Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis

Mioara Chirita () and Daniela Sarpe ()
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Mioara Chirita: Dunarea de Jos University of Galati, Romania
Daniela Sarpe: Dunarea de Jos University of Galati, Romania

Risk in Contemporary Economy, 2011, 44-48

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 the most countries affected by crisis, declared on 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 the economic crises.

Keywords: economic and financial crisis; forecasting models; neural networks (search for similar items in EconPapers)
Date: 2011
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