A Neural Networks Model of the Venezuelan Economy

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dc.creatorCostanzo, Sabatino
dc.creatorTrigo, Loren
dc.creatorJimenez, Luis
dc.creatorGonzalez, Juan
dc.date2007-08-26
dc.date.accessioned2026-07-07T08:25:45Z
dc.date.available2026-07-07T08:25:45Z
dc.descriptionBesides an indicator of the GDP, the Central Bank of Venezuela generates the so called Monthly Economic Activity General Indicator. The a priori knowledge of this indicator, which represents and sometimes even anticipates the economy's fluctuations, could be helpful in developing public policies and in investment decision making. The purpose of this study is forecasting the IGAEM through non parametric methods, an approach that has proven effective in a wide variety of problems in economics and finance.
dc.identifierhttps://arxiv.org/abs/0708.3463
dc.identifierhttp://arxiv.org/abs/0708.3463
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/136725
dc.subjectComputational Engineering, Finance, and Science
dc.subjectNeural and Evolutionary Computing
dc.titleA Neural Networks Model of the Venezuelan Economy
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