Credit Card Fraud Detection using Supervised and Unsupervised Learning

In the present monetary situation, credit card use has gotten normal. These cards allow the user to make payments online and even in person. Online payments are very convenient, but it comes with its own risk of fraud. With the expanding number of credit card users, frauds are also expanding at the same rate. Some machine learning algorithms can be applied to tackle this problem. In this paper an evaluation of supervised and unsupervised machine learning algorithms has been presented for credit card fraud detection.

The determinant of behavioral factors which influence on credit card usages

The purpose of this paper is to examine which behavior factor effect on credit card use. Among different behavior factors, which factor more positively and significantly influence credit card use? The data are collected from individuals who have a credit card through the Lahore questionnaire. The finding shows a strong influence of behavior factor on credit card uses especially perceived usefulness. And perceived risk has a positive impact on credit card use. The study is limited to only the service sector as a credit card. Convinces sampling technique is used. For further research, influence on customer or client income also takes into consideration. This research is no precious in Pakistan's credit card, which studies behavior influences credit card use.

Financial Knowledge, Confidence, Credit Use, and Financial Satisfaction

This article investigates associations between confidence about financial knowledge and two outcome variables, financial behaviors and financial satisfaction. On one hand, subjective financial knowledge (confidence) is necessary to make proactive decisions, yet overconfidence has been associated with a range of negative financial behaviors and outcomes. Both types of objective and subjective knowledge may be related to critical financial behaviors and choices such as credit card usage which in turn may be associated with financial satisfaction, an important component of consumer well-being. This article analyzes data from the 2015 National Financial Capability Study to examine how financial knowledge confidence relates to credit card behaviors and financial satisfaction. We use mediation and floodlight analyses to uncover relevant relationships between variables of interest. We find evidence that confidence is associated with healthy credit card use that contributes to financial satisfaction. We also observe strong interactions with knowledge to find that confidence is more strongly associated with credit card use and overall financial satisfaction as knowledge increases. Findings from this study can help financial educators and advisors to deliver the right mix of financial knowledge to better financial choices and behaviors.

Risk Tolerance and the Financial Satisfaction of Credit Card Users

This study tests whether risk tolerance mitigates the effects of credit card mismanagement on users' financial satisfaction. We used data from the Health and Retirement Study and found results showing that credit card mismanagement reduces the financial satisfaction of lower-risk-tolerance users only. The results also suggest that the psychic costs of credit card mismanagement (i.e., stress and anxiety), not the monetary costs (fees and higher interest rates), may be the biggest contributors to the dissatisfaction associated with credit card use.

Determinants of credit card spending and debt of Chinese consumers

PurposeThe rapid growth of credit card use in China poses the potential for card overuse and the accumulation of increased debt. The purpose of this paper is to report on an investigation into the determinants of overall credit card spending and card-financed debt by Chinese consumers.Design/methodology/approachThis study focusses on two dependent variables: credit card monthly spending and card debt. The spending measure is based on consumer outlay for the month preceding the survey. Card debt is the consumers’ outstanding credit card debt when the survey was conducted. Three groups of independent measures are used: socio-demographic characteristics, card features and consumer attitude towards money. Both card spending and card debt are estimated with OLS methods. Data was obtained from the 2013 China Household Finance Survey of 1,920 households in 29 provinces and 262 counties across China that used credit cards over the survey period.FindingsThe empirical findings suggest consumers’ attitude towards money is more important in explaining card spending and debt variation than socio-demographic characteristics and card features. The credit limit set for a card, obligations to other loans and the method of paying for ordinary shopping exhibit positive effects on both card spending and card debt, while age exhibits a negative effect. Further, card spending is positively correlated with card debts, but the factors that determine card spending do not necessarily affect card debt and vice versa. Minimum card debt payments, cash advances, card tenure and interest-bearing debt have no effect on card spending but have positive effects on card debt. In addition, gender and income have opposite effects on card spending and debt.Practical implicationsThe relationships we have documented suggest several actions the Chinese Government could consider dealing with credit card debt risk. Controlling the aggressive promotional campaigns that card issuers use to attract consumers and aggressive credit policies should be a focus of attention. The Chinese Government might, for example, impose minimum age and income requirements for granting credit cards and prohibit issuance of new cards to applicants who are already in debt with other types of credit. In addition, more stringent criteria to curb increases in card limits and tighter control over cash advances made on cards should be applied. Minimum payment amounts can also be increased in order to reduce credit card debt risk.Originality/valueDespite ample documentation of consumers’ credit card behaviour, the literature is deficient in at least two areas of enquiry. First, most previous research has investigated either credit card spending behaviour or card debt, but not both. Second, with few exceptions, most research has investigated a range of specific factors that affect credit card use. In contrast, this study investigates card spending as well as card debt behaviour using a wide variety of consumer dimensions particularly relevant to credit card use and resulting debt. In addition, this study focusses on Chinese consumers, who traditionally prefer to save first and delay spending. The impact of the rapid growth of credit card use on this traditional Chinese orientation towards spending is dynamic. Documenting the influence of the individual factors examined in this study is likely to be of value to both policy makers and institutions that offer and manage credit in this changing environment.