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Machine Learning For Financial Engineering

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Title: Machine Learning For Financial Engineering
Description: This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment.The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
Authors: Laszlo Gyorfi, Gyorgy Ottucsak, Harro Walk
Resource Type: eBook.
Subjects: Machine learning, Financial engineering--Data processing, Investments--Data processing
Categories: COMPUTERS / Artificial Intelligence / General, BUSINESS & ECONOMICS / Finance / General, MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1044.26904296875
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  Data: Machine Learning For Financial Engineering
– Name: Abstract
  Label: Description
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  Data: This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment.The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
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  Data: <searchLink fieldCode="AR" term="%22Laszlo+Gyorfi%22">Laszlo Gyorfi</searchLink><br /><searchLink fieldCode="AR" term="%22Gyorgy+Ottucsak%22">Gyorgy Ottucsak</searchLink><br /><searchLink fieldCode="AR" term="%22Harro+Walk%22">Harro Walk</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Financial+engineering--Data+processing%22">Financial engineering--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Investments--Data+processing%22">Investments--Data processing</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.31
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Financial engineering--Data processing
        Type: general
      – SubjectFull: Investments--Data processing
        Type: general
    Titles:
      – TitleFull: Machine Learning For Financial Engineering
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Laszlo Gyorfi
      – PersonEntity:
          Name:
            NameFull: Gyorgy Ottucsak
      – PersonEntity:
          Name:
            NameFull: Harro Walk
      – PersonEntity:
          Name:
            NameFull: Laszlo Gyorfi
      – PersonEntity:
          Name:
            NameFull: Gyorgy Ottucsak
      – PersonEntity:
          Name:
            NameFull: Harro Walk
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2012
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781848168138
            – Type: isbn-electronic
              Value: 9781848168145
          Titles:
            – TitleFull: Machine Learning For Financial Engineering
              Type: main
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