6 research outputs found

    Factors influencing overindebtedness: a logistic regression analysis of consumers in Bangkok

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    Overindebtedness is a source of default risk facing by commercial banks and loan institutions. Although studies of factors influencing individuals’ indebtedness are prevalent, less of previous studies had examined financial factors distinguishing mild-debtors from overindebted individuals. The present study aims at identifying and empirically testing the financial factors (i.e. financial literacy, experiences in using financial services, and money management) which distinguish mild-debtors from overindebted individuals. Questionnaires were distributed to 440 respondents who are at working age in Bangkok area. Logistic regression analysis was employed in order to identify critical factors distinguishing milddebtors from overindebted individuals. Findings from the present study indicated that financial literacy and experience in using financial services were not significant factors that distinguished mild-debtors from overindebted individuals. Money management, i.e. credit management and saving management were found to be the most significant factors distinguishing mild-debtors from overindebted individuals. Results from the present study provide implications for financial institutions to reduce adverse selection problems. Since credit management is the most critical factors influencing overindebtedness beyond other factors, records of previous credit usages and payment behaviors of individuals must be seriously take into account when determining credit approval. To reduce insolvency risk, credit rating must be used as the first priority when financial institutions approving loans. In addition, results from the present study also provide implications for policy makers to reduce personal debt problem. Since financial literacy in term of numeric calculation is not a significant factors affecting overindebtedness, financial education that emphasizes mathematic and numeric calculation may not sufficient to reduce overindebtedness problem, training on how to manage individuals’ budget, saving, and using credit carefully must be emphasized to reduce financial problems

    Causes and Consequences of Compulsive Buying Behavior: The Moderator Effects of Gender and Generation

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              Compulsive buying has received attention from academicians in several countries. Past empirical studies (i.e. of Achtziger et al., 2015; Donnelly et al., 2013; Gupta, 2013; Moon & Attiq, 2018) emphasized on some personality factors, (i.e. materialism, self-esteem, and self-control) that influence compulsive buying behavior. The present study fills this gap by: 1) incorporating delay-gratification as another important trait factor affecting compulsive buying behavior, 2) simultaneously examining the influence of personality traits on compulsive buying behavior and its effects on credit card usage and credit card debts, and 3) observing variations of study results among different groups of gender and generation (Gen X, Gen Y, & Baby Boomers). Data are collected from 550 shoppers who hold credit cards at the 11 shopping malls in Bangkok. Results from Structural Equation Model indicated that 1) materialism has a positive influence on compulsive buying behavior, while self-control, self-esteem, and delay-gratification have negative influences on compulsive buying behavior, 2) there is a positive influence of compulsive buying behavior on credit card usage and credit card debts, 3) in examining the moderating role of gender and generation on the relationships among the personality traits, compulsive buying behavior, and financial behaviors, the multigroup analysis has revealed that gender has a moderating effect on the relationship between self-control and compulsive buying behavior only while, 4) generation (Gen Y versus Baby Boomers) has moderating effects on the relationships of materialism and delay-gratification on compulsive buying behavior, and the relationships between compulsive buying behavior and credit card debts. Keywords:  Causes and Consequences, Compulsive Buying Behavior, Credit Card Debts, Credit Card Usage, Gender, Generation, Structural Equation Model (SEM

    Financial Development : Disaggregate Analysis of Financial Depth, Financial Access and Financial Efficiency

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    In this study, we empirically test whether the level of financial development varies across countries with different income levels and examine whether the development of each aspect (i.e. depth, access, and efficiency) of financial institutions and financial markets is conditional upon the level of country’s economic development. By analyzing the Global Financial Development data of the World Bank for 206 countries in 7 regions during 1960 2015, our results indicate that the level of financial development varies significantly across countries in different income groups. By decomposing financial development into six dimensions, the results show that financial institution depth, financial institution access, financial market depth, and financial market efficiency increase as the level of country’s development increases. However, we find that financial institution efficiency, as measured by operating performance of the banking sector, deteriorates in high-income countries. The ability of firms to access to bond markets improves but firms’ accessibility to stock markets deteriorates in countries with higher levels of income
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