Risk management is one of the most important branches of business and finance. Classification models are the most popular and widely used analytical group of data mining approaches that can greatly help financial decision makers and managers to tackle credit risk problems. However, the...

This paper proposes and examines a new structural risk of default model for banks in frictional and fuzzy financial markets. It is motivated by the need to fill the shortcomings of probability-based credit risk metric models that are characterised by unrealistic assumptions such as crisply...

“The model is wrong!” so it is determined. All of the estimated output using the model becomes un-reliable immediately. And so is every other result calculated using the un-reliable output. So what is the impact of the model being “wrong” in the later calculations? To address this...