Graph Theory Applications in in Investment Analysis and Risk Risk Modeling

Koceva Lazarova, Limonka and Antova, Anastasija and Stojkovic, Natasa and Stojanova, Aleksandra and Kokalanov, Vasko (2025) Graph Theory Applications in in Investment Analysis and Risk Risk Modeling. In: 11th International Conference “Modern trends in science” (FMNS-2025), 11-15 June 2025, Blagoevgrad, Bulgaria.

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Official URL: https://fmns2025.swu.bg/

Abstract

This paper explores the application of graph theory in investments and financial modeling. It presents key graph types, representations, and algorithms, with a focus on their use in Python to assess risk, model markets, and optimize portfolios. Graph-based methods help investors better understand risks and select optimal investment strategies.

Item Type: Conference or Workshop Item (Paper)
Subjects: Natural sciences > Computer and information sciences
Natural sciences > Matematics
Divisions: Faculty of Computer Science
Depositing User: Limonka Koceva Lazarova
Date Deposited: 21 May 2026 08:21
Last Modified: 21 May 2026 08:22
URI: https://eprints.ugd.edu.mk/id/eprint/38435

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