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Article provided by Universidad de Antioquia, Departamento de Economía in its journal LECTURAS DE ECONOMÍA.

Volume (Year): (2006)
Issue (Month): 65 (Julio-Diciembre)
Pages: 73-116
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Handle: RePEc:lde:journl:y:2006:i:65:p:73-116

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Related research

Keywords: artificial neural network; non-linearity; hidden unit; activation function; rolling test; asymmetric lost function.;

Find related papers by JEL classification:
D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications

References listed on IDEAS
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1. Nakamura, Emi, 2005. "Inflation forecasting using a neural network," Economics Letters, Elsevier, vol. 86(3), pages 373-378, March. [Downloadable!] (restricted)
2. Jean Imbs & Haroon Mumtaz & Morten O. Ravn & Hélène Rey, 2003. "Nonlinearities and Real Exchange Rate Dynamics," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 639-649, 04/05. [Downloadable!] (restricted)
3. Steven Gonzalez, . "Neural Networks for Macroeconomic Forecasting: A Complementary Approach to Linear Regression Models," Working Papers-Department of Finance Canada 2000-07, Department of Finance Canada. [Downloadable!]
4. Luis Eduardo Arango & Andrés González, . "Some Evidence of Smooth Transition Nonlinearity in Colombian Inflation," Borradores de Economia 105, Banco de la Republica de Colombia. [Downloadable!]
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   • Luis Eduardo Arango & Andrés González, 1998. "Some Evidence Of Smooth Transition Nonlinearity In Colombian Inflation," BORRADORES DE ECONOMIA 003515, BANCO DE LA REPÚBLICA. [Downloadable!]
   • Arango, Luis E & Gonzalez, Andres, 2001. "Some Evidence of Smooth Transition Non-linearity in Colombian Inflation," Applied Economics, Taylor and Francis Journals, vol. 33(2), pages 155-62, February. [Downloadable!] (restricted)
5. Munir A. Jalil & Luis Fernando Melo, . "Una Relación no Líneal entre Inflación y los Medios de Pago," Borradores de Economia 145, Banco de la Republica de Colombia. [Downloadable!]
6. Clements, Michael P. & Franses, Philip Hans & Swanson, Norman R., 2004. "Forecasting economic and financial time-series with non-linear models," International Journal of Forecasting, Elsevier, vol. 20(2), pages 169-183. [Downloadable!] (restricted)
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   • Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics. [Downloadable!]
7. Luis Eduardo Arango & Andrés González & Carlos Esteban Posada, . "Returns and Interest Rate: A Nonlinear Relationship in the Bogotá Stock Market," Borradores de Economia 169, Banco de la Republica de Colombia. [Downloadable!]
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   • Luis Eduardo Arango & Andrés González & Carlos Esteban Posada, 2001. "Returns And Interest Rate: A Nonlinear Relationship In The Bogota Stock Market," BORRADORES DE ECONOMIA 003468, BANCO DE LA REPÚBLICA. [Downloadable!]
8. Swanson, N.R. & White, H., 1995. "A Models Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks," Papers 04-95-12, Pennsylvania State - Department of Economics.
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   • Norman R. Swanson & Halbert White, 1995. "A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks," Macroeconomics 9503004, EconWPA. [Downloadable!]
   • Norman R. Swanson & Halbert White, 1997. "A Model Selection Approach To Real-Time Macroeconomic Forecasting Using Linear Models And Artificial Neural Networks," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 540-550, November. [Downloadable!] (restricted)
9. 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. [Downloadable!]
   Other versions:
   • 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. [Downloadable!]
10. Kuan, Chung-Ming & Liu, Tung, 1995. "Forecasting Exchange Rates Using Feedforward and Recurrent Neural Networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 347-64, Oct.-Dec.. [Downloadable!] (restricted)
11. Martha Misas & Enrique López & Carlos Arango & Juan Nicolás Hernández, . "La Demanda de Efectivo en Colombia: Una Caja Negra a la Luz de las Redes Neuronales," Borradores de Economia 268, Banco de la Republica de Colombia. [Downloadable!]
    Other versions:
    • Martha Misas A. & Enrique López E. & Carlos A. Arango A. & Juan Nicolás Hernández A., 2003. "La Demanda de Efectivo en Colombia: Una Caja Nagra a la Luz de las Redes Neuronales," BORRADORES DE ECONOMIA 002963, BANCO DE LA REPÚBLICA. [Downloadable!]
12. Tkacz, Greg & Hu, Sarah, 1999. "Forecasting GDP Growth Using Artificial Neural Networks," Working Papers 99-3, Bank of Canada. [Downloadable!]
13. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S119-36, Suppl. De. [Downloadable!] (restricted)
14. Christoffersen, Peter F & Diebold, Francis X, 1996. "Further Results on Forecasting and Model Selection under Asymmetric Loss," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 561-71, Sept.-Oct. [Downloadable!] (restricted)
    Other versions:
    • Christoffersen & Diebold, . "Further Results on Forecasting and Model Selection Under Asymmetric Loss," Home Pages _059, University of Pennsylvania. [Downloadable!]
15. Arango, Luis E. & Melo, Luis F., 2006. "Expansions and contractions in Brazil, Colombia and Mexico: A view through nonlinear models," Journal of Development Economics, Elsevier, vol. 80(2), pages 501-517, August. [Downloadable!] (restricted)
16. Yochanan Shachmurove & Doris Witkowska, . "Utilizing Artificial Neural Network Model to Predict Stock Markets," Penn CARESS Working Papers cae679cdc2e020f74d692ae73, Penn Economics Department. [Downloadable!]
17. Luis Fernando Melo Velandia & Martha MisasA., 2005. "Analisis Delcomportamiento De La Inflacíon Trimestral En Colombia Bajo Cambios De Regimen: Una Evidencia A Traves Del Modelo," BORRADORES DE ECONOMIA 001993, BANCO DE LA REPÚBLICA. [Downloadable!]
18. Munir A. Jalil. B & Martha Misas, 2006. "Evaluación de pronósticos del tipo de cambio utilizando," BORRADORES DE ECONOMIA 002636, BANCO DE LA REPÚBLICA. [Downloadable!]
19. Peter F. Christoffersen & Francis X. Diebold, 1994. "Optimal Prediction Under Asymmetric Loss," NBER Technical Working Papers 0167, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
    • Christoffersen & Diebold, . "Optimal Prediction Under Asymmetric Loss," Home Pages 167, 1996., University of Pennsylvania. [Downloadable!]
    • Peter F. Christoffersen & Francis X. Diebold, 1997. "Optimal prediction under asymmetric loss," Working Papers 97-11, Federal Reserve Bank of Philadelphia. [Downloadable!]
    • Peter F. Christoffersen & Francis X. Diebold, . "Optimal Prediction Under Asymmetric Loss," CARESS Working Papres 97-20, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences. [Downloadable!]
    • Christoffersen, Peter F. & Diebold, Francis X., 1997. "Optimal Prediction Under Asymmetric Loss," Econometric Theory, Cambridge University Press, vol. 13(06), pages 808-817, December. [Downloadable!]

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