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This paper derives a model for the profitability of credit cards, which allow lenders to find the optimal dynamic credit limit policy. The model is a Markov decision process, where the states of the system are based on the borrower's behavioural score and the decisions are what credit limit to give the borrower each period. In determining the Markov chain(More)
In order to stimulate or subdue the economy, banking regulators have sought to impose caps or floors on individual bank’s lending to certain types of borrowers. This paper shows that the resultant decision problem for a bank of which potential borrower to accept is a variant of the marriage/secretary problem where one can accept several applicants. The(More)
– In this paper, the author proposed a data collaborative work flow model with the support of web services. Nowadays, many E-Commerce businesses are relying on the data transmitted between businesses or their customers. In order to get the best value of data, the way of processing data is critical. So the author proposed a data collaborative work flow model(More)
In this paper, we develop a semi-supervised regression algorithm to analyze data sets which contain both categorical and numerical attributes. This algorithm partitions the data sets into several clusters and at the same time fits a multivariate regression model to each cluster. This framework allows one to incorporate both multivariate regression models(More)
One approach to modelling Loss Given Default (LGD), the percentage of the defaulted amount of a loan that a lender will eventually lose is to model the collections process. This is particularly relevant for unsecured consumer loans where LGD depends both on a defaulter’s ability and willingness to repay and the lender’s collection strategy. When repaying(More)
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