Financial distress in Brazilian banks: an early warning model,

Evaluating the Application of a Financial Early Warning System in the Iranian Banking System

One of the significant problems of banks and investors in Iran is the lack of precise awareness about the financial performance of each bank and the roadmap for improving the conditions. Besides, the undesirable status of the financial performance of banks becomes evident only when the improvement of conditions is complicated. In this paper, a data mining-based early warning system (EWS) model ...

Financial Assessment of Banks and Financial Institutes in Stock Exchange by Means of an Enhanced Two stage DEA Model

A stock exchange is an entity which provides ‘‘trading’’ facilities for stock brokers and traders to trade stocks and other securities. How to invest in stock exchange is one of the important issues in investment, and one of the factors that can help investors in the process of investment is the efficiency of the corporation under consideration. Data envelopment analysis is a mathematical method...

An early warning on early warning systems!

Application of Company Financial Crisis Early Warning Model - Use of " Financial Reference Database

market observation post system (MOPS) adds a new "Financial reference database" for investors to do investment reference. This database as a warning to public offering companies listed on the public financial information and it original within eight targets. In this paper, this database provided by the indicators for the application of company financial crisis early warning model verify that th...

Construction of the Logistic Regression Estimation Model in Early Warning on Pure Financial Indicators

In order to establish a reasonable and effective financial crisis early warning model, the article chooses some financial indicators and uses factor analysis to get the common factors to conduct the most salient financial indicators. In the case that multirole linearity is not significant, the article uses the logistic regression to analyse eligible financial data and obtains the financial cris...