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La Demanda de Efectivo en Colombia: Una Caja Nagra a la Luz de las Redes Neuronales

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Author Info

  • Martha Misas A.

    ()

  • Enrique López E.

    ()

  • Carlos A. Arango A.

    ()

  • Juan Nicolás Hernández A.

    ()

Abstract

En el caso colombiano la tarea de pronosticar el futuro comportamiento del efectivo se ha convertido en un verdadero reto ya que durante la última década la economía ha sufrido importantes trasformaciones que han traído consigo una mayor volatilidad en las variables que lo determinan. En particular, recientemente se ha dado una fuerte reducción en la rentabilidad de activos alternativos al efectivo debido a la reducción en la tasa de inflación y a la introducción del impuesto a las transacciones financieras. Al mismo tiempo, los ciclos de la actividad económica parecen ser más pronunciados. Estos cambios cobran especial relevancia en la medida en que la demanda de dinero esté asociada en forma no lineal con sus determinantes. En este trabajo se explora esta posible relación no lineal y se explota la flexibilidad de las redes neuronales artificiales -ANN- para modelarla. Las ganancias en los errores de pronóstico y la significancia estadística de las pruebas de no linealidad frente a modelos de naturaleza lineal auguran un futuro promisorio a estas técnicas que permiten predecir mejor el futuro en un entorno cambiante.

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Bibliographic Info

Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 002963.

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Length: 43
Date of creation: 31 Dec 2003
Date of revision:
Handle: RePEc:col:000094:002963

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  1. Charles Goodhart, 2000. "Can Central Banking Survive the IT Revolution?," FMG Special Papers sp125, Financial Markets Group.
  2. Nikola Gradojevic & Jing Yang, 2000. "The Application of Artificial Neural Networks to Exchange Rate Forecasting: The Role of Market Microstructure Variables," Working Papers 00-23, Bank of Canada.
  3. Gertler, Mark, 1988. "Financial Structure and Aggregate Economic Activity: An Overview," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 559-88, August.
  4. Friedman, Benjamin M, 1999. "The Future of Monetary Policy: The Central Bank as an Army with Only a Signal Corps?," International Finance, Wiley Blackwell, vol. 2(3), pages 321-38, November.
  5. Caballero, R.J., 1990. "A Fallacy Of Composition," Discussion Papers 1990_01, Columbia University, Department of Economics.
  6. Mervyn King, 1999. "Challenges for monetary policy : new and old," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 11-57.
  7. Benjamin M. Friedman, 1999. "The Future of Monetary Policy: The Central Bank as an Army With Only a Signal Corps," NBER Working Papers 7420, National Bureau of Economic Research, Inc.
  8. 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 313-28, August.
  9. Fair, Ray C & Shiller, Robert J, 1990. "Comparing Information in Forecasts from Econometric Models," American Economic Review, American Economic Association, vol. 80(3), pages 375-89, June.
  10. Swanson, Norman R & White, Halbert, 1995. "A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 265-75, July.
  11. Sheri M. Markose & Yiing Jia Loke, 2002. "Can cash hold its own? International comparisons: Theory and evidence," Economics Discussion Papers 536, University of Essex, Department of Economics.
  12. Goodhart, Charles A E, 2000. "Can Central Banking Survive the IT Revolution?," International Finance, Wiley Blackwell, vol. 3(2), pages 189-209, July.
  13. Malte Krueger & Charles Goodhart, 2001. "The Impact of Technology on Cash Usage," FMG Discussion Papers dp374, Financial Markets Group.
  14. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
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Cited by:
  1. José Luis Torres, . "Modelos Para La Inflación Básica de Bienes Transables y No Transables en Colombia," Borradores de Economia 365, Banco de la Republica de Colombia.
  2. Mauricio A. Hernández & Munir Jalil Barney & Carlos Esteban Posada, . "¿Por qué ha crecido tanto la cantidad de dinero?: teoría y evidencia internacional (1975-2002)§," Borradores de Economia 402, Banco de la Republica de Colombia.
  3. Mauricio Hernández Monsalve & Munir A. Jalil Barney & Carlos Esteban Posada, 2006. "¿Por qué ha crecido tanto la cantidad de dinero?: teoría y Evidencia Internacional (1975-2002)," BORRADORES DE ECONOMIA 003821, BANCO DE LA REPÚBLICA.
  4. María Clara Aristizábal Restrepo, . "Evaluación asimétrica de una red neuronal artificial:Aplicación al caso de la inflación en Colombia," Borradores de Economia 377, Banco de la Republica de Colombia.

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