The study examines the relationship between financial diligence, risk tolerance, and financial situation assessment, as well as their correlations with various socio-demographic factors. The authors used the 2022 Hungarian dataset from the OECD’s (Organisation for Economic Co-operation and Development) recurring international financial literacy survey for their analysis. The results indicate that respondents generally monitor their finances carefully, tend to avoid risks, and report low levels of satisfaction. A moderately strong positive relationship exists between the dimensions of financial behavior. This suggests that both diligence and appropriate risk management are crucial for financial awareness and contribute to financial satisfaction. Through cluster analysis, ten well-distinguished groups were identified differing in financial behavior and attitudes. Differences between the clusters highlight that socio-demographic factors – such as age, income, type of residence, and employment status – fundamentally influence individuals' financial decision-making.

The aim of this study is to explore the role of demographic factors in strategies to address financial problems, based on data from the OECD Financial Literacy Survey 2022 in Hungary. The analysis focused on differences in age, gender, type of residence, income, and region. The research used multivariate statistical methods, such as canonical correlation analysis and Ridge regression, to identify associations between demographic factors and financial behavior. The results showed that region and age are the most significant determinants of financial strategy choice, while education and income have a smaller impact. Residents in Budapest showed higher financial awareness and more diversified strategies compared to a more traditional approach for rural residents. The results suggest the development of targeted financial education programs that take demographic and regional differences into account, thus supporting the enhancement of financial stability.

The purpose of the study is to reveal the role of demographic factors in the strategies for managing financial problems, based on the data of the OECD’s 2022 financial culture survey in Hungary. The focus of the analysis was age, gender, type of residence, income and differences between regions. The research used multivariate statistical methods such as canonical correlation analysis and Ridge regression to identify relationships between demographic factors and financial behavior. The results showed that region and age are the most significant determining factors in the choice of financial strategies, while education and income have a smaller impact. Budapest residents showed higher financial awareness and more diversified strategies, compared to the more traditional approach of rural residents. Based on the results, it is recommended to develop targeted financial education programs that take into account demographic and regional differences, thereby supporting the increase of financial stability.

Purpose: The central research question of the study is how objective financial knowledge and subjective financial confidence interact and relate to digital financial behavior and the use of FinTech tools. By examining both objective knowledge refers to measured, test-based financial competence and subjective confidence denote self-assessed financial understanding, the research offers insight into the psychological and demographic drivers of FinTech use and perceived financial well-being. Design/methodology/approach: Based on the OECD’s 2023 international financial literacy survey, the study uses a nationally representative Hungarian sample. It employs non-parametric statistical methods, linear regression, and two-step cluster analysis. Three composite indicators, general digital activity, digital financial engagement frequency, perceived financial security were developed to measure general digital activity, frequency of digital financial engagement, and perceived financial security. Findings: Results reveal a moderate but significant correlation between actual and self-assessed financial knowledge. Men score higher on both measures, though self-assessment bias does not significantly differ by gender. Higher education and income levels are associated with stronger financial literacy and more frequent use of FinTech tools, while age correlates negatively. However, the accuracy of self-perception is not explained by these demographic factors. Cluster analysis identifies four distinct financial knowledge profiles and five consumer digital behavior types, revealing disparities in digital financial inclusion and confidence. Originality: This research contributes a multidimensional perspective on how consumer capabilities, attitudes, and digital behavior influence FinTech adoption. By integrating behavioral, demographic, and psychological factors, the study offers practical implications for targeted financial education and the design of inclusive, human-centered digital financial services—especially relevant for emerging European markets.