Consumer Credit Research Articles

Consumer Credit Without Collateral, Regulation, or Intermediaries

Consumer Credit Without Collateral, Regulation, or Intermediaries

Household Financial Resilience and Consumer Credit: Evidence From the WAS 2010–2016

Household Financial Resilience and Consumer Credit: Evidence From the WAS 2010–2016

Reducing Racial Disparities in Consumer Credit: Evidence from Anonymous Loan Applications

Reducing Racial Disparities in Consumer Credit: Evidence from Anonymous Loan Applications

Interaktion zwischen Antidiskriminierungs- und Zivilrecht in Bulgarien

Following its accession to the EU in 2007, Bulgaria amended its Law for Protection against Discrimination (originally adopted in 2003) to implement the relevant part of the acquis communautaire. The law takes account for indirect and direct discrimination and has a strong impact on private law. Victims of discriminatory practices can choose between administrative and private law remedies, but only private law remedies provide for compensation for damages (including for moral injury). There is some case law relating to consumer credits where customers have sued banks for age discrimination. The law contains specific guarantees against discrimination in working life. In addition, the Constitutional Court examined a case concerning the constitutionality of provisions prohibiting access to public office for persons formerly working for the state security services.

Manual Control of the Consumer Credit Litigation? Case Note on MB and Others (C-6/22) and AxFina Hungary (C-705/21)

Manual Control of the Consumer Credit Litigation? Case Note on MB and Others (C-6/22) and AxFina Hungary (C-705/21)

Unraveling Information Sharing in Consumer Credit Markets

Unraveling Information Sharing in Consumer Credit Markets

Algorithmic Fairness in Consumer Credit Underwriting: Towards a 'Harm-Based' Framework for AI Fair Lending

Algorithmic Fairness in Consumer Credit Underwriting: Towards a 'Harm-Based' Framework for AI Fair Lending

An explainable machine learning model for consumer credit scoring in Mexico

An explainable machine learning model for consumer credit scoring in Mexico

Consumer credit evaluation of mobile e-commerce platform based on random forest

Consumer credit evaluation of mobile e-commerce platform based on random forest

Consumer credit evaluation of mobile e-commerce platform based on random forest

Consumer credit evaluation of mobile e-commerce platform based on random forest

РИСКИ В АВТОКРЕДИТОВАНИИ

Car loans are a common type of consumer credit, have fundamental distinguishing features from other types of lending, and are an example of a complex interaction between a bank, a car dealership, a client and insurance companies. The article reveals the essence of risks in car loans, analyzes statistics on the reasons for non-repayment of consumer credit among individuals. Based on the results of the study, proposals to reduce the probability of non-repayment of car loans are substantiated and possible positive and negative consequences of the introduction of the proposed measures are considered.

Research on the impact of consumer credit on economic growth in Guangxi

Research on the impact of consumer credit on economic growth in Guangxi

The Impact of Hospital Closures on Medical Debt in Collections: Analysis Using Consumer Credit Bureau Data

The Impact of Hospital Closures on Medical Debt in Collections: Analysis Using Consumer Credit Bureau Data

The Equilibrium Effect of Information in Consumer Credit Markets: Public Records and Credit

The Equilibrium Effect of Information in Consumer Credit Markets: Public Records and Credit

The Equilibrium Effect of Information in Consumer Credit Markets: Public Records and Credit

The Equilibrium Effect of Information in Consumer Credit Markets: Public Records and Credit

European Union Cost Caps: One Step Forward Two Steps Sideways to Substantive Harmonisation of Consumer Credit Law

European Union Cost Caps: One Step Forward Two Steps Sideways to Substantive Harmonisation of Consumer Credit Law

The performance of third-party funds, consumption credit and profitability

<span lang="EN-US">Banks are financial institutions that can collect and distribute funds directly to the public for profit. In carrying out these functions and objectives, the bank has a strategy of raising funds and distributing credit. The purpose of this study was to determine the effect of Third-Party Fund Performance, and Consumption Credit on Profitability. The research method used is descriptive and verification methods with a quantitative approach with a sample of 28 units of secondary data. The data analysis technique used is multiple linear regression. The results of the research analysis show that partially Third-Party Funds have no significant effect on Return on Assets (ROA); Cost of Funds has a significant effect on ROA and Consumption Credit has no significant effect on ROA. Simultaneously Third-Party Funds, Cost of Funds, and Consumption Credit have a significant effect on ROA.</span>

Investigating the associations of consumer financial knowledge and financial behaviors of credit card use

The growing economic uncertainty makes consumers realize the importance of financial preparedness and management ability. Based on the U.S. National Financial Capability Study dataset from 2009, 2012, 2015, and 2018, this study explores the nexus between consumer financial knowledge and financial behaviors of credit card use. The results indicate that financial knowledge positively affects consumer credit card ownership and desirable financial behaviors of credit card use, and is negatively related to undesirable credit card behaviors. The results are robust to different regression methods and after removing income outliers. The heterogeneity test shows that financial knowledge cannot enhance desirable credit card behaviors because of the income limitations in the low-income group. Therefore, there are implications for policymakers, financial sectors, and consumers to improve consumers' usage of credit cards and cultivate proper consumption habits by enhancing consumer financial knowledge.

Loan Default Prediction Based on Convolutional Neural Network and LightGBM

With the change of people's consumption mode, credit consumption has gradually become a new consumption trend. Frequent loan defaults give default prediction more and more attention. This paper proposes a new comprehensive prediction method of loan default. This method combines convolutional neural network and LightGBM algorithm to establish a prediction model. Firstly, the excellent feature extraction ability of convolutional neural network is used to extract features from the original loan data and generate a new feature matrix. Secondly, the new feature matrix is used as input data, and the parameters of LightGBM algorithm are adjusted through grid search so as to build the LightGBM model. Finally, the LightGBM model is trained based on the new feature matrix, and the CNN-LightGBM loan default prediction model is obtained. To verify the effectiveness and superiority of our model, a series of experiments were conducted to compare the proposed prediction model with four classical models. The results show that CNN-LightGBM model is superior to other models in all evaluation indexes.

Совершенствование деятельности коллекторов как элемент защиты прав заёмщиков

The relevance of the study is due to the rapid development of the consumer lending market. The important socio-economic significance of consumer lending is undeniable, since it contributes to an increase in the standard of living of the population, increases the demand for consumer goods, thereby stimulating their production and trade. However, this process is inevitably accompanied by an increase in arrears on consumer loans.
 In this regard, the issues of the activities of collectors need to be considered (both from scientific, legal and practical positions).
 Based on the hypothesis that the relationship for issuing a consumer loan (loan) continues until the repayment of financial obligations (i.e., their termination), the article analyzes the criminal law protection under Art. 1715 of the Criminal Code of the Russian Federation of the rights and legitimate interests of borrowers. The main attention is focused on the analysis of the legal activities of collectors and the prevention of relevant possible offenses on their part. Possible options for establishing criminal liability for excess of authority in the implementation of activities to return overdue debts by collectors are being explored. The factors justifying the establishment of criminal liability for illegal actions in the implementation of activities to return overdue debts are given. The conclusion is substantiated that the legal relations associated with the return of overdue debts on consumer credit (loan) are currently outside of the criminal law protection of Art. 1715 of the Criminal Code of the Russian Federation. This fact does not allow to fully ensure the protection of the rights and legitimate interests of borrowers.