The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is...

Data Mining represents a Business Intelligence (BI) methodology which provides an insight into the 'hidden' information about its operations thus improving the process of making strategic business decisions based on a clear and understandable interpretation of existing results. Data mining can...

Die EU setzt für ihre Versorgung mit sogenannten kritischen Rohstoffen auf eine Verstärkung der Kooperation mit gleichgesinnten Staaten. Als "perfect match" sieht EU-Kommissionspräsidentin von der Leyen in diesem Zusammenhang Kanada an, ein rohstoffreicher und verlässlicher Partner, der die...

The European Union (EU) is aiming to strengthen its cooperation with like-minded countries to secure its supply of so-called critical raw materials. European Commission President Ursula von der Leyen considers Canada a "perfect match" - a resource-rich and reliable partner that shares the EU's...

When evaluating the significance of calendar effects, such as those associated with Monday and January, it is necessary to control for all possible calendar effects to avoid spurious results. The downside of having to control for a large number of possible calendar effects is that it diminish...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

Credit risk evaluation or loan default risk evaluation is important to financial institutions which provide loans to businesses and individuals. Credit and loans have risk of being defaulted. To understand risk levels of credit users (corporations and individuals), credit providers (bankers)...

Ever-growing data availability combined with rapid progress in analytics has laid the foundation for the emergence of business process analytics. Organizations strive to leverage predictive process analytics to obtain insights. However, current implementations are designed to deal with...