Change search
CiteExportLink to record
Permanent link

Direct link
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
Forecasting Financial Time Series Using a Pattern MatchingTechnique
Stockholm University, Faculty of Social Sciences, School of Business.
Stockholm University, Faculty of Social Sciences, School of Business.
2002 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This is an examination of a model for prediction of financial time series. The prediction model is mainly a model for finding data in the past that remind of today's situation using a pattern matching technique called ``Nearest neighbour method''. The main difference from earlier studies is that technical analysis data is added to the input. A study of the existing research is also done to place our research in a context and to give a more objective view of our conclusions.

Place, publisher, year, edition, pages
2002.
National Category
Business Administration
Identifiers
URN: urn:nbn:se:su:diva-3170OAI: oai:DiVA.org:su-3170DiVA: diva2:192396
Uppsok
samhälle/juridik
Available from: 2007-01-05 Created: 2007-01-05

Open Access in DiVA

No full text

By organisation
School of Business
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 26 hits
CiteExportLink to record
Permanent link

Direct link
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