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A Neural Networks Model of the Venezuelan Economy

2007/08/26 by Sabatino Costanzo, Loren Trigo, Costanzo, Sabatino +7
Agricultural and Biological Sciences · Computer Science · Economics, Econometrics and Finance · Engineering · #Agricultural and Food Production Studies #Computational Engineering #Energy Load and Power Forecasting #FOS: Computer and information sciences #Finance #Monetary Policy and Economic Impact #Neural and Evolutionary Computing (cs.NE) #and Science (cs.CE) #cs.CE #cs.NE

paper · pdf · doi:10.48550/arxiv.0708.3463

arxiv created 2007/08/26 · openalex publication_date 2007/08/26 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Besides 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.

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