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The purpose of this paper is to explore the impact of creditors' undervaluing the total expected cost of a borrower's bankruptcy filing because a portion of the cost will be borne by other lenders. Creditors who bear a smaller portion of the total cost of a personal bankruptcy would be expected to take less care to avoid triggering one.

This paper presents a theoretical model of a creditor's decision of how aggressively to pursue collection. The model shows that because each lender's collection actions increase the probability of bankruptcy, each lender will collect more aggressively when a borrower has many loans. The paper tests the predictions of the model using a large dataset of credit card accounts.

The model highlights an important testable result: holding the level of debt constant, a borrower with many loans is more likely to choose formal bankruptcy and less likely to choose informal bankruptcy, i.e. chronic non-repayment absent a bankruptcy filing. This paper finds evidence that strongly supports the predictions of the model. Laws that limit creditor collection actions do not appear to mitigate the effects of increasing number of loans.

While a few papers have tested whether strategic interactions may impact business bankruptcy, no paper of which the author is aware has provided clear empirical evidence of the existence of common pool effects in the personal credit market. These effects point to an important and potentially underappreciated source of risk for borrowers and creditors in this market.

A financially distressed homeowner considers bankruptcy filing, either Chapter 7 or Chapter 13, to delay foreclosure. On one hand, Chapter 13 filing takes longer processing time, spreads mortgage arrearages over the debt repayment period, and increases the possibility of loan modification. On the other hand, Chapter 7 filing discharges unsecured debt, which provides additional disposable income for mortgage payments. The paper aims to discuss these issues.

The author uses fixed-effects (within variation), random-effects, and generalized estimation equation models with time dummies on the panel data of US counties.

The results show that mortgage delinquency increases Chapter 7 filings, while it has positive but statistically insignificant effect on Chapter 13 filings. In addition, a county’s mortgage debt to income and proportion of mortgage borrowers increase its Chapter 7 filings.

The contribution of the paper is to assess the effect of mortgage credit on the bankruptcy chapter choice using the county-level data.

The purpose of this study is to examine the association between financial capability and informal bankruptcy, especially among families in which the respondent and/or spouse borrowed student loans to fund their own education and families that did not have such loans.

US nationally representative data were employed. Three family types were used, families with student loans borrowed to fund respondent and/or spouse's education and education was completed (type 1 holders) or not completed (type 2 holders), and families that did not borrow student loans for respondent and/or spouse's education (non-holders). Informal bankruptcy was measured by being insolvent and late in debt payment for 60 or more days. Financial capability was measured by both an index and its various components. Multivariate logistic regressions were conducted to examine associations between financial capability and informal bankruptcy.

Generally, financial capability was negatively associated with informal bankruptcy, and student loan holders were more likely to be informally bankrupt than non-holders. However, such negative associations were statistically significant for type 1 holders and non-holders but insignificant for type 2 holders. Two desirable financial behaviors (information search and online banking) reduced the chance of informal bankruptcy for type 2 holders.

First, cross-sectional data cannot establish a causal relationship. Second, findings using data from a single country may not be generalized to other countries.

Financial service professionals should help loan applicants evaluate the necessity of borrowing. Banking professionals can use the findings to develop products to meet different consumer needs. Financial educators should target different groups with different strategies in financial capability education. Policymakers should develop policies helping student loan holders complete education funded by student loans.

This study examines factors related to informal bankruptcy, providing insights to warning signs of bankruptcy. This study explores the potential effect of a new factor, financial capability, on informal bankruptcy, filling in a gap in the bankruptcy literature. This study recognizes differences in informal bankruptcy among various types of families and examines the different effects of financial capabilities on informal bankruptcy for different types of families.

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.

Personal bankruptcy is on the rise in Malaysia. The Insolvency Department of Malaysia reported that personal bankruptcy has increased since 2007, and the total accumulated personal bankruptcy cases stood at 131,282 in 2014. This is indeed an alarming issue because the increasing number of personal bankruptcy cases will have a negative impact on the Malaysian economy, as well as on the society. From the aspect of individual’s personal economy, bankruptcy minimizes their chances of securing a job. Apart from that, their account will be frozen, lost control on their assets and properties and not allowed to start any business nor be a part of any company’s management. Bankrupts also will be denied from any loan application, restricted from travelling overseas and cannot act as a guarantor. This paper aims to investigate this problem by developing the personal bankruptcy prediction model using the decision tree technique.

In this paper, bankrupt is defined as terminated members who failed to settle their loans. The sample comprised of 24,546 cases with 17 per cent settled cases and 83 per cent terminated cases. The data included a dependent variable, i.e. bankruptcy status (Y = 1(bankrupt), Y = 0 (non-bankrupt)) and 12 predictors. SAS Enterprise Miner 14.1 software was used to develop the decision tree model.

Upon completion, this study succeeds to come out with the profiles of bankrupts, reliable personal bankruptcy scoring model and significant variables of personal bankruptcy.

This decision tree model is possible for patent and income generation. Financial institutions are able to use this model for potential borrowers to predict their tendency toward personal bankruptcy.

Create awareness to society on significant variables of personal bankruptcy so that they can avoid being a bankrupt.

This decision tree model is able to facilitate and assist financial institutions in evaluating and assessing their potential borrower. It helps to identify potential defaulting borrowers. It also can assist financial institutions in implementing the right strategies to avoid defaulting borrowers.

This study investigates the relation of bank loan delinquencies to Fed Survey delinquency data from 2003 to 2017. Bank-generated loans have lower delinquencies than all Fed Survey loan types. Survey mortgage and auto loan delinquencies are positively related to bank loan delinquencies indicating complimentary delinquency decisions for borrowers. Conversely, student loans delinquencies are negatively related to bank loans, consistent with borrowers substituting student loan payments for bank debt for the entire sample period. Student loan delinquencies are negatively related to per-capita bankruptcy, and all other types of debt have a positive relation. The relation between Fed Survey loan delinquencies and bank-generated loan delinquencies is time varying and changed after the financial crisis in 2008.

Seemingly Unrelated Regression is used to study delinquencies for three bank loan types and whether or not they are related to Fed Survey loan delinquencies. The sample is split into pre-financial crisis before 2008 and post-crisis after 2008.

Seemingly Unrelated Regression (SUR) results show that bank delinquencies for second mortgages and “Other” loan types are consistently complementary to Fed Survey mortgage loan delinquencies. Fed Survey auto loans delinquencies are also consistent with a complimentary relation, and these results are largely driven by the relation after the financial crisis of 2008 since pre-crisis regression results are not significant for every dependent variable. Credit card loan delinquencies have a negative and substitute relation with bank-generated first mortgage loan delinquencies prior to the crisis in 2008, and with bank-generated second mortgages after the crisis. Conversely, student loan delinquencies from the Fed Survey are negatively and significantly related to bank mortgages for the entire sample period, but only with bank-generated first mortgages after 2008. The student loan delinquency results are consistent with income smoothing, on average, although this is not explicitly tested at the micro level since this study uses macro-level data and not borrower-specific data. These findings are also consistent with conventional wisdom that student loans provide “financial slack” and borrower flexibility.

A limiting factor is this study uses macro-level data and not borrower-specific data.

Empirical findings are consistent with prior research that student loans provide income smoothing and “financial slack,” and borrowers with payment challenges will pay other debt before student loans.

Borrowers in financial trouble tend to be delinquent for all debt, and more so for student debt.

To investigate whether Fed Survey delinquencies of auto loans, first mortgages, student loans and credit card loans from all sources have complementary or substitution effects with bank debt at a macro level. The study investigates whether bank debt follows “market trends” as a complementary effect, or if bank debt has a negative relation to other debt indicating a substitution effect.

Research shows that having student loan debt in retirement is associated negatively with life satisfaction, suggesting that student debt is a bane of retiree well-being. The rationale for this study is to determine the factors related to owing student debt in retirement, given the adverse effects on the well-being of retired households.

The study utilizes pooled cross-sectional data from the 2015 and 2018 U.S. National Financial Capability Study. The empirical analysis uses a sample of retired Americans aged 65 years and older (N = approximately 8,000) and estimates two-block logistic regression models to examine the effects of demographic, socioeconomic and behavioral factors on student loan indebtedness in retirement. A sensitivity analysis is performed for the subsample of retirees holding student debt for their children's education. Statistical interpretations use odds ratios.

The findings indicate that financial literacy, age, homeownership and high subjective financial knowledge are associated with a low likelihood of holding student loan debt in retirement. However, being Black, having postsecondary education, having difficulty covering expenses, having financially dependent children, having high-risk preferences and spending more than income increase the likelihood of holding student debt in retirement. The ensuing discussion will assist financial planners and educators identify practical ways to shape decisions regarding student loan debt in retirement.

The amount of student loan debt is unavailable in the dataset for analysis. One cannot infer causal relations from the study. The factors examined do not reflect the time the student loan was obtained.

The study focuses on the determinants of student loan indebtedness among retired Americans rather than young adults or older adults on the verge of retirement. The paper enhances the understanding of student loan holdings in the decumulation phase of the life cycle. Many US individuals have low retirement savings from which they draw a retirement income. The more the student debt burdens on retired Americans, the greater the likelihood of outliving their resources and experiencing poverty.

This paper points out new directions for the deepening and broadening of the institution-based view, by drawing on three streams of research with which I have been involved recently: (1) outward foreign direct investment from emerging economies, (2) bankruptcy laws and entrepreneurship development, and (3) institution-based research focusing on Africa. Such deepening has been accomplished by enhancing our institution-based understanding of foreign direct investment with a focus on emerging multinationals, while broadening has been done both substantively by probing into the impact of bankruptcy laws on entrepreneurship development around the world and geographically by calling for enhanced research attention on Africa via an institution-based lens.

This paper aims to revisit the Indian experience on corporate bankruptcy law to answer “why Indian corporate insolvency law structured differently from a manager-driven (pre-Insolvency Code) to manager-displacing model (post-Insolvency Code)?”

This paper is qualitative in nature. The paper analyses the prevailing theoretical wisdom in corporate insolvency law in India and examines the practices of Indian bankruptcy regime.

The authors argued, considering the corporate ownership composition, the Insolvency and Bankruptcy Code 2016 will not accomplish the intended objective (i.e. the “creditor primacy”). The findings refute with the evolutionary theory, i.e. debt and equity both will tend towards dispersion in outsider system of governance.

This paper put forward the imprint that Indian corporate insolvency regime is manager-displacing under Law on Books and manager-driven under Law on Practice.