Previsão de inflação no Brasil: uma aplicação de redes neurais artificiais ao regime de metas de inflação

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

Inflation targeting was adopted in Brazil in 1999. Since then, the importance of inflation forecast has been growing, mainly because its larga influence in monetary policy decisions. Besides the increasing number of working papers about inflation forecasts for Brazil, nona uses artificial neural networks as forecast tool. Neural nets have great popularity in many areas of the human knowledge for its recognized capacity to approach almost any nonlinear continuous function. Inspired by studies for countries like Canada, United Kingdom and South Africa, this paper intends to forecast inflation for Brazil through artificial neural networks

ASSUNTO(S)

inflation targeting metas de inflação redes neurais (computacao) artificial neural networks inflacao -- brasil economia inflation forecast

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