Purpose: Nowadays, the field of data analytics is witnessing an unprecedented interest from a variety of stakeholders. The purpose of this paper is to contribute to the subfield of predictive analytics by proposing a new non-parametric classifier. Design/methodology/approach: The proposed new...

It is believed that financial markets are integrated and sensitive to news – including political conflicts in some regions of the world. Furthermore, financial markets seem to react differently to information flows from one region to another. The purpose of this research is to discern the...

The aim of this paper is to provide empirical evidence on the statistical distributions of returns on 32 UK sector indices as well as the FTSE-All and the FTSE-100 indices. These data are modelled for several holding periods, ranging from one day to one quarter, using symmetric stable Paretian...

Forecasts of crude oil prices' volatility are important inputs to many decision making processes in application areas such as macroeconomic policy making, risk management, options pricing, and portfolio management. Despite the fact that a large number of forecasting models have been designed to...

Prediction of corporate failure is one of the major activities in auditing firms risks and uncertainties. The design of reliable models to predict bankruptcy is crucial for many decision-making processes. Although a large number of models have been designed to predict bankruptcy, the relative...