In this challenging and innovative article, we propose a framework for the consumer behavior named "consumer financial spinning". It occurs when borrowers-consumers of products with high financial stakes accumulate unsustainable debt and disconnect from their initial financial hierarchy of...

In recent years, machine learning research has gained momentum: New developments in the field of deep learning allow for multiple levels of abstraction and are starting to supersede well-known and powerful tree-based techniques mainly operating on the original feature space. All these methods...

The paper focuses on the conditions of the use of the nearest neighbors method analysing the impact of the Euclidean distance and in sample predictions, the choice of the neighbors, the number of neighbors and the distance between the neighbors.

In recent years, machine learning research has gained momentum: New developments in the field of deep learning allow for multiple levels of abstraction and are starting to supersede well-known and powerful tree-based techniques mainly operating on the original feature space. All these methods...

In this challenging and innovative article, we propose a framework for the consumer behavior named "consumer financial spinning". It occurs when borrowers-consumers of products with high financial stakes accumulate unsustainable debt and disconnect from their initial financial hierarchy of...