Detecting turning points in high-frequency financial data analysis.

Saved in:
Bibliographic Details
Title: Detecting turning points in high-frequency financial data analysis.
Authors: Zhan, Yaosong1,2, Liu, Zhenya3,4, zhenya.liu@ruc.edu.cn
Source: Annals of Operations Research; Aug2026, Vol. 363 Issue 2, p1327-1354, 28p
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: 196061878
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Detecting turning points in high-frequency financial data analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhan%2C+Yaosong%22">Zhan, Yaosong</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Zhenya%22">Liu, Zhenya</searchLink><relatesTo>3,4</relatesTo>, <i>zhenya.liu@ruc.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Aug2026, Vol. 363 Issue 2, p1327-1354, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=196061878
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10479-025-06542-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 1327
    Titles:
      – TitleFull: Detecting turning points in high-frequency financial data analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhan, Yaosong
      – PersonEntity:
          Name:
            NameFull: Liu, Zhenya
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 02545330
          Numbering:
            – Type: volume
              Value: 363
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Annals of Operations Research
              Type: main
ResultId 1