Analyzing financial markets dynamics: a statistical equilibrium framework for stocks and cryptocurrencies.
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| Title: | Analyzing financial markets dynamics: a statistical equilibrium framework for stocks and cryptocurrencies. |
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| Authors: | Citera, Emanuele1, ecitera@bard.edu, De Pretis, Francesco2,3, francesco.depretis@unimore.it |
| Source: | Annals of Operations Research; Feb2026, Vol. 357 Issue 1, p11-43, 33p |
| 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: 191206913 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analyzing financial markets dynamics: a statistical equilibrium framework for stocks and cryptocurrencies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Citera%2C+Emanuele%22">Citera, Emanuele</searchLink><relatesTo>1</relatesTo>, <i>ecitera@bard.edu</i><br /><searchLink fieldCode="AU" term="%22De+Pretis%2C+Francesco%22">De Pretis, Francesco</searchLink><relatesTo>2,3</relatesTo>, <i>francesco.depretis@unimore.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Feb2026, Vol. 357 Issue 1, p11-43, 33p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191206913 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-024-06451-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 11 Titles: – TitleFull: Analyzing financial markets dynamics: a statistical equilibrium framework for stocks and cryptocurrencies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Citera, Emanuele – PersonEntity: Name: NameFull: De Pretis, Francesco IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 357 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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