A lot of bankruptcy forecasting model has been studied. Most of them uses corporate finance data and is intended for general companies. It may not appropriate for forecasting bankruptcy of construction companies which has big liquidity. It has a different capital structure, and the model to judge the financial risk of general companies can be difficult to apply the construction companies. The e...

This paper examines how a firm’s financial distress and the legal environment regarding the ease of bankruptcy reorganization can alter product market competition and supplier-buyer relationships. We identify three effects, predation, bail-out, and abetment, that can change firms’ behavior from their actions in the absence of financial distress. The predation effect increases competition before...

Aims: This study aimed at predicting bankruptcy based on two data mining techniques, i.e. logistic regression and classification and regression tree (CART). Study design: This was an applied, descriptiveanalytical, cross-sectional study. Place and Duration of Study: This research was carried out in Iran. Annual financial statements of companies in Tehran stock market (Iran) during 1999-2010 wer...

This paper examines the relationship between debt contract and the process of resolving financial distress, through either debt restructuring or bankruptcy procedure. It effectively justifies the popularity of the standard debt contract by demonstrating that the standard debt contract is the optimal debt contract for small business with the costly random verification scheme. Although this resul...

Closely related to financial risk assessment, one of the main concerns of the organizations should be the evaluation of bankruptcy risk, in this period of slow economic growth. Organization bankruptcies have increased in recent years worldwide. The aim of this paper is to demonstrate that the methods and models for forecasting bankruptcy of organizations, for the bankruptcy risk assessment are ...

Consumer debt and bankruptcy are central issues today because of their explosive trends over the last 20 years in the U.S. economy. However, there is no convincing explanation for these facts. A drop in information costs, a potential cause, has not been evaluated mainly because there is no quantitative theory of consumer debt and bankruptcy where the cost of information plays an important role....

The purpose of this study is to determine the Effect Altman Z-Score as Tool for Predicting Potential Bankruptcy on Stock Prices in Retail Companies Listed IDX 2019 – 2021. data collection technique uses documentation methods well literature studies published by company. financial statements retail sector companies listed Indonesia Exchange 2021 sampling using purposive techniques. that have met...

The transportation and logistics sector in Indonesia during the pandemic was a that negatively affected. Therefore, this study aimed to analyze implementation of Altman Z-Score method Covid-19 sector. sample taken by purposive sampling method, where selected 18 companies. data were analyzed quantitative descriptive analysis with sources research form literature studies documentation. results ca...

0950-7051/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.knosys.2011.06.008 ⇑ Corresponding author at: Key Laboratory of Knowledge Engineering of Ministry of Education, 130012, China. E-mail addresses: [email protected], liudayou19420 Bankruptcy prediction is one of the most important issues in financial decision-making. Constructing effective corporate bankruptcy prediction models in tim...