Ethical Issues in Credit Card Solicitation of College Students – The Responsibilities of Credit Card Issuers,Higher Education,and Students

Credit card companies aggressively solicit college students, without regardfor the consequences of high credit car debt for these customers. Theethical conflict of the sale of easy credit to college students too oftenresults in hazardous outcomes akin to the solicitation of youth by cigarettecompanies. This paper will investigate the dangers that credit card use presents to theyoung customer, the unethical manner in which the companies that issue these cards promote their products to this audience, and the role of institutions of higher education. A majority of students are not only using credit unwisely (average balances of over $1000 regardless of who reports the data) but are payingexorbitant interest (18%–22%). The credit card companies call this``responsible' use. They are collecting enough interest and fees to morethan cover losses resulting from bankruptcy. They use a variety ofmarketing techniques to lure college students – glitzy `MTV' type shows,free prizes and gifts, special interest rate offers, and now they can pretendthrough `educational services' to explain to college students why credit cards are important.This paper investigates the ethical considerations of credit card solicitationof college students as a result of research into factors that influence thenumber of credit cards held by these students. Current solicitation policiesof colleges and universities are also presented.     

The cost of being late? The case of credit card penalty fees

This paper is the first in the literature to examine the determinants of US credit card penalty fees. Many critics of credit card fees – including a number of US Senators – have argued that credit card penalty fees reflect banks’ market share. Using a unique data set we find that fees are increasing in customer risk which supports the position of defenders of penalty fees, such as banks. However, our finding that fees are increasing in a bank's market share is consistent with the concerns expressed by politicians and regulators. We also find card penalty fees are direct substitutes for card interest rates.     

Disciplinary sanctions in English Premiership Football: Is there a racial dimension?

This paper assesses the evidence for a racial difference in both the dispensation of formal disciplinary sanctions and in the number of fouls called by referees in professional football. The study uses a unique dataset comprising player match-level information drawn from five recent seasons of the English Premiership. These data were merged with data from other sources to identify, among other things, the racial affiliation of the player across four separate categories (viz., white, black, mixed race, and Asian). No systematic evidence of an unfair treatment of players from the non-white minority groups in respect of either the receipt of disciplinary cards or in the number of penalised fouls called by referees was detected.     

Loss given default models incorporating macroeconomic variables for credit cards

Based on UK data for major retail credit cards, we build several models of Loss Given Default based on account level data, including Tobit, a decision tree model, a Beta and fractional logit transformation. We find that Ordinary Least Squares models with macroeconomic variables perform best for forecasting Loss Given Default at the account and portfolio levels on independent hold-out data sets. The inclusion of macroeconomic conditions in the model is important, since it provides a means to model Loss Given Default in downturn conditions, as required by Basel II, and enables stress testing. We find that bank interest rates and the unemployment level significantly affect LGD.     

Determinants of Mortgage Default and Consumer Credit Use: The Effects of Foreclosure Laws and Foreclosure Delays

The mortgage default decision is part of a complex household credit management problem. We examine how factors affecting mortgage default spill over to other credit markets. As home equity turns negative, homeowners default on mortgages and home equity lines of credit at higher rates, whereas they prioritize repaying credit cards and auto loans. Larger unused credit card limits intensify the preservation of credit cards over housing debt. Although mortgage nonrecourse statutes increase default on all types of housing debt, they reduce credit card defaults. Foreclosure delays increase default rates for housing and nonhousing debts. Our analysis highlights the interconnectedness of debt repayment decisions.     

Is the cardholder an efficient alarm system to detect credit card incidents?

There is a growing tendency in credit card industry to increase the contribution of the smallest players, the cardholders, in the detection of card incidents. This article examines whether cardholders are efficient at detecting/communicating incidents of theft, loss or fraudulent use of their cards. The analysis focuses on whether they demonstrate enough speed of response to support a risk control subsystem by the issuer. The research follows a completely new approach showing how the issue can be handled by applying the concept of elasticity, a notion just recently exported from economics to the field of statistics by linking it with the reverse hazard rate. The issue is focused on the analysis of the characteristics of the elasticity function of the random variable that measures the delay of cardholders in reporting incidents. This study is illustrated with an application to a real data set of 1069 incidents.     

Is a $200 Nordstrom Gift Card Worth More or Less Than a $200 Gap Gift Card? The Asymmetric Valuations of Luxury Gift Cards

Gift cards account for a $200 billion market in the US, yet little is known about consumers’ preferences and valuations of different gift cards. We examine how average US consumers feel about exchanging luxury brand gift cards (LGCs) versus non-luxury brand gift cards (NLGCs). Using secondary data analyses, surveys, and experiments, we demonstrate two asymmetries: between valuations of LGCs versus NLGCs and between valuations of gift cards by givers versus recipients. We show that LGCs are valued less than NLGCs with identical price tags. LGCs are more likely to be swapped or sold. Resellers demand and buyers pay lower prices for LGCs. These effects are mediated by the perceived utility of the gift cards as gifts and moderated by a person’s role in the gifting process. Gift givers value and prefer to give LGCs more, whereas recipients prefer and value NLGCs more.     

What does the future hold for giving? An approach using the social representations of Generation Y

• Nowadays, not‐for‐profit organizations and charities face the ageing of donors and a growing debate over monetary donation collection methods. They need to find solutions to attract younger generations of donors. Could this be done using the same methods applied to older generations? This present research investigates social representations (SRs) of giving by younger generations to understand how not‐for‐profit organizations and charities should approach them. The study focuses on SRs of a French sample of 276 individuals from Generation Y born between 1979 and 1991. It uses the free association technique. The results show paradoxical representations of giving. Institutionalization of giving is salient as representation of it as a freely consenting act. The paradox relies also in the strong presence of a relationship with others that parallels the gift as an individualistic choice.
• Generation Y individuals appear to be sociable, yet they evoke more sharing and solidarity than charity. Institutionalized forms of giving, particularly via charities and not‐for‐profit organizations, are rejected. These individuals seem to express their individuality through practices that resemble sharing rather than giving. From a managerial point of view, these results shed light on the factors liable to cause members of this generation to give, such as (i) the use of social networks, (ii) appealing to pleasure, festivities and efficiency rather than to guilt and duty, and (iii) encouragement to “work within the not‐for‐profit organization”.

Copyright © 2012 John Wiley & Sons, Ltd.     

Impact of International Networks on Standardization Process in Banking Industry： Example of Secure Electronic Transaction （SET） Initiative

The purpose of this article is to present and interpret the case study of the secure electronic transaction （SET） scheme of Internet security, as an illustration of the necessary construction of interoperability solutions for financial services. The interpretation of case data with actor network theory （ANT） provides an illustration of power coalitions among banks to create a de facto standard for transnational electronic payment security on the Internet. After a step of protecting its political interests and well-known technological solutions, the coalition understands that its mission becomes a matter of life and death for its members： Brand-new currency has been invented on the Web and one could develop business and monetary transactions without the banks. This interpretative stage tells us much about the transnational mechanisms of regulation and standardization as well as the ＂translation＂ steps regarding these transnational organizations. However, an additional step has to be added to this interpretative step, a step of framework construction. The aim is to help managers of the transnational firms involved in regulations and standardization to anticipate the evolutions and make relevant decisions. The framework has three distinctive characteristics： the ability to help conception, the ability to help conceive problems ＂ex ante＂, and the ability to facilitate collective conception of strategic maneuvers.     

A mixture model for credit card exposure at default using the GAMLSS framework

The Basel II and III Accords propose estimating the credit conversion factor (CCF) to model exposure at default (EAD) for credit cards and other forms of revolving credit. Alternatively, recent work has suggested it may be beneficial to predict the EAD directly, i.e.modelling the balance as a function of a series of risk drivers. In this paper, we propose a novel approach combining two ideas proposed in the literature and test its effectiveness using a large dataset of credit card defaults not previously used in the EAD literature. We predict EAD by fitting a regression model using the generalised additive model for location, scale, and shape (GAMLSS) framework. We conjecture that the EAD level and risk drivers of its mean and dispersion parameters could substantially differ between the debtors who hit the credit limit (i.e.“maxed out” their cards) prior to default and those who did not, and thus implement a mixture model conditioning on these two respective scenarios. In addition to identifying the most significant explanatory variables for each model component, our analysis suggests that predictive accuracy is improved, both by using GAMLSS (and its ability to incorporate non-linear effects) as well as by introducing the mixture component.