Bouabid, Nermine (2023) A Machine Learning Approach to Predicting the Movements of Green Bond Indices Using Conventional Financial Market Indices. Masters, Szegedi Tudományegyetem.
![]() |
PDF
2023_bouabid_nermine.pdf Hozzáférés joga: SZTE designated computers only Download (1MB) |
English title
A Machine Learning Approach to Predicting the Movements of Green Bond Indices Using Conventional Financial Market Indices
Institution
Szegedi Tudományegyetem
Faculty
Faculty of Economics and Business Administration
Department
Statisztikai és Demográfiai Tanszék
Discipline
Specialization
nemzetközi gazdaság és gazdálkodás
Supervisor(s)
Supervisor
Supervisor scientific name label
Email
EHA
Kazár, Klára
egyetemi adjunktus
UNSPECIFIED
UNSPECIFIED
Kuruczleki, Éva
tanársegéd
UNSPECIFIED
UNSPECIFIED
Item Type: | Thesis (Masters) |
---|---|
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: | 2024. May. 03. 14:37 |
URI: | https://diploma.bibl.u-szeged.hu/id/eprint/139544 |
Actions (login required)
![]() |
View Item |