The main purpose of this paper is to find the differences in the impacts of financial factors on
business failure and financial distress. Using the traditional logistic regression method, this …

This study uses the relatively new “random forest”(RF) approach, which is based on decision-
tree analysis by combining the results of a large set of decision trees. RFs have so far been …

The aim of this research is to describe corporate bankruptcy across Western European
countries and propose a simple and reliable default prediction model for private …

Academic research and the financial industry have recently shown great interest in Machine
Learning algorithms capable of solving complex learning tasks, although in the field of firms' …

Using stepwise logistic regression models, the study aims to separately detect and explain
the determinants of default probability for unaudited and audited small-to-medium …

A significant number of the non-financial firms listed at the Nairobi Securities Exchange have
been experiencing declining financial performance and financial growth, which deter …

This study develops stepwise logit models to predict default probability for audited and
unaudited Zimbabwean non-financial privately-owned firms under downturn conditions. The …

Purpose: The study assessed the financial structure of REITs in emerging markets, using the
Nigerian Real Estate Investment Trusts (N-REITs) to provide relevant information to guide …

Academic research and the financial industry have recently paid great attention to Machine
Learning algorithms due to their power to solve complex learning tasks. In the field of firms' …

El fracaso empresarial en la literatura no presenta consenso acerca de cuáles son sus
factores determinantes, dada la complejidad e interacción dinámica entre ellos. Este trabajo …