An Analysis of Applications and Possibilities of Neural Networks (Fuzzy, Logic and Genetic Algorithm) in Finance and Accounting

There are problems in Finance and Accounting that cannot be solved easily through traditional techniques for example, bankruptcy prediction and strategies for trading on stock exchanges. In these cases, an alternative is the use of computational intelligence methods. This article examines empirical research published in international journals between 2007 and 2014 that present studies on the application of neural networks, fuzzy logic and genetic algorithms to Finance and Accounting area's problems. The goal is to identify and quantify the relationships established between the available technologies and the problems studied by the researchers. Analyzing 278 articles, it was realized that the most used technique is the artificial neural network. The most researched applications are of Finance, especially those related to stock market (forecast stock prices and indexes).

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