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Volatilitetsprognoser för OMXS30: Utvärdering av ARCH/GARCH-modeller till prognostisering av volatilitet för OMXS30 med realiserad volatilitet som referenspunkt
Örebro University, Örebro University School of Business.
Örebro University, Örebro University School of Business.
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 45
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-67985OAI: oai:DiVA.org:oru-67985DiVA, id: diva2:1233499
Subject / course
Statistik
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Examiners
Available from: 2018-07-18 Created: 2018-07-18 Last updated: 2018-07-18Bibliographically approved

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fulltext(1625 kB)5 downloads
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File name FULLTEXT01.pdfFile size 1625 kBChecksum SHA-512
dedf93fdfe69d6bb5fe4fa862afa57f1395fa6b423ea7f8fc01881fc59ce5d9e71c04804871e99d9b7b1a147206a48aaa8b5af0ac2510cffefae7294cec364f9
Type fulltextMimetype application/pdf

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Örebro University School of Business
Probability Theory and Statistics

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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Output format
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