Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing and predicting the financial distress of a company is to develop a predictive model used to forecast the financial condition of a company by combining several econometric...

The post-Altman models suffer from moral amortization. This paper asks whether models developed in one country can be applied in other economies. One of the characteristics of the prediction model is that a date drives the estimation. Thus, the estimated model based on one economy is not...

As a core activity in the tourism sector, hospitality accounts for the largest share of the sector's revenue. The last few years, prior to the COVID-19 pandemic, have been years of strong growth both in the number of hotel companies and in the number of available rooms. The hospitality industry...

This paper aims to compare the usefulness of tax arrears and financial ratios in bankruptcy prediction. The analysis is based on the whole population of Estonian bankrupted and survived SMEs from 2013 to 2017. Logistic regression and multilayer perceptron are used as the prediction methods. The...

This paper aims to present a benchmarking framework for short- and long-term risk of enterprises in emerging markets that seek integration in global value chains. The benchmark instrument aims in particular to assess short- and long-term risk based on accounting data and estimations of key...

This paper proposes a new approach toward understanding the financial performance dynamics in the EU retail sector (pre-pandemic); we focus on the connection between indebtedness and solvency risk and other areas of corporate performance (e.g., liquidity, assets efficiency, and profitability)....

The risk of corporate financial distress negatively affects the operation of the enterprise itself and can change the financial performance of all other partners that come into close or wider contact. To identify these risks, business entities use early warning systems, prediction models, which...