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The assets of bankrupt firms are usually sold to unsuitable buyers at an extremely discounted price. Aiming to reduce the bankruptcy cost, the purpose of this paper is to propose a novel insurance system for associated loans.

In this insurance system, the joined firms are from the same industry and have a responsibility to buy the assets of potentially bankrupt firms at a relatively high price, because they could make better use of the assets than the buyers outside the industry. Further, the authors use the Shapley value to address the problem of bankruptcy cost allocation and additionally employ the method of Monte Carlo simulation to derive the numerical solution of the insurance premium of bankruptcy cost.

First, the relatively healthy and solvent firms in the insurance system could gain a larger proportion of benefits derived from the reduced cost of default, interestingly, the more so when the external cost of default is larger. Second, given the positive relationship between bankruptcy cost and asset correlation in practice, lenders and insurers face a trade-off to balance the cost against the benefit of asset correlation. Third, insurance premiums and bankruptcy costs decrease with the number of firms participating in this insurance system.

This paper proposes a novel insurance for associated loans, in which joined firms can pay a relatively low insurance premium due to the realization of reducing bankruptcy cost.

In 2009, effective the second-quarter, the financial accounting standards board mandated that all banks need to disclose the fair value of loans in their 10-Q filings in addition to their 10-K filings. This paper aims to investigate whether these disclosures reduced the level of information asymmetry about the riskiness of bank loan portfolios during the financial crisis.

The paper examines the impact of these disclosures on the bid-ask spread of a panel of 246 publicly traded bank holding companies. The spread serves as a proxy for information asymmetry and the ratio of the fair value of a bank’s loan portfolio to its book value is a proxy for the credit and liquidity risk associated with the same. The reaction to the first-quarter filing serves as a control to assess the reaction at the time of the second-quarter filing.

There is a significant negative association between bid-ask spread and the ratio indicating that the fair value information was useful in reducing information asymmetry during the financial crisis. A pattern was observed in the information dissemination related to the fair value of loans that is consistent with the literature that documents a delayed investor reaction to complex financial information.

Investors may use the fair value information to better assess the risk profile of a BHC’s loan portfolio. Also, loan fair values provide managers with data to better implement stress test models and determine optimal capital buffers.

Prior research suggests that given the legal environment in the U.S., smaller syndicates with fewer lead banks should represent “best practices” to promote efficient monitoring and ease of renegotiation. Such syndicates should be associated with lower loan spreads. Controlling for other influences on loan pricing, we conduct tests of this proposition drawing on data from DealScan, Compustat and Federal Reserve Call Reports for U.S. loans between 1988 and 1999. Consistent with our hypothesis, the number of lead lenders is shown to have a significant positive influence on loan yield spreads.

The purpose of this study is to examine the effects of social disclosure on loan funding and repayment within the fixed-rate peer-to-peer (P2P) lending model.

By analyzing 31,637 loans from the largest P2P lending company in the USA, the authors study the effects of different forms of social disclosures and the specific contents of such disclosures on the speed of funding, amount borrowed, recovered principal amount and loan default.

Some social disclosures help to fund a loan and are positively associated with loan repayment. The findings reveal prescriptive ways P2P borrowers indicate creditworthiness through social disclosure on loan listings.

The results suggest that it is advantageous for P2P borrowers to invest time into well-written loan descriptions and remain engaged with potential lenders.

The authors show that some social disclosure factors that affect funding time and likelihood do not necessarily affect the loan default and repayment in the same way.

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.

In recent years, socially disadvantaged farmers and ranchers have increased their usage of nontraditional lending nearly converging to levels of usage observed for nonsocially disadvantaged groups. The purpose of this research is to explore explanations for this trend in lending utilization by socially disadvantaged farmers and ranchers by examining factors that influence credit usage and credit choice.

A multinomial logit is used to estimate the probability of loan choice given characteristics of the producer and farm.

While not a causal analysis, the results suggest that farm characteristics, which differ between socially disadvantaged and nonsocially disadvantaged producers, are associated with a lower likelihood of credit usage by an average socially disadvantaged farmer. For those that have loans, socially disadvantaged producers exhibit higher debt-to-asset ratios and lower current ratios, characteristics that are typically associated with higher than observed probability of usage of loans other than nontraditional. Socially disadvantaged producers also have lower value of assets which is associated with a higher probability of nontraditional loan usage.

This research is among the first to examine loan usage of socially disadvantaged producers using nationally representative data.

The purpose of this study is to evaluate if access to local branch infrastructure of the farm credit system institutions (FCS), banks and credit unions (BCU), and alternative financial services (AFS) providers is related to the use of credit from non-traditional lenders (NTLs). The focus is on beginning and women operators who are typically credit constrained and thus more likely to suffer from closures of bank branches and consolidation of traditional agricultural lenders.

Informed by Detragiache et al. (2000), the authors specify farmers’ use of loans as a function of their access to credit (measured by the branch density of each lender type) along with operator’s and operation’s controls. The measures of loans by NTLs (number, use, share and lender type) require the use of Poisson, Probit, Tobit and Multinomial Logit techniques. This study utilizes individual producer data from the 2018 Agricultural Resource Management Survey and 2018 county-level branch density data for FCS, BCU and AFS providers.

Access to credit from FCS is helpful to BFRs only, while access to AFS is associated with the use of loans from NTLs by women but not by BFRs. As expected, access to BCU credit matters for the use of loans from NTLs, with a complementary effect for BFRs but a substitution effect for women’s use of such loans.

There are no studies on local agricultural credit markets in the US that evaluate the implications from changes in access to credit on credit-constrained borrowers and their use of NTLs’ credit.

This paper aims to clarify the relationship between wealth and trustworthiness with the goal of understanding why micro‐lending institutions grant loans to poor individuals countering well‐known models of credit markets and credit rationing, such as those proposed by Stiglitz and Weiss. Micro‐credit markets appear to be based on two conjectures: the poor are trustworthy, and their willingness to pay for credit is relatively high.

The paper simulates trust‐based lending in an experimental setting to determine whether the conjecture that the poor are trustworthy is plausible. By conducting the experiments in the USA, a wealthy developed country, and China, a developing country where formal micro‐finance institutions have not established a visible presence, it is possible to test the conjecture and draw cross‐cultural comparisons.

The paper finds that while the absolute level of family income had no significant effect on repayment behavior, US borrowers that perceived themselves as having a family income that was relatively lower than other US households repaid at higher rates. Therefore, evidence was found that trustworthiness might be a function of perceived relative wealth or social status rather than the absolute level of wealth or income.

The research results may be difficult to generalize because of the experimental approach and use of students as participants.

The paper includes implications for the administration of micro‐credit loans in China and other developing nations.

This paper experimentally tests a conjecture which appears to be the foundation of micro‐credit markets.

This study examines whether fintech lending further enhances or mitigates the gender-based differences in consumer loan performance in an emerging market. Using a proprietary dataset of over 5.5 million consumer loans offered by the fifth-largest bank in Turkey and its fintech subsidiary, the authors first document a significant gender gap in average loan performances. In line with the previous empirical findings, men are more likely to default on their debt. The average difference in loan performance is around 10 basis points, indicating a statistically and economically significant magnitude even after controlling for an exhaustive list of demographic and credit characteristics. Next, the authors show that the gender gap in loan performance is more pronounced in areas where women have more outside options in terms of social and economic opportunities. Specifically, the authors observe that gender-based differences are predominantly evident in cities with higher divorce rates, lower young and elderly dependence, smaller household sizes, and higher labor force participation of women. Since the child and elderly care duties disproportionately influence women’s ability to participate in economic life, their ability to find resources to pay their loans in a timely manner improves more in comparison to men in areas where women face fewer restrictions to seek local economic opportunities outside the household. Finally, the authors document that fintech loans partially mitigate the gender-based differences in consumer loan performance in those cities. This result suggests that the developments in financial technology can reduce the inefficiencies associated with human involvement in credit decisions, narrowing the gender gap in loan outcomes to the extent that these gaps are attributable to the supply-side factors that involve human judgment and biases.

The purpose of this study is to examine the effect of bank interventions on bond performance in relation to loan covenant violations.

This paper tests the following questions: do bondholders receive benefits from bank interventions? Is bond performance related to the probability of bank interventions? Is the turnover of a chief executive officer (CEO) associated with bank interventions and bond performance? Abnormal bond returns, the difference between bond returns and matched bond index returns are used to measure bond performance. An estimated outstanding loan balance is used to measure the probability of bank interventions. CEO turnover is identified from proxy statements and categorized into forced and voluntary CEO turnovers. Event studies and regression analysis were used to answer the above research questions.

This paper finds that both short-term and long-term bond returns increase after covenant violations, bond performance is positively related to the probability of bank interventions, forced CEO turnovers are positively associated with the probability of bank interventions and firms with forced CEO turnovers tend to have superior bond performance.

This paper is the first to explore the relation between bank interventions and bond performance.