This paper presents a prognosis of financial distress of Tunisian firms. For the purpose, we empirically compared the financial analysis to artificial neural network analysis. Five multilayer perceptron are applied to improve banking-decision. Based on the results of correct classification rate, artificial neural network proved an intact predictive ability. As well, the findings of generalization test confirmed the conclusion of the classical financial analysis of a company not included in our base sample. The artificial neural network can effectively automate the granting credit decision then performed better than traditional financial analysis. Key words: Prediction
AbstractDetermining the firm risk failure using financial statements has been one of the most intere...
In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
In view of the failure of many high profile firms, bankruptcy prediction has become a topic of high ...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
The purpose of this study is to explore the applicability of a form of the artificial neural network...
Research background: In a modern economy, full of complexities, ensuring a business' financial stabi...
As a prerequisite for an informed decision, a company’s financial results are undoubtedly one of the...
The prediction of financial distress has emerged as a significant concern over a prolonged period sp...
Abstract Today, the intensity of industry competition has led many companies going bankrupt and pull...
Prediction of corporates bankruptcies is a topic that has gained more importance in the last two dec...
The ability to predict financial failure forms an essential topic in financial research. The various...
Summary The current paper aims to predict bank insolvency before the bankruptcy using neural network...
Financial distress is a condition where a company has difficulty paying off its financial obligation...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
AbstractDetermining the firm risk failure using financial statements has been one of the most intere...
In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
In view of the failure of many high profile firms, bankruptcy prediction has become a topic of high ...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
The purpose of this study is to explore the applicability of a form of the artificial neural network...
Research background: In a modern economy, full of complexities, ensuring a business' financial stabi...
As a prerequisite for an informed decision, a company’s financial results are undoubtedly one of the...
The prediction of financial distress has emerged as a significant concern over a prolonged period sp...
Abstract Today, the intensity of industry competition has led many companies going bankrupt and pull...
Prediction of corporates bankruptcies is a topic that has gained more importance in the last two dec...
The ability to predict financial failure forms an essential topic in financial research. The various...
Summary The current paper aims to predict bank insolvency before the bankruptcy using neural network...
Financial distress is a condition where a company has difficulty paying off its financial obligation...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
AbstractDetermining the firm risk failure using financial statements has been one of the most intere...
In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
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