This study aims to check market reaction to filing for bankruptcy and restructuring proceedings and to verify the short … companies according to the procedure (bankruptcy and restructuring) and market (the main market and the NewConnect market). The … share market react quickly to public information about filing an application for bankruptcy or restructuring. For all …

, the SC members may cooperate, reducing their bankruptcy risk considerably; thus, the chance for and extent of inter …-entity financial aid are critical to consider when assessing bankruptcy risk. A cooperative SC member cannot just be financed from debt … our results, bankruptcy risk is SC-specific, rather than a characteristic of an individual firm. Therefore, to finance an …

risk, probability of bankruptcy, and level of solvency. To achieve these results, 416 companies were analysed based on …-score model to predict bankruptcy, and, finally, logistic regression analysis to answer the hypotheses. The results show that the …

This article presents a comparative analysis of machine learning models for business failure prediction. Bankruptcy … machine learning techniques have advanced, there has been much interest in predicting bankruptcy due to their capacity to … into the most suitable model for accurate bankruptcy prediction in Pakistani companies. The results contribute to the …

Predicting the risk of corporate bankruptcy is one of the most important challenges for researchers dealing with the … issue of financial health evaluation. The risk of corporate bankruptcy is most often assessed with the use of early warning … paper was to select the most suitable financial features for bankruptcy prediction. The research sample consisted of …

principal component analysis (PCA) on 40 variables already used in the bankruptcy failure literature, resulting in the formation …