Bankruptcy Risk of Companies; A Comparative Study

Abstract

Choosing between accounting-based information or market-based information to predict corporate bankruptcy is one of the topics discussed in financial accounting research. The aim of the present study is to investigate the effectiveness of the models based on accounting information and market information and also the combined model obtained from them; Since information loading can be an effective factor in using any of the bankruptcy prediction approaches, in this study the relationship of factors affecting information loading (company size, company stock trading volume, discretionary accruals, information asymmetry and Crisis) with each of the bankruptcy approaches examined. The statistical population of the study includes companies listed on the Tehran Stock Exchange and the period from 1388 to 1397, which were selected using the targeted sampling method of 95 companies. EVIEWS software and Logit regression method were used to investigate the research hypotheses. The results of the study showed that all three approaches were effective in predicting bankruptcy, among which the integrated approach with factor loads is of higher importance. The results also showed that among the operating loads, trading volume and discretionary accruals are effective in predicting corporate bankruptcy and choosing the right approach.