A dynamic asset allocation approach under technical analysis and machine learning classification.
Saved in:
| Title: | A dynamic asset allocation approach under technical analysis and machine learning classification. |
|---|---|
| Authors: | Luc, Gia Buu1 (AUTHOR), Wu, Chih-Chiang1 (AUTHOR) chihchiang@saturn.yzu.edu.tw |
| Source: | Applied Economics. Jul2026, Vol. 58 Issue 33, p6753-6769. 17p. |
| Database: | Business Source Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: bsu DbLabel: Business Source Ultimate An: 195177746 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A dynamic asset allocation approach under technical analysis and machine learning classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Luc%2C+Gia+Buu%22">Luc, Gia Buu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Chih-Chiang%22">Wu, Chih-Chiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chihchiang@saturn.yzu.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Economics%22">Applied Economics</searchLink>. Jul2026, Vol. 58 Issue 33, p6753-6769. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195177746 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00036846.2025.2526177 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 6753 Titles: – TitleFull: A dynamic asset allocation approach under technical analysis and machine learning classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Luc, Gia Buu – PersonEntity: Name: NameFull: Wu, Chih-Chiang IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00036846 Numbering: – Type: volume Value: 58 – Type: issue Value: 33 Titles: – TitleFull: Applied Economics Type: main |
| ResultId | 1 |