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La Demanda De Especies Monetarias En Colombia: Estructura Y Pronóstico

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Abstract

Las tesorerías de los Bancos Centrales enfrentan el problema de pronosticar las necesidades de especies monetarias requeridas por los agentes económicos para finalizar sus transacciones. Dichos pronósticos son utilizados para hacer sus planes a mediano plazo (2 a 3 años en el caso colombiano) de producción, e inventarios de materia prima y unidades terminadas por denominación. El objetivo de este trabajo es evaluar distintas técnicas de pronóstico que sean lo suficientemente flexibles como para incorporar las innovaciones recientes en los determinantes de la demanda y la estructura denominacional de las especies monetarias, y reconocer las posibles no-linealidades en la relación de aquellos con el uso del efectivo. La estrategia seguida se basa en la utilización de redes neuronales artificiales (ANN) y mínimos cuadrados flexibles (FLS), dos técnicas econométricas bastante robustas frente a cambios estructurales y que permiten incorporar elementos no-lineales en la modelación del efectivo.

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  • Carlos A. Arango A., 2004. "La Demanda De Especies Monetarias En Colombia: Estructura Y Pronóstico," BORRADORES DE ECONOMIA 002964, BANCO DE LA REPÚBLICA.
  • Handle: RePEc:col:000094:002964
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    1. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, November.
    2. Martha Misas A. & Enrique López & Luis Fernando Melo, 1999. "La Inflación Desde Una Perspectiva Monetaria: Un Modelo P* Para Colombia," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, issue 35, pages 5-53, May.
    3. Luis Fernando Melo Velandia & Martha Alicia Misas Arango, 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a través de Mínimos Cuadrados Flexibles," BORRADORES DE ECONOMIA 003244, BANCO DE LA REPÚBLICA.
    4. Martha Misas Arango & Enrique López Enciso & Pablo Querubín, 2002. "La Inflación En Colombia: Una Aproximación Desde Las Redes Neuronales," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 20(41-42), pages 143-214, June.
    5. Kalaba, Robert & Rasakhoo, Nima & Tesfatsion, Leigh, 1989. "A FORTRAN program for time-varying linear regression via flexible least squares," Computational Statistics & Data Analysis, Elsevier, vol. 7(3), pages 291-309, February.
    6. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    7. Luis Fernando Melo & Martha Misas A., 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a Través de Mínimos Cuadrados Flexibles," Borradores de Economia 283, Banco de la Republica de Colombia.
    8. Jerry Mushin, 1998. "Modeling the currency issue," Atlantic Economic Journal, Springer;International Atlantic Economic Society, pages 252-258.
    9. Martha Alicia Misasarango & Enrique Antonio Lopezenciso & Carlos Arango & Juan Nicolashernandez, 2004. "No-Linealidades En La Demanada De Efectivo En Colombia: Las Redes Neuronales Como Herramienta De Pronostico," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 22(45), pages 10-57, June.
    10. Franses, Philip Hans & Kippers, Jeanine, 2007. "An empirical analysis of euro cash payments," European Economic Review, Elsevier, vol. 51(8), pages 1985-1997, November.
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

    1. Jorge E. Galán and & Miguel Sarmiento, 2008. "Banknote Printing at Modern central Banking: Trends, Costs and Efficiency," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 217-262, July-Dece.
    2. Odean B. White, 2008. "Determinants of Commercial Banks’ Cost of Financial Intermediation in Jamaica: a Maximum Likelihood Estimation Approach," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 129-159, July-Dece.
    3. Guillermo Vuletin, 2008. "What is the Size of the Pie? Measuring the Informal Economy in Latin America and the Caribbean," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 161-191, July-Dece.
    4. Yan Sun & Rupa Duttagupta, 2008. "Price Dynamics in the Eastern Caribbean," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 193-216, July-Dece.

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