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Artificial Intelligence Applications in Financial Markets Forecasting: A Systematic Mapping
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
2017 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

This bachelor thesis aims to give an overview of the last ten years research on financial market forecasting with Artificial Intelligence techniques. Reviews of this topic have been made earlier, but it can behard to get a sense to what degree this type of research have been made and to what extent specific topicshave been covered. To answer this and also what research type and how these topics have changed overtime, a systematic mapping is performed with backward snowballing as literature search method. Theresults show that various hybrids and Artificial Neural Networks applied to the stock market are the mostcommon combinations and most research is new attempts at trying to predict future market movementsand values.

sted, utgiver, år, opplag, sider
2017.
Emneord [en]
Artificial Intelligence, Machine Learning, Financial Markets, Market forecasting, Systematic Map
HSV kategori
Identifikatorer
URN: urn:nbn:se:lnu:diva-69441OAI: oai:DiVA.org:lnu-69441DiVA, id: diva2:1168746
Fag / kurs
Computer Science
Utdanningsprogram
Software Technology Programme, 180 credits
Veileder
Examiner
Tilgjengelig fra: 2017-12-22 Laget: 2017-12-21 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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