For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …

Bankruptcy prediction is a topic, which affect the economic well being of all countries.
Having an accurate company default prediction model, which can pick up on time the signs …

Two parameters, C and σ, must be carefully predetermined in establishing an efficient
support vector machine (SVM) model. Therefore, the purpose of this study is to develop a …

In the design of a financial bankruptcy prediction model, financial ratio selection and
classifier design play major roles. Methodology based on expert opinion, statistical theory …

In 2008, financial tsunami started to impair the economic development of many countries,
including Taiwan. The prediction of financial crisis turns to be much more important and …

During the last years, hybrid models have proven to be a promising approach for the design
of classification systems for the forecasting of bankruptcy. In the present research we …

Clustering ensembles combine multiple partitions of the given data into a single clustering
solution of better quality. Inspired by the success of supervised boosting algorithms, we …

Over the last years, it has been observed an increasing interest of the finance and business
communities in any application tool related to the prediction of credit and bankruptcy risk …

We analyze the operations and performance of insurance companies that left the insurance
market from 2006 to 2013. Using a large European sample (2060 insurers from 16 countries …

While the origins of genetic programming (GP) stretch back over 50 years, the field of GP
was invigorated by John Koza's popularisation of the methodology in the 1990s. A particular …