This paper analyzes bankruptcy problems with nontransferable utility as a generalization of bankruptcy problems with monetary estate and claims. Following the classical axiomatic theory of bankruptcy, we formulate some appropriate properties for NTU-bankruptcy rules and study their implications. We explore duality of bankruptcy rules and we derive several characterizations of the generalized pr...

Discriminant analysis and logit analysis are traditionally used to predict company bankruptcies. More recently, neural networks have been shown to outperform these statistical methods for the problem. The selection of nancial indicators as independent variables for all these methods is a major problem. In this paper, we let a genetic algorithm operate on a set of variables. The goal is to nd th...

15 regular Srisatja Vitayasak and Pupong Pongcharoen Application of Genetic Algorithm for quantifying the affect of manufacturing machine layout design with/without maintenance consideration 18 regular Michal Munk, Dasa Munkova and Ľubomír Benko Identification of relevant and redundant automatic metrics for MT evaluation 19 regular Soumen Ghosh, Sai Prasad P.S.V.S. and Raghavendra Rao C An Effi...

This paper illustrates how a misclassification cost matrix can be incorporated into an evolutionary classification system for bankruptcy prediction. Most classification systems for predicting bankruptcy have attempted to minimize misclassifications. The minimizing misclassification approach assumes that Type I and Type II error costs for misclassifications are equal. There is evidence that thes...

According to the adverse consequences that are brought by financial distress for companies, economy and financial –monetary institutions, the use of methods that can predict the occurrence of financial failure and prevent the loss of wealth is of great importance. The major models of credit risk assessment are based on retrospective information and using the methods which use the updated market...

Neural networks have been applied successfully to a broad range of fields such as finance, data mining, medicine, engineering, geology, physics and biology. In finance, neural networks have been used for stock market prediction, credit rating, bankruptcy prediction and economic indicator forecasts. In medicine, neural networks have been used extensively in medical diagnosis, detection and evalu...

judgment of bankruptcy leads to bankruptcy of merchant. therefore, merchant will be incapable and cannot possess in his asset. various provisions can be found in commercial code, regarding contract’s of bankrupt merchant, which is inconsistent with civil code. article 423 has stipulated that trades of merchant after bankruptcy, in three cases will be void. this position is not consistent with c...

Bankruptcy prediction is a vast area of finance and accounting whose importance lies in the relevance for creditors and investors in evaluating the likelihood of getting into bankrupt. As companies become complex, they develop sophisticated schemes to hide their real situation. In turn, making an estimation of the credit risks associated with counterparts or predicting bankruptcy becomes harder...