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Volatility modelling with exogenous binary variables
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , p. 38
Series
U.U.D.M. project report ; 2017:27
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-325844OAI: oai:DiVA.org:uu-325844DiVA, id: diva2:1117082
External cooperation
Volt Capital Management AB
Educational program
Master Programme in Mathematics
Supervisors
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Available from: 2017-06-28 Created: 2017-06-28 Last updated: 2017-06-28Bibliographically approved

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File name FULLTEXT01.pdfFile size 969 kBChecksum SHA-512
85febd12d27942b643f84d9123e1f656083d40d054163ffe01ec6d021672b5771c4f6767a00a625e4eb6a7bd53b18a247bf78df21d2a66955d0f798fd40cb90e
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
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Language
  • de-DE
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Output format
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