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Business failure prediction is an important issue in corporate finance. Different prediction models are proposed by financial theory and are often used in practice. Their application is effortless, selecting only few key inputs with the greatest informative power from the large list of possible indicators. Our paper identifies the financial distress predictors for 5 post-communist countries (Bulgaria, Croatia, the Czech Republic, Hungary and Romania) based on information collected from the Amadeus database for the period 2011-2013 using CHAID decision trees and neural networks. We propose a short list of indicators, which can offer a synthetic perspective on corporate distress risk, adapted for these countries. The best prediction models are substantially different from country to country: in the Czech Republic, Hungary and Romania the flow-approach indicators perform better, while in Bulgaria and Croatia-the stock-approach indicators. The results suggest that the extrapolation of such models from one country to another should be made cautiously. One interesting finding is the presence of the ratios per employee as predictors of financial distress.

Bad decisions have harmful effects on the quality of human life and an increase of their duration expands these undesirable effects. Systematic bad decisions related to dividend policy can affect the investors’ quality of life in the long-term. We propose an agent-based model for the estimation of the duration of systematically making bad decisions, with an application on dividend policy. We propose an algorithm that can be used in modelling the interaction between different classes of shareholders and for predicting this duration. We perform numerical simulations based on this model using NetLogo 6.0.4. We prove that, as a result of agents’ interaction, in some conditions, the duration of systematically making bad decisions can be very long: some numerical simulations suggest that, in some circumstances, this duration can significantly exceed the human lifetime. Additionally, in some conditions, the company can fail before the power is switched. This duration can increase dramatically if the shareholders have a great level of trust in the management’s decisions. As an implication, a greater concern for the quality of financial education, and more performant instruments for controlling the power’s decisions are required.

In the recent years, an increasing number of papers deepened cross-disciplinary studies, examining how different cultural values influence financial variables. The main objective of our paper is to test if the dominant world religions (Buddhist, Christian, Hindu, Islamic, and Judaic), and, moreover, some Christian denominations (Catholicism, Protestantism and Eastern Orthodox Christianity) are related to some patterns in capital structure. Our paper considers distinctly the category of countries in which Agnostics, Atheists and non-religious people are predominant. The results are promising. Companies located in the states with predominance of Islamic religion have a lower leverage, while the ones from predominantly Catholic, Eastern Orthodox, Hindu and Judaic countries, as well as those in mainly Agnostic, Atheist and non-religious ones, are indebted more than those from mainly Protestant countries. The debt maturity seems to be correlated to the dominant religions or denominations, with companies in the predominantly Eastern Orthodox, Buddhist and Agnostic, Atheist and non-religious countries relying more on short term debt, and those in the majority Catholic, Judaic and Hindu countries on long term debt.