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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1842
Title: A machine learning approach for prediction of financial well-being
Authors: Huynh Cam Tu 
Keywords: Machine learning;Financial well-being
Issue Date: 2024
Abstract: 
Financial well-being (FWB) is a crucial determinant of individuals' economic security and overall quality of life, encompassing dimensions beyond traditional economic metrics. Recent global transformations, initiated by events like the COVID-19 pandemic and rapid technological advancements, have reshaped societal norms and economic landscapes. These changes underscore the need to comprehensively understand the factors influencing FWB to develop effective strategies for enhancing financial health among populations. TheCOVID 19 pandemic profoundly disrupted economies worldwide, triggering widespread job losses, remote work transitions, and shifts in consumer behavior.this thesis aims to explore the predictive capabilities of machine learning models in forecasting FWB within Romania. By examining the interplay of socioeconomic factors, financial behaviors, and institutional frameworks, the study seeks to illuminate pathways towards enhancing FWB and fostering economic resilience. This research fills a critical gap in understanding how digital transformations, economic policies, and societal changes shape individuals' financial health, providing insights essential for informed policy-making and intervention strategies. In conclusion, the study underscores the
complexity of FWB in the face of global and local economic shifts, emphasizing the need for comprehensive research and targeted interventions to promote financial stability and well-being across diverse populations
URI(1): https://epub.vgu.edu.vn/handle/dlibvgu/1842
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Computer Science (CS)

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