In this paper we intend to substantiate the usefulness of Deep Learning, especially feedforward neuronal networks, in the prediction of business failure. This methodology provides very good results in terms of predictive performance when large sample sizes are available. Therefore, we have...

The study aimed to identify factors that can be used in models that predict going concern of enterprises. The study employed the best-worst method of multi-criteria decision-making technique to evaluate and rank the factors. Twenty-one potential determinants were identified from the literature...

Any critical analysis of the corporate financial distress of listed firms in international exchange would be incomplete without a serious dissection at the industry level, because of the different levels of risks concerned. This paper considers the financial distress of listed firms at the...

SMEs are a major provider of jobs, contribute to promoting the social and economic cohesion of regions and, in particular, they are important for regions facing high unemployment or lower economic development. The importance of assessing a company's financial performance has been steadily rising...

Financial distress is a vexing managerial challenge for businesses worldwide, especially during a turbulent period like the COVID-19 pandemic. Motivated by an increasing number of closed businesses in Vietnam during the recent COVID-19 pandemic, this study is conducted to provide a comprehensive...

This paper focuses on the development of both failure prediction models on a paired sample and a random sample of small and medium-sized firms with head offices located in the region of Castilla y León (Spain), in order to prove if the predictive power of the developed models is affected by the...

This paper evaluates the importance of building a composite metric of financial soundness for the private corporate sector in Colombia. Instead of relying on the individual and sometimes restrictive financial ratio analysis approach, the purpose of this document is to provide a single metric...

This paper uses the classification of accounting systems as a guide to explore the impact of new International Financial Reporting Standards (IFRS) reporting rules on corporate financial statements and financial ratios in comparison to their local counterparts in selected European countries. In...

This paper aims to clarify the influence of changing both the sample size and selection of financial ratios in bankruptcy models accuracy of companies listed in the industrial sector of Jordan. The study sample is divided into three sub-samples counting 6, 10 and 14 companies respectively; each...