FINANCIAL RISK MANAGEMENT IN INVESTMENT PROJECTS: BUILDING A PREDICTIVE MODEL BASED ON BIG DATA

dc.contributor.author	Elnaza Kassymkhanova
dc.date.accessioned	2025-12-31T13:04:20Z
dc.date.issued	2025-09-14
dc.description.abstract	In the conditions of unstable financial markets, effective risk management is the key to successful investments. This article is devoted to the use of Big Data and machine learning technologies to create a predictive model capable of assessing and reducing financial risks. An algorithm for combining data from various sources is described and the results of testing the model on real investment examples are demonstrated.
dc.format	application/pdf
dc.identifier.uri	https://scholarexpress.net/index.php/wbml/article/view/5499
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/46319
dc.language.iso	eng
dc.publisher	Scholar Express Journals
dc.relation	https://scholarexpress.net/index.php/wbml/article/view/5499/4659
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	World Bulletin of Management and Law; Vol. 50 (2025): WBML; 20-22
dc.source	2749-3601
dc.subject	financial risks
dc.subject	investment projects
dc.subject	Big Data
dc.title	FINANCIAL RISK MANAGEMENT IN INVESTMENT PROJECTS: BUILDING A PREDICTIVE MODEL BASED ON BIG DATA
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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