Add to ORKGThis paper reports on the eff orts to fi nd a method for predicting economic results of companies. The input data fi les consist of 93 profi table companies and 93 bankrupt fi rms. From the total number of 93 fi rms in both categories, data of 72 fi rms served for establishing a classifi cation criterion, and for the rest of 21 fi rms, a prognosis of their eco-nomic development was performed. The classifi cation criterion for prognosticating the future economic develop-ment has been established by applications of discriminate analysis, logit analysis, and artifi cial neural network methods. The application of artifi cial neural networks has provided for better classifi cation accuracies of 90,48 % for successful fi rms, and 100 % for bankru...
Survival analysis is one of the most advanced techniques in bankruptcy prediction. However, to date,...
Machine Learning techniques are being used in several industries to improve predictive models. The o...
In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors...
This paper reports on the efforts to find a method for predicting economic results of companies. The...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
The paper aims to establish an efficient model for predicting company growth by leveraging the stren...
The subject of this paper is financial forecasting. The objective is to predict whether a company ca...
Business companies have many kinds of products that they sell to other businesses, consumers, etc. T...
Research background: In a modern economy, full of complexities, ensuring a business' financial stabi...
The subject of the study is a set of methodical features of the implementation of the financial stat...
The content of modern management accounting is formed in conjunction with the rapid development of i...
The complexity of economic processes is reflected in the time series which register their state. Not...
Subject of research – theoretical, methodological and organizational principles of economic analysis...
The author of this article decided to investigate the efficiency of using classifier combination and...
© Medwell Journals, 2016.This study highlights the need to develop economic simulation analysis for ...
Survival analysis is one of the most advanced techniques in bankruptcy prediction. However, to date,...
Machine Learning techniques are being used in several industries to improve predictive models. The o...
In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors...
This paper reports on the efforts to find a method for predicting economic results of companies. The...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
The paper aims to establish an efficient model for predicting company growth by leveraging the stren...
The subject of this paper is financial forecasting. The objective is to predict whether a company ca...
Business companies have many kinds of products that they sell to other businesses, consumers, etc. T...
Research background: In a modern economy, full of complexities, ensuring a business' financial stabi...
The subject of the study is a set of methodical features of the implementation of the financial stat...
The content of modern management accounting is formed in conjunction with the rapid development of i...
The complexity of economic processes is reflected in the time series which register their state. Not...
Subject of research – theoretical, methodological and organizational principles of economic analysis...
The author of this article decided to investigate the efficiency of using classifier combination and...
© Medwell Journals, 2016.This study highlights the need to develop economic simulation analysis for ...
Survival analysis is one of the most advanced techniques in bankruptcy prediction. However, to date,...
Machine Learning techniques are being used in several industries to improve predictive models. The o...
In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors...