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Exploring the impact of economic and social factors on stock market performance
KTH, School of Engineering Sciences (SCI).
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study seeks to investigate the relationship between human development factors and domestic stock markets using a multiple linear regression model. Despite efforts to improve the model's explanatory power, the findings indicate that the model fails to confirm the research question. Nevertheless, the model uncovers a discernible trend in the dataset, albeit with limited explanatory capacity. These results highlight the complexity of the interplay between human development factors and domestic stock markets and suggest the need for further research and alternative modeling approaches to deepen the understanding of this relationship.

Place, publisher, year, edition, pages
2023.
Series
TRITA-SCI-GRU ; 2023:194
Keywords [en]
regression analysis, societal development, domestic stock market, bachelor thesis, applied mathematics, macroeconomic factors
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-331469OAI: oai:DiVA.org:kth-331469DiVA, id: diva2:1781513
Subject / course
Mathematical Statistics
Educational program
Master of Science in Engineering -Engineering Physics
Supervisors
Examiners
Available from: 2023-07-10 Created: 2023-07-10 Last updated: 2023-07-10Bibliographically approved

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CiteExportLink to record
Permanent link

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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