Editorial

Abstract

We are proud to announce the first issue of 2017 published by Emerald Publishing Limited from the UK. Over the years, the JEFAS has gained a presence in the world of business and finance thanks to the rigorous selection of articles and the academic quality of the authors. We have chosen this publishing house because of its seriousness and prestigious work, which will help us to firmly keep the high level of our journal.

This issue contains six articles. The first one is an empirical paper entitled: “Using a naive Bayesian classifier methodology for loan risk assessment: evidence from a Tunisian commercial bank”, which addresses the question of default prediction of short term loans for a Tunisian commercial bank. The technique was conducted, and the results show that the good classification rate is in order of 63.85 per cent.

Doi: https://doi.org/10.1108/JEFAS-06-2017-048