Fraud is the unlawful acquisition of valuable assets gained via intended misrepresentation. It a crime committed by either an internal/external user, and associated with acts theft, embezzlement, larceny. The proliferation credit cards to aid financial inclusiveness has its usefulness alongside it attracting malicious attacks for gains. Attempts classify fraudulent card transactions have yielde...

In this paper, we investigate whether and how personal bankruptcy law a ects small rms' access to credit. When a rm is unincorporated, its debts are personal liabilities of the rm's owner, so that lending to the rm is equivalent to lending to its owner. If the rm fails, the owner has an incentive to le for personal bankruptcy in order to obtain discharge of the rm's debts. While bankruptcy law ...

Cashless transactions such as online transactions, credit card transactions, and mobile wallet are becoming more and more popular in financial transactions nowadays. With increased number of such cashless transaction, fraudulent transactions are also increasing. Fraud can be detected by analyzing spending behavior of customers (users) from previous transaction data. If any deviation is noticed ...

Data mining and cloud computing are two major trends in the recent information technology development. Data mining is a process to get actionable information and cloud computing provides software services via the Internet. One of the techniques which has been widely used in data mining for classification tasks is the nearest neighbor algorithm or NN algorithm. The NN algorithm is a method to cl...

This paper provides an economic assessment of export credit guarantee commitments by the Austrian export credit agency, using firm-level data on a cross-section of 178 Austrian exporting firms for the year 2008. In a first step, we estimate the relative importance of various determinants of export guarantee usage. Results suggest that the most crucial determinants are: firm size, whether or not...

Credit scoring systems are currently in common use by numerous financial institutions worldwide. However, credit scoring with the microfinance industry is a relatively recent application, and no model which employs a non-parametric statistical technique has yet, to the best of our knowledge, been published. This lack is surprising since the implementation of credit scoring should contribute tow...