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. Masters, Szegedi Tudományegyetem.

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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

Economics

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

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