dc.contributor | Ronderos, Nicolas | |
dc.contributor | Universidad Santo Tomas | |
dc.creator | Rojas Rivera, Leonardo | |
dc.date.accessioned | 2023-07-17T15:24:57Z | |
dc.date.accessioned | 2023-09-06T12:36:47Z | |
dc.date.available | 2023-07-17T15:24:57Z | |
dc.date.available | 2023-09-06T12:36:47Z | |
dc.date.created | 2023-07-17T15:24:57Z | |
dc.date.issued | 2023-07-15 | |
dc.identifier | Rojas Rivera, L. (2023). Estimación del tipo de cambio en Colombia comparando modelos econométricos Arimax – Garch y redes neuronales. [Trabajo de grado, Universidad Santo Tomás]. Repositorio institucional. | |
dc.identifier | http://hdl.handle.net/11634/51338 | |
dc.identifier | reponame:Repositorio Institucional Universidad Santo Tomás | |
dc.identifier | instname:Universidad Santo Tomás | |
dc.identifier | repourl:https://repository.usta.edu.co | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8679452 | |
dc.description.abstract | The work proposes to compare econometric models such as the combination of ARIMAX-GARCH models against neural networks, with the objective of finding a better predictor of the representative market rate in Colombia (TRM), the results of the exercise show that the combination of the ARIMAX-GARCH model for the projection and analysis of such a volatile variable allows obtaining a better estimate than with the implementation of neural networks. | |
dc.language | spa | |
dc.publisher | Universidad Santo Tomás | |
dc.publisher | Pregrado Economía | |
dc.publisher | Facultad de Economía | |
dc.relation | Clavijo, S. (2001). EL REGIMEN DE FLOTACION CAMBIARIA EN COLOMBIA. Bogota: BANREP. | |
dc.relation | Mundell, R. (1960). The Monetary Dynamics of International Adjustment. Quarterly Journal of Economics, 227 - 257. | |
dc.relation | Fleming, J. (1961). Internal Financial Policies Under Fixed and Floating Exchange. Cambridge Journal of economics, 273 - 288. | |
dc.relation | Granger, C., & Terasvirta, T. (1993). Modeling nonlinear economic relationships. Oxford University Press. | |
dc.relation | Kilian, L., & Mark P, T. (2003). Why is it so difficult to beat the random walk forecast of exchange rates? Journal of International Economics, 85-107. | |
dc.relation | Apergis, N. (2014). Can gold prices forecast the australian dollar movements? Review of economics and finance , 75 - 82. | |
dc.relation | Corficolombiana. (2022). Devaluacion del peso: Causa y efectos . Corficolombiana. A, C. (2005). Real exchange misaligments and economic performance. Santiago: Banco de chile. | |
dc.relation | CARDENAS, A. (2010). Reglas de Taylor y previsibilidd fuera de muestra de la tasa de cambio en latinoamericana . Bogotá: BANREP. | |
dc.relation | Henao Velasquez, J. D., & Gonzalez Rivera, L. M. (2005). Modelado del indice de tipo usando redes neuronales artificales. Bogotá. | |
dc.relation | Martinez, M., Guzman, D., Perez, F., & Marin, N. (2018). Modelo cuantitativo ARIMAX - EGARCH pera la prediccion de la tasa de cambio Colombiana (COP/USD). Espacios, 1-16. | |
dc.relation | Nuñes V. (2015). Measurement of exchange rate exposure: capital market approach versus cash flow approach. ELSEVIER, 394 -399. | |
dc.relation | Prasada K. (2015). Measurement of exchange rate exposure: capital market approach. ELSEVIER, 394 -399. | |
dc.relation | Tsay Ruey. (2018). Analysis of financial times series. John willey sons. | |
dc.relation | Sallenave S. (2010). Real exhange rate misalignments and economic performance for the G20 countries. la documentatio francaise economie internationale. | |
dc.relation | Direccion de inversiones de BBVA. (10 de 2020). Factores que afectan el tipo de cambio. Obtenido de BBVA: https://www.bbva.es/estaticos/mult/Factores_afectan_el_Tipo_de_cambios_tcm924-580177.pdf | |
dc.relation | Toro, J., Garavito, A., Lopez, D., & E, &. M. (2015). El choque del petroleo y sus implicaciones en la economia Colombiana. Borradores de economia, 1-65. | |
dc.relation | George K. (1983). A Short-Run Pricing Model for a Speculative Asset, Tested with Data from the Gold Bullion Market. Applied Economics, 15, 563 - 581. | |
dc.relation | Gosh D., Levin E, & Macmillan P. (Department of Economics, Discussion Paper Series). Gold As An Inflation Hedge? University of St. Andrews. | |
dc.relation | Sjaastad L. (2008). The Price of Gold and the Exchange Rates. Obtenido de Once Again: http:// www.business.uwa.edu.au/school/disciplines/economics/?A=98660. | |
dc.relation | Due D., Fernandez, I., & Heras R, L. (2015). Determinantes de la tasa de cambio en Colombia: Un enfoqie de microestructura de mercados . Ensayos sobre Politica Económica, 33(74), 207-219. | |
dc.relation | Login. E. (1995). Is the Correlation in the international Equity Returns Contan 1960 - 1990? . Journal of international Money and Finance , 26-40. | |
dc.relation | Aggarwal, R. I. (1999). Latility in Emerging stock Markets . Journal of Financial and Quantitative Analysis , 34-35. | |
dc.relation | Chaterreje, A., Ayadi, O., & Boone , B. (2000). Artificial Neural Network and the Financial Markets. A Survey. Managerial Finance, 32-45. | |
dc.relation | Moshiri, S., & Cameron , N. (2000). Neural network versus econometric models in forecasting inflation. Journal Forecast, 201-217. | |
dc.relation | Stock, J., & Watson, M. (2001). A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series. Cambridge University Press., 1-44. | |
dc.relation | Bengio, Y., & Simard, p. y. (1994). Learning long-term dependencies with gradient descent is difficult. EEE Transactions on Neural Networks,, 157 - 166. | |
dc.relation | Hochreiter, S. y. (15 de Noviembre de 1997). Long short-term memory . Obtenido de Neural Computation.: https://doi.org/10.1162/neco.1997.9.8.1735 | |
dc.relation | Burger, S. V. (2018). Introduction to Machine Learning with R. United States of America: O'REILLY'. | |
dc.relation | Romero, M., & Ramirez, E. &. (2007). La tasa de cambio es gerenciable? Estudios Gerenciales, 131 -156. | |
dc.relation | Miller, J. L. (2018). Determinantes del tipo de cambio y su volatilidad. Economía UNAM, 70-88. | |
dc.relation | Parra, O. J. (2004). PRONÔSTICO DE LA TASA DE CAMBIO NOMINAL UTILIZANDO METODOS ALTERNATIVOS. PRONÔSTICO DE LA TASA DE CAMBIO NOMINAL UTILIZANDO METODOS ALTERNATIVOS. BOGOTA, CUNDINAMARCA, COLOMBIA. | |
dc.relation | JIMENEZ, F. M. (2005). PRONÔSTICO DE LA TASA DE CAMBIO NOMINAL UTILIZANDO METODOS ALTERNATIVOS. PRONÔSTICO DE LA TASA DE CAMBIO NOMINAL UTILIZANDO METODOS ALTERNATIVOS. BOGOTÀ, CUNDINAMARCA, COLOMBIA. | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
dc.rights | Abierto (Texto Completo) | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | http://purl.org/coar/access_right/c_abf2 | |
dc.rights | Atribución-NoComercial-SinDerivadas 2.5 Colombia | |
dc.title | Estimación del tipo de cambio en Colombia comparando modelos econométricos Arimax – Garch y redes neuronales | |