A number of innovations have been introduced in the last five years to counter the
devastating impact of credit rationing in Europe, particularly from traditional bank lending …

(57) ABSTRACT A system for analyzing risk using machine learning models may be trained
using a data set to generate a risk assessment model that is optimized for metrics commonly …

Risk models developed on one dataset are often applied to new data and, in such cases, it
is prudent to check that the model is suitable for the new data. An important application is in …

Sažetak The assessment of retailers' credit risk is a complex task in which financial risks
enable different behaviour mechanisms and this adds to the complexity of the problem. The …

Distribution companies face some issues in their business transactions one important issue
is called credit risk and this arises when some retailers, after receiving goods, are not able to …

The problem is in the United States, credit scores can be quite inaccurate, which can lead to
small businesses lacking the necessary knowledge about business credit. This lack of …

It is generally easier to predict defaults accurately if a large data set (including defaults) is
available for estimating the prediction model. This puts not only small banks, which tend to …

The risk of going bankrupt is of significant interest to shareholders, creditors, employees of a
firm and lenders. Following the financial crisis and the spate of corporate bankruptcies in …

A number of innovations have been introduced in the last five years to counter the
devastating impact of credit rationing in Europe, particularly from traditional bank lending …

The trend to grow larger and expand a business has been around since businesses were
created. Now Phresh Pharm Products is looking to expand from one location to a second …