that further undermines market stability.pt_PT
dc.identifier.tid203604261pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/173926
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectEfficient marketspt_PT
dc.subjectFinancial marketspt_PT
dc.subjectMarket dynamicspt_PT
dc.subjectAgent-based modelingpt_PT
dc.subjectTrading strategiespt_PT
dc.titleAgent-based modelling: investigating the effects of varied trading strategies on market dynamicspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsembargoedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Finance from the Nova School of Business and Economics.pt_PT

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