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No-Linealidades En La Demanada De Efectivo En Colombia: Las Redes Neuronales Como Herramienta De Pronostico









Forecasting the demand for cash in Colombia has become a true challenge in the recent past. The last decade witnessed strong changes in the variables that determine the demand for money: Inflation and, hence, interest rates, fall substantially, technological progress was strong in the Colombian Payment System and distorting Tobin-like taxes to financial transactions were imposed. These changes are of special relevance when the demand for money is a non-linear function of its determinants. In this paper we exploit the flexibility of artificial neural networks (ANN) to explore the existence of nonlinearity in the demand for cash. The results show that the ANN models outperform those of linear nature in terms of forecast errors. Furthermore, significant evidence is found of non-linearity in the dynamics of the demand for cash.

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Volume (Year): 22 (2004)
Issue (Month): 45 (June)
Pages: 10-57

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Handle: RePEc:col:000107:003277
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  1. repec:esx:essedp:536 is not listed on IDEAS
  2. Martha Misas & Enrique López & Pablo Querubín, . "La Inflación en Colombia: Una Aproximación desde las Redes Neuronales," Borradores de Economia 199, Banco de la Republica de Colombia.
  3. 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.
  4. Buiter, Willem H & Armstrong, Clive A, 1978. "A Didactic Note on the Transactions Demand for Money and Behavior towards Risk: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 10(4), pages 529-38, November.
  5. Mira, Santiago & Escribano, Álvaro, 1997. "Nonlinear error correction models," DES - Working Papers. Statistics and Econometrics. WS 6206, Universidad Carlos III de Madrid. Departamento de Estadística.
  6. 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.
  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. Park, Joon Y & Phillips, Peter C B, 2001. "Nonlinear Regressions with Integrated Time Series," Econometrica, Econometric Society, vol. 69(1), pages 117-61, January.
  9. Luis E. Arango & Andrés González, 2000. "A Nonlinear Specification of Demand for Cash in Colombia," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 207-226, July-Dece.
  10. 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.
  11. van Dijk, Dick & Teräsvirta, Timo & Franses, Philip Hans, 2000. "Smooth Transition Autoregressive Models - A Survey of Recent Developments," SSE/EFI Working Paper Series in Economics and Finance 380, Stockholm School of Economics, revised 17 Jan 2001.
  12. Nikola Gradojevic & Jing Yang, 2000. "The Application of Artificial Neural Networks to Exchange Rate Forecasting: The Role of Market Microstructure Variables," Staff Working Papers 00-23, Bank of Canada.
  13. Barnett, William A & Fisher, Douglas & Serletis, Apostolos, 1992. "Consumer Theory and the Demand for Money," Journal of Economic Literature, American Economic Association, vol. 30(4), pages 2086-2119, December.
  14. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, November.
  15. Mervyn A. King, 1999. "Challenges for monetary policy : new and old," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 11-57.
  16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  17. Breitung, Jörg, 1998. "Rank tests for nonlinear cointegration," SFB 373 Discussion Papers 1998,65, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  18. Charles Goodhart, 2000. "Can Central Banking Survive the IT Revolution?," FMG Special Papers sp125, Financial Markets Group.
  19. 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.
  20. Rech, Gianluigi, 2002. "Forecasting with artificial neural network models," SSE/EFI Working Paper Series in Economics and Finance 491, Stockholm School of Economics.
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