Financial Statement Analysis and the Prediction of Financial Distress

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using SVM with Financial Statement Analysis for Prediction of Stocks

At present, there are many technical analyses for prediction in stock market. However, the technical indices are fluctuated with the quantity of stock exchanges. The financial indices are more reliable, nonvolatile and valid compared with the technical indices. In this paper, we propose an original and universal method by using SVM with financial statement analysis for prediction of stocks. We ...

متن کامل

The prediction of financial distress using structured financial data from the internet

This paper uses Þnancial structure data via internet network to enable the prediction of Þnancial distress. Financial distress is deÞned as a Þrm that has entered into liquidation, receivership or is declared as of negligible value by the Inland Revenue. A sample of distressed and nondistressed quoted companies listed on the London Stock Exchange for the last 20 years (1980 1999) was obtained f...

متن کامل

Financial Statement Analysis Using Data Envelopment Analysis

This article explains how data envelopment analysis can be used as a decision support system to perform financial statement analysis and demonstrates the benefits DEA offers over traditional financial statement analysis techniques. A major advantage of the DEA approach is that it clearly identifies the factors contributing to the performance of company over its competitors.

متن کامل

The effect of feature selection on financial distress prediction

Financial distress prediction is always important for financial institutions in order for them to assess the financial health of enterprises and individuals. Bankruptcy prediction and credit scoring are two important issues in financial distress prediction where various statistical and machine learning techniques have been employed to develop financial prediction models. Since there are no gene...

متن کامل

Financial distress prediction using the hybrid associative memory with translation

This paper presents an alternative technique for financial distress prediction systems. The method is based on a type of neural network, which is called hybrid associative memory with translation. While many different neural network architectures have successfully been used to predict credit risk and corporate failure, the power of associative memories for financial decision-making has not been...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Foundations and Trends in Accounting

سال: 2010

ISSN: 1554-0642,1554-0650

DOI: 10.1561/1400000018