scholarly journals Do Banks Pass through Credit Expansions to Consumers Who want to Borrow?*

2017 ◽  
Vol 133 (1) ◽  
pp. 129-190 ◽  
Author(s):  
Sumit Agarwal ◽  
Souphala Chomsisengphet ◽  
Neale Mahoney ◽  
Johannes Stroebel

Abstract We propose a new approach to studying the pass-through of credit expansion policies that focuses on frictions, such as asymmetric information, that arise in the interaction between banks and borrowers. We decompose the effect of changes in banks’ cost of funds on aggregate borrowing into the product of banks’ marginal propensity to lend (MPL) to borrowers and those borrowers’ marginal propensity to borrow (MPB), aggregated over all borrowers in the economy. We apply our framework by estimating heterogeneous MPBs and MPLs in the U.S. credit card market. Using panel data on 8.5 million credit cards and 743 credit limit regression discontinuities, we find that the MPB is declining in credit score, falling from 59% for consumers with FICO scores below 660 to essentially zero for consumers with FICO scores above 740. We use a simple model of optimal credit limits to show that a bank’s MPL depends on a small number of parameters that can be estimated using our credit limit discontinuities. For the lowest FICO score consumers, higher credit limits sharply reduce profits from lending, limiting banks’ optimal MPL to these consumers. The negative correlation between MPB and MPL reduces the impact of changes in banks’ cost of funds on aggregate household borrowing, and highlights the importance of frictions in bank-borrower interactions for understanding the pass-through of credit expansions.

2015 ◽  
Vol 16 (1) ◽  
pp. 50-70 ◽  
Author(s):  
Jakob Cakarnis ◽  
Steve Peter D'Alessandro

Purpose – This paper investigates the determinants of credit card use and misuse by student and young professionals. Critical to the research is the impact of materialism and knowledge on selection of the appropriate credit card. Design/methodology/approach – This study uses survey research and partial least squares to investigate credit card behaviors of students versus young professionals. Findings – In a comparative study of young professionals and students, it was found that consumer knowledge, as expected, leads to better consumer selection of credit cards. Materialism was also found to increase the motivation for more optimal consumer outcomes. For more experienced consumers, such as young professionals, it was found that despite them being more knowledgeable, they were more likely to select a credit card based on impulse. Originality/value – This paper examines how materialism may in fact encourage some consumers to make better decisions because they are more motivated to develop better knowledge. It also shows how better credit card selection may inhibit impulse purchasing.


2018 ◽  
Vol 36 (7) ◽  
pp. 1329-1346 ◽  
Author(s):  
Lei Huang ◽  
Julie Fitzpatrick

Purpose The purpose of this paper is to explore the impact of donation amount and framing on financial products, this research investigates consumers’ attitudes and behaviors toward cause-related credit cards with different donation sizes and framing types. Design/methodology/approach This research investigates consumers’ perceptions of green credit cards using two experiments with a between-subject design (n =297) and a mixed design (n =238), respectively. All the participants, recruited from a major state university in the USA, are undergraduate students who use credit cards. Findings A medium-size donation optimizes the outcome of a cause-related credit card offer. Moreover, a donation framed as cash rewards has stronger effects on a consumer’s perception and consequent reactions to the “green” credit cards than an annual percentage rate framing. Finally, consumers with high levels of environmental concern and propensity to volunteer have stronger intention to adopt and are more likely to recommend the proposed credit card. Originality/value Building upon the theories of social exchange and symbolic interaction, this research is the first to provide empirical evidence regarding the application of volunteerism and perceived consumer effectiveness for financial institutions and their cause-related marketing campaign partners in selecting suitable environmental causes.


2016 ◽  
Vol 8 (12) ◽  
pp. 95
Author(s):  
Omar A. Abdelrahman

This paper investigates the underlying determinants of consumer’s choices regarding switching credit-card balances. To estimate the likelihood that consumers switch credit cards, two logit models are estimated. Using data from the Consumer Finance Monthly (CFM) of The Ohio State University, the author finds that at the conventional 5 percent level of significance, the following variables have significance: old interest rate, new interest rate, duration of the introductory rate, balances, number of credit cards, homeownership, and age. As expected, interest rates, balances, the duration of new introductory offer rates, and homeownership have the greatest influence on why or why not people switch credit cards. The findings are consistent with the view that consumers make rational decisions in the credit card market, challenging Ausubel’s (1991) argument of credit card consumer irrationality and Calem and Mester’s (1995) empirical finding that credit card rates are sticky because consumers are irresponsive to rate cuts.


2021 ◽  
Vol 2021 (008) ◽  
pp. 1-55
Author(s):  
Akos Horvath ◽  
◽  
Benjamin Kay ◽  
Carlo Wix ◽  
◽  
...  

We use credit card data from the Federal Reserve Board's FR Y-14M reports to study the impact of the COVID-19 shock on the use and availability of consumer credit across borrower types from March through August 2020. We document an initial sharp decrease in credit card transactions and outstanding balances in March and April. While spending starts to recover by May, especially for risky borrowers, balances remain depressed overall. We find a strong negative impact of local pandemic severity on credit use, which becomes smaller over time, consistent with pandemic fatigue. Restrictive public health interventions also negatively affect credit use, but the pandemic itself is the main driver. We further document a large reduction in credit card originations, especially to risky borrowers. Consistent with a tightening of credit supply and a flight-to-safety response of banks, we find an increase in interest rates of newly issued credit cards to less creditworthy borrowers.


2017 ◽  
Vol 9 (1) ◽  
pp. 277-307 ◽  
Author(s):  
Enrique Seira ◽  
Alan Elizondo ◽  
Eduardo Laguna-Müggenburg

Consumer protection in financial markets in the form of information disclosure is high on government agendas, even though there is little evidence of its effectiveness. We implement a randomized control trial in the credit card market for a large population of indebted cardholders and measure the impact of Truth-in-Lending-Act-type disclosures, de-biasing warning messages and social comparison information on default, indebtedness, account closings, and credit scores. We conduct extensive external validity exercises in several banks, with different disclosures, and with actual policy mandates. We find that providing salient interest rate disclosures had no effects, while comparisons and de-biasing messages had only modest effects at best. (JEL D14, D83, G21, G28, O16)


2003 ◽  
Vol 93 (5) ◽  
pp. 1703-1729 ◽  
Author(s):  
Christopher R Knittel ◽  
Victor Stango

We test whether a nonbinding price ceiling may serve as a focal point for tacit collusion, using data from the credit card market during the 1980’s. Our empirical model can distinguish instances when firms match a binding ceiling from instances when firms tacitly collude at a nonbinding ceiling. The results suggest that tacit collusion at nonbinding state-level ceilings was prevalent during the early 1980’s, but that national integration of the market reduced the sustainability of tacit collusion by the end of the decade. The results highlight a perverse effect of price regulation.


2020 ◽  
Vol 5 (1) ◽  
pp. 53
Author(s):  
Amanj Mohamed Ahmed

Credit card is a payment tool in the modern world and it is being called the plastic money. In Iraq and especially in Kurdistan region, the credit card utilization now is appealing to be more attractive. To address this issue, the present study sheds some light on the impact of credit cards on the consumer behavior and the benefits of credit cards for people of Kurdistan, Iraq. The data were obtained from 40 participants consisting of academicians in the related field, managers of banks, and credit card users by means of questionnaires. A range of variables that agreed to demographic information, such as level of education, gender, and income, were also considered. Drawing on chi-square and modeling analysis, the results portrayed a positive relationship between the costumer information and their behavior in using credit cards. The results of this study further suggest that since people in Kurdistan region of Iraq would like to apply credit cards in all aspects of life, the financial institutions should provide accessible information and valuable services. All in all, from this study it is implied that the “plastic money” makes a revolution in banking industry across the world and nowadays electronic banking becomes familiar to the world.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Yusnidah Binti Ibrahim ◽  
Jaka Sriyana

Purpose The credit card market is very large and segmented by targeting different types of consumers. One type of credit card is one that specifically targets people in the education sector, for instance, students, teachers and other staff members. This study aims to compare the features of education and other credit cards in Malaysia. Design/methodology/approach The study analyzes data concerning 234 credit cards by using descriptive statistics and a one-way analysis of variance test. Findings Out of 234 credit cards, this study found only two credit cards especially target education sector customers. The study evaluated 13 features of these credit cards and found that only 2 features are statistically significantly different from other conventional credit cards in Malaysia. These features are interest rate and cash withdrawal charge fees. Originality/value This is an original study based on the compilation of data from secondary sources. The findings will provide valuable insights to financial regulatory policymakers, academics and business managers.


Author(s):  
Kuah Yoke Chin ◽  
Wei Chooi Yi ◽  
Chin Lai Kwan ◽  
Chia Mei Si

The credit card market has witnessed tremendous growth resulting from a paradigm shift in technology. The genuine usage of credit cards as a form of convenience has diverged to overspending, irresponsibility, revolving liability and bankruptcy. This implies that possession of credit cards has brought about a change in users’ repayment behavior. Thus, this study aims to determine academicians’ credit card repayment pattern in a private tertiary institution in Malaysia. The dependent variable is the repayment pattern and the independent variables that serve as the attributes include personal attitude and spending pattern, while, gender and parenthood serve as the moderating variables. Findings revealed that personal attitude and spending pattern were important attributes in determining the repayment pattern among the academicians. Gender and parenthood were found to play a moderating role in the repayment pattern. Findings from this study is expected to facilitate the government and credit card companies to work towards nurturing a financially healthier and informed society, and also to  each out positively to the younger generations through the influence of the academicians.  


In the banking sector, every banking infrastructure contains an enormous dataset for customers’ credit card approval which requires customer profiling. The customer profiling means collection of data related to what customers need. It depends on customers’ basic information like field of work, address proof, credit score, salary details, etc. This process mainly concentrates on predicting approval of credit cards to customers using machine learning. Machine Learning is the scientific study of algorithms and statistical models that computers use to perform specific tasks without any external instructions or interference. In the current trend this process is possible using many algorithms like “K-Mean, Improved K-Mean and Fuzzy C-Means”. This helps banks to have an high profitability to satisfy their customers. However, the currently prevailing system shows an accuracy percentage of about 98.08%. The proposed system aims at improvising the accuracy ratio while using only few algorithms.


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