In two studies, time preferences for financial gains and losses at delays of up to 50 years were elicited using three different methods: matching, fixed-sequence choice titration, and a dynamic “staircase” choice method. Matching was found to create fewer demand characteristics and to produce better fits with the hyperbolic model of discounting. The choice-based measures better predicted real-w...

Financial innovations are a common explanation for the rise in credit card debt and bankruptcies. To evaluate this story, we develop a simple model that incorporates two key frictions: asymmetric information about borrowers’ risk of default and a fixed cost of developing each contract lenders offer. Innovations that ameliorate asymmetric information or reduce this fixed cost have large extensiv...

The objective of this paper is to identify credit card fraud and topic can be solved with the help advanced machine learning deep techniques. Due fact that a serious worldwide problem, we have chosen create model for detecting im-poster scams by using neural networks. purpose understand, determine learn normal behavior user more precisely detection identity fraud. Each person has trading patter...