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Do women exhibit greater financial risk aversion than men? We answer this question using attitudinal and behavioral specifications of risk aversion drawn from the 2010 Survey of Consumer Finances (SCF). To approximate attitudinal specification of risk aversion, we use individuals’ self-reported financial risk tolerance. We use individuals’ relative risk aversion, that is, the effect of wealth on the proportion of assets categorized as risky as behavioral specification of risk aversion. We find that while women display greater attitudinal risk aversion, gender difference in behavioral risk aversion depends upon individuals’ marital status and role in household finances. Single women exhibit greater behavioral risk aversion compared to single men. However, this gender difference does not exist when we compare behavioral risk aversion of married women and men in charge of household finances.

The purpose of this study is to construct composite index variables of credit attitude using six attitudinal variables. This study also examines the relationship between consumer credit attitude and credit card debt behaviors.

This study used the pooled dataset of the 2010 and 2013 Survey of Consumer Finances (SCF) released by the Federal Reserve Board. A total of 8,417 households were used as our analytic sample. The credit card indices were constructed using factor analysis with polychoric correlations. Factors of the credit card debt behaviors were estimated using hierarchical logistic regression models.

The results of factor analysis identified two credit attitude indices (wants and needs). The results of hierarchical logistic regression analyses show that the credit attitude indices have a positive influence on payment behaviors; households with more favorable attitudes about credit use for non-necessities (wants) were more likely to hold an outstanding credit card balance, have irregular payment practice and pay a revolving charge.

Although there is ample documentation in the literature of credit behavior, the current literature is deficient in some areas for not addressing unobserved consumer attitudinal dispositions. Further, the separate treatment of selected survey items or an additive scale of survey items has been widely used; however, this approach cannot capture multidimensional characteristics among attitudinal items if credit attitude is not necessarily unidimensional. In response to the shortfall in the extant literature on credit card behavior, this study examined multidimensional aspects of credit attitude as a determinant of credit card debt behavior through methodological justification. Implications for future research and practitioners are provided.

The purpose of this paper is to document debt delinquency patterns by family lifecycle categories using multiple data sets that are nationally representative of American families.

Based on previous research, 15 lifecycle categories appropriate for American families are defined by household head's age, marital status, presence of children, and age of children. Data used are from Surveys of Consumer Finances (SCF) in the USA in 1992-2010. Multiple logistic regressions are conducted to identify probabilities of debt delinquencies of families in various lifecycle categories by controlling for income, financial assets, holdings of several types of debt, and several other demographic and socioeconomic variables.

The results show that among the 15 household lifecycle categories, the top three most likely to be delinquent are young couples with children aged seven or older, middle-aged singles with children aged 15 or older, and middle-aged singles with children under 15. Younger households are more financially distressed than their older counterparts. Presence of children increases the probability of debt delinquency.

In this study, multiple national data sets representing American families are used to document debt delinquency patterns by family lifecycle categories. Results shed light on this important topic and offer helpful information for both banking industry practitioners and consumer financial educators.

The information produced by this study can help bank managers better identify their potential clients and understand their current customers. Different marketing strategies based on the research findings can be developed to attract and retain customers with different delinquency risks.

This is the first study to examine debt delinquencies by family lifecycle categories with multiple SCF data sets in the USA. The 15 family lifecycle categories used are based on recent research that is specially designed for American families. The research findings provide straightforward implications for both bank managers and consumer educators.

The purpose of this paper is to investigate driving forces behind mortgage rate choice among homeowners in a market of no mortgage rate spread. The study reported on was conducted in Sweden, a country relatively spared both from effects of the subprime crisis and the on-going Euro-crisis. A number of potentially influential factors, such as respondents’ risk aversion, financial vulnerability, experience, expectations as well as the impact of media and bank advisors are examined and a number of demographic factors controlled for.

The study reported on is based on data from a national randomized survey conducted in Sweden in 2012. An empirical analysis is carried out on a sample of 474 households with mortgages. A logistic regression is performed to test a model based on hypothesized factors.

The study shows that consumers choosing fixed rate mortgages (FRMs) have high LTV and high risk aversion and perceive their choice as having been influenced by bank advisors. This is in line with earlier findings. Lower levels of – or no – FRMs (more adjustable rate mortgages) seems to be attractive for the wealthier with higher education and previous experience of home owning. Other factor negatively affecting the choice of FRMs are: being younger; being influenced by media; and perceiving oneself as financially vulnerable.

To summarize, this paper contributes to research in two major ways: first, the Swedish case is modeled against a review of international research on mortgage rate choice. Second, a number of consumer-related factors are investigated, and their relative contribution as drivers of a choice of FRMs are tested. This gives input to more theoretical research conceptualizing a model for the understanding of how consumer mortgage rate choices are made.

The results should serve as an alarm bell for the industry, as the consumers described – the youngest mortgage holders, the financially vulnerable with low repayment capacity and those easily influenced by reports in media – are a potential threat to stable development of long term customer relations and mortgage portfolios.

The results gives reason for policy makers to address the question and reasons to call for more studies of the preferences and choices of the younger consumers.

This study represents an investigation into some factors not often studied in relation to mortgage rate choice. It also highlights the Swedish case and puts it in an international context.

Provides background to the current literature on buying intentions and describes some recent research on the subject. States traditional short‐term econometric forecasting models for durables generally represent expenditure as a function of disposable income, relative price, an index of hire‐purchase control, and an estimation of the total stock of durables. Discusses US experience in depth, with literature examples. Sums up that current research is now engaged on testing the hypothesis that intentions are primarily expressed by initial purchasers.

The purpose of this study was to examine family structure differences in debt types and burdens of American families.

Data was from the 2016 Survey of Consumer Finances. Eight types of family structures, five specific debts, and two debt burden indicators are examined with multivariate logistic regressions.

After controlling for several socioeconomic variables, multivariate logistic regression results show that married with children families are more likely than five other family types to have any debt. In terms of specific debt, married with children families are more likely than six other types of families to have mortgages, four other types to have credit card loans, five other types to have to vehicle loans, three other types to have education loans, and one other type to have purchase loans. Married with children families are more likely than three other types of families (childless married couples, single males, and single females) to be late in debt payment for 60 or more days.

The data is limited to one-year cross-sectional data. To gain more insights on this topic, panel data could be used.

The findings can be used for financial service professionals to identify loan demand and risk associated with various family structures and develop effective marketing strategies to serve these clients.

The findings are informative for public policymakers to develop family friendly economic policies and for consumer educators who help consumers make effective financial decisions when borrowing various types of loans.

First, this study uses an innovative definition of family structure that counts several nontraditional family structures. Second, this study examines family structure differences in holdings of five specific debts together.

In recent decades, research on consumer debt and well-being is emerging. However, research on the potential effect of debt portfolios on family financial well-being is limited. The purpose of this study is to fill this research gap by examining the potential effect of debt portfolios on family financial well-being, measured by three indicators of progressive financial burdens. These indicators include debt pressure (debt payment to income ratio >40%), debt delinquency (60+ days late for debt payments) and insolvency (total liability > total asset). Debt portfolios refer to various combinations of mortgage, credit card, vehicle, education and other loans.

With data from the 2019 Survey of Consumer Finances in the USA, multivariate logistic regressions are used to identify specific debt types, consumer backgrounds and financial capability factors that are significantly associated with debt burden indicators. The findings are used to create a table demonstrating warning debt portfolios that may lead to undesirable financial outcomes.

Holdings of different types of debts are associated with different financial burdens. Specifically, holdings of three types of debts (mortgage, vehicle and other debts) tend to increase debt pressure; holdings of two types of debts (education and other debts) tend to increase debt delinquency; and holdings of four types of debts (mortgage, credit card, education and other debts) tend to increase insolvency. These results are used to construct warning debt portfolios that show greater chances of undesirable financial outcomes. Among them, the top warning portfolio for debt pressure is the combined holding of mortgage-vehicle-other debts; for debt delinquency is the holding of education-other debts; and for insolvency is the holding of mortgage-credit card-education-other debts.

This study is limited by using only cross-sectional survey data to examine associations between debt portfolios and financial burdens. To examine the causality of debt portfolios on financial burdens, appropriate panel data are necessary, which is a direction for future research. In addition, this study used data from only one developed country. In future research, data from more countries, including both developed and developing countries, should be analyzed to verify if similar relationships exist among families in other countries.

Results of this study have implications for practitioners in banking and other financial institutions. The study presents a comprehensive list of debt portfolios in the order from high risk to low risk in terms of financial burdens. Banking and other financial service professionals can use the information to help their clients make informed borrowing decisions, predict their debt burdens and offer early preventions based on their clients' debt portfolios. Marketing strategists can use the information for effective segmentation and promotion purposes.

This study utilizes a new concept, debt portfolios and examines its associations with family financial burdens. Financial burdens include three indicators that are seldom used together in previous research. These indicators conceptually indicate various severity levels of debt burdens. This study also presents a conceptual discussion on the association between debt portfolios and financial burdens and provides a better understanding of consumer debt behavior and its consequences. The warning debt portfolios constructed based on the findings have direct managerial implications for banking and other financial service professionals.

The purpose of this literature review paper is to define consumer finance, describe the scope of consumer finance and discuss its future research directions.

In this paper, consumer finance is used as a synonym of household finance. Consumers refer to individuals and families. After defining the term “consumer finance,” we conducted a critical review of consumer finance as an interdisciplinary research field in terms of money managing, insuring, borrowing and saving/investing. Future research directions are also discussed.

This paper discusses similarities and differences among several terms such as consumer finance, household finance, personal finance, family finance and behavioral finance. The paper also reviewed key studies on consumer financial behavior around four key financial functions, namely, money management, insurance, loan and saving/investment and several nontraditional topics such as fintech and financial capability/literacy. The paper also introduced several datasets of consumer finance commonly used in the United States and China.

This paper clarified several similar terms related to consumer finance and sorted out the diverse literature of consumer finance in multiple disciplines such as economics, finance and consumer science, which provide a foundation for generating more fruitful research in consumer finance in the future.

The 2007–2009 financial crisis initially appeared to have destroyed a huge amount of wealth in the United States. Housing prices dropped about 21% across the country and as much as 50% in some places, and the stock market dropped by nearly 50% as well. This chapter examines how the financial crisis differentially affected households at different parts of the income and wealth distributions. Our results show that all households lost about the same percentage of their wealth in that period. But because households in the top 10% of the wealth distribution owned many different kinds of assets, their wealth soon recovered. The bottom 80% of the wealth distribution had more of their wealth tied up in housing. We show that financial distress, indexed by foreclosures, being behind in mortgage payments, and changes in house prices were particularly concentrated in households in the bottom 80% of the wealth distribution. These households lost a large part of their wealth and have not yet recovered. Households that were most deeply affected were those who entered the housing market late and took out subprime loans. African American and Hispanic households were particularly susceptible as they bought houses late in the price bubble often with subprime loans.

The purpose of this article is to develop a theoretical explanation – financial numeracy – for consumer proficiency with financial services. With sufficient financial numeracy, consumers benefit fully from financial services and make competent choices in regard to financial management.

The article builds theory by combining consumer cognitive capacity and customer knowledge theories with findings from prior studies of consumer difficulties with financial services to introduce a comprehensive model of the antecedents and consequences of financial numeracy with testable propositions for many psychographic and cultural influences and moderators.

Financial numeracy demands that consumers possess sufficient financial information processing capacity and ability as well as sufficient prior knowledge of financial concepts. Although partly a function of individual cognitive ability, it can be enhanced through appropriate experience with financial instruments and familiarity through personal financial materials when consumers are motivated to process them. Financial numeracy directly affects financial management outcomes related to borrowing, saving, and taxes. It indirectly affects higher‐order financial consequences, such as a consumer's credit score, interest rates charged on subsequent loans, net worth, likelihood of bankruptcy, and size of inheritance.

Consumers around the world are increasingly experiencing difficulties with financial services. To advance research in financial services marketing beyond documenting troublesome financial behaviours of consumers, this conceptual model provides insights to help increase consumer proficiency in comprehending and managing financial services based on knowledge about consumer information processing, learning, memory and the cultural and psychographic influences on these internal processes.