Finansal Oranlar Yardımıyla Hisse Senedi Getirilerinin Random Forest, XGBoost ve LightGBM ile Tahmin Edilmesi: BIST’te Bir Uygulama.
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| Title: | Finansal Oranlar Yardımıyla Hisse Senedi Getirilerinin Random Forest, XGBoost ve LightGBM ile Tahmin Edilmesi: BIST’te Bir Uygulama. |
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| Alternate Title: | Predicting Stock Returns Using Financial Ratios with Random Forest, XGBoost, and LightGBM: An Application on BIST. |
| Authors: | Yılmaz, Hakan1 hyilmaz@agri.edu.tr |
| Source: | International Journal of Economics, Business & Politics (UEIP). Spring2026, Vol. 10 Issue 1, p415-440. 26p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 194268990 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Finansal Oranlar Yardımıyla Hisse Senedi Getirilerinin Random Forest, XGBoost ve LightGBM ile Tahmin Edilmesi: BIST’te Bir Uygulama. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Predicting Stock Returns Using Financial Ratios with Random Forest, XGBoost, and LightGBM: An Application on BIST. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yılmaz%2C+Hakan%22">Yılmaz, Hakan</searchLink><relatesTo>1</relatesTo><i> hyilmaz@agri.edu.tr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Economics%2C+Business+%26+Politics+%28UEIP%29%22">International Journal of Economics, Business & Politics (UEIP)</searchLink>. Spring2026, Vol. 10 Issue 1, p415-440. 26p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=194268990 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.29216/ueip.1824202 Languages: – Code: tur Text: Turkish PhysicalDescription: Pagination: PageCount: 26 StartPage: 415 Titles: – TitleFull: Finansal Oranlar Yardımıyla Hisse Senedi Getirilerinin Random Forest, XGBoost ve LightGBM ile Tahmin Edilmesi: BIST’te Bir Uygulama. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yılmaz, Hakan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Spring2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25872559 Numbering: – Type: volume Value: 10 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Economics, Business & Politics (UEIP) Type: main |
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