Detecting turning points in high-frequency financial data analysis.
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| Title: | Detecting turning points in high-frequency financial data analysis. |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 196061878 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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