Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis

Mioara Chirita ()
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Mioara Chirita: Faculty of Economics and Business Administration, Dunarea de Jos University of Galati, Romania

Economics and Applied Informatics, 2012, issue 2, 61-66

Abstract: The objective of the present study is to explore the issue of the forecasting of economic crisis using the neural network. The subject is of great importance in the economy, more so as that most countries affected by crisis, declared at the end of 2010, the economic growth but the crisis paralyzed the financial world over the past three years. Neural network techniques have been frequently applied in order to predict problems like economic forecasting. The results show that creating a model using the neural networks might be a powerful tool and could be applied to prevent economic crises

Keywords: Economic and financial crisis; Forecasting models; Neural networks (search for similar items in EconPapers)
JEL-codes: C45 C53 G01 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2012:i:2:p:61-66

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