A Machine Learning Approach to Predicting the Movements of Green Bond Indices Using Conventional Financial Market Indices

Bouabid, Nermine (2023) A Machine Learning Approach to Predicting the Movements of Green Bond Indices Using Conventional Financial Market Indices. ['eprint_fieldopt_thesis_type_master' not defined] thesis, Szegedi Tudományegyetem.

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Item Type:	Thesis (['eprint_fieldopt_thesis_type_master' not defined])
English title:	A Machine Learning Approach to Predicting the Movements of Green Bond Indices Using Conventional Financial Market Indices
Institution:	Szegedi Tudományegyetem
['eprint_fieldname_faculty' not defined]:	Faculty of Economics and Business Administration
Department:	Statisztikai és Demográfiai Tanszék (GTK)
['eprint_fieldname_specialization' not defined]:	nemzetközi gazdaság és gazdálkodás
Discipline:	Economics
Supervisor(s):	Supervisor Supervisor scientific name label Email EHA Kazár, Klára egyetemi adjunktus UNSPECIFIED UNSPECIFIED Kuruczleki, Éva tanársegéd UNSPECIFIED UNSPECIFIED
Subjects:	01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences 01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics 01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.20. Machine learning, statistical data processing and applications using signal processing 05. Social sciences 05. Social sciences > 05.02. Economics and business 05. Social sciences > 05.02. Economics and business > 05.02.03. Business and management
Depositing User:	szerkesztő GTK
Date Deposited:	2024. Apr. 29. 09:15
Last Modified:	2025. Oct. 03. 11:26
URI:	https://diploma.bibl.u-szeged.hu/id/eprint/139544

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