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Exploring the Impact of Centrality Measures on Stock Market Performance in Stockholm Market: A Comparative Study
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics.
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Centrality measures in network analysis have become a popular measurement tool for identifying coherent nodes within a network. In the context of stock markets, the centrality measure helps to identify key performing ele- ments and strengths for specific stocks and determine their impact on disrupting market value and performance. Multiple studies presented practical implementations of centrality measures for determining trends and perform- ance of a particular market. However, fewer studies applied centrality measures to predict trends in the stock market.

Place, publisher, year, edition, pages
2023. , p. 33
Keywords [en]
Centrality measures, Degree centrality, Eigenvector centrality, Betweenness centrality, Closeness centrality
National Category
Mathematical Analysis Economics
Identifiers
URN: urn:nbn:se:mdh:diva-63734OAI: oai:DiVA.org:mdh-63734DiVA, id: diva2:1778325
Subject / course
Mathematics/Applied Mathematics
Presentation
(English)
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Examiners
Available from: 2023-07-05 Created: 2023-06-30 Last updated: 2023-07-05Bibliographically approved

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fulltext(1265 kB)451 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf