View in EDS HTML Full Text PDF Full Text

Machine learning models and ensemble methods for stock index return forecasting.

Saved in:
Bibliographic Details
Title: Machine learning models and ensemble methods for stock index return forecasting.
Authors: Bielskis, Aivaras1, aivaras.bielskis@mif.stud.vu.lt, Belovas, Igoris1
Source: Networks & Heterogeneous Media; 2026, Vol. 21 Issue 3, p1-17, 17p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194895899
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning models and ensemble methods for stock index return forecasting.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Bielskis%2C+Aivaras%22">Bielskis, Aivaras</searchLink><relatesTo>1</relatesTo>, <i>aivaras.bielskis@mif.stud.vu.lt</i><br /><searchLink fieldCode="AU" term="%22Belovas%2C+Igoris%22">Belovas, Igoris</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Networks+%26+Heterogeneous+Media%22">Networks & Heterogeneous Media</searchLink>; 2026, Vol. 21 Issue 3, p1-17, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194895899
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Titles:
      – TitleFull: Machine learning models and ensemble methods for stock index return forecasting.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bielskis, Aivaras
      – PersonEntity:
          Name:
            NameFull: Belovas, Igoris
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 15561801
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Networks & Heterogeneous Media
              Type: main
ResultId 1