The goal of the paper is to present the framework for combining clustering and classification for churn management in … approach to churn management using clustering and classification, which was tested on the churn dataset with a rich variable …

This paper investigates the clustering or dependency of extremes in financial returns by estimating the extremal index … value, in which smaller values of the extremal index correspond to more clustering. We apply the interval estimator method … results show that clustering occurs in the emerging and developed markets under several threshold values. This study will shed …

, monetary model for engineering features that quantify investor behaviours, and unsupervised machine learning clustering …

firms in the period before and after the 2008 crisis within two different economies, i.e., Germany and the Czech Republic … the period before and after the 2008 crisis. The different development of the share of zombie firms after the great … financial crisis between Germany and the Czech Republic was proven as statistically significant. The findings confirm Germany is …

implications for financial stability. Moreover, this phenomenon may be even more pronounced in times of crisis. Although herding is …

The COVID-19 crisis was remarkable because no global recession model could predict or provide early notice of when the … likely to be financially affected during the peak of the COVID-19 crisis, but the effect of investment skills is weakly …