Mining industry is the basic industry of the national economy. However, in recent years,
listed mining companies have suffered serious financial risks due to special reasons such as …

This paper examines how efficiency dynamics of Islamic and conventional banks compare
and how they are converging across different countries. We employ both parametric and non …

International organizations such as OECD, WBG, IMF, UN and EU, as well as research
studies, have highlighted the increasing contribution being made by microcredit finance …

Research background: The issue of predicting the financial situation of companies is a
relatively young field of economic research. Its origin dates back to the 30's of the 20th …

Resumen SYED NOR, Sharifah Heryati; ISMAIL, Shafinar y YAP, Bee Wah. Personal
bankruptcy prediction using decision tree model. Journal of Economics, Finance and …

Financial institutions use credit scorecards for risk management. A scorecard is a data-
driven model for predicting default probabilities. Scorecard assessment concentrates on …

This paper examines the usefulness of logit regression in forecasting the consumer
bankruptcy of households using an imbalanced dataset. The research on consumer …

Construction companies are very dependent on the projects carried out by a company.
Therefore, measuring whether a company is distressed or non-distressed can be done by …

Decision tree algorithm is an important classification method in data mining techniques. A
decision tree creates classification and regression models like a tree that has a root node …

Regular water management is crucial for the cultivation of tomato (Solanum lycopersicum
L.). Inadequate irrigation leads to water stress and a reduction in tomato yield and quality …