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Regresión del cuantil aplicada al modelo de redes neuronales artificiales. Una aproximación de la estructura CAViaR para el mercado de valores colombi

  • Charle Augusto Llondoño


Existen diversas metodologías para calcular el valor en riesgo (VaR) que pretenden capturar principalmente el riesgo de mercado al que están expuestas las instituciones financieras. Siendo el modelo de valor en riesgo condicional autorregresivo (CAViaR) de Engle y Manganelli (1999, 2001, 2004) una buena aproximación empírica para la verdadera medida VaR, tanto para cubrir el riesgo como para el cumplimiento de la regulación bancaria. Por consiguiente, el objetivo de este artículo es realizar una aproximación al modelo CAViaR para el mercado de valores colombiano, empleando diferentes factores de riesgo macroeconómicos y financieros como los esbozados en Chernozhukov y Umantsev (2001); además, se busca establecer qué regla empírica permite una mejor captura del comportamiento del índice general de la Bolsa de Valores de Colombia (IGBC).

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Volume (Year): 29 (2011)
Issue (Month): 64 (July)
Pages: 62-109

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Handle: RePEc:col:000107:009443
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  1. White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2008. "Modeling autoregressive conditional skewness and kurtosis with multi-quantile CAViaR," Working Paper Series 0957, European Central Bank.
  2. Joan Jasiak & C. Gourieroux, 2006. "Dynamic Quantile Models," Working Papers 2006_4, York University, Department of Economics.
  3. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  4. Robert Engle & Simone Manganelli, 2000. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Econometric Society World Congress 2000 Contributed Papers 0841, Econometric Society.
  5. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
  6. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
  7. Luis Fernando Melo Velandia & Oscar reinaldo Becerra Camargo, . "Medidas de Riesgo, Características y Técnicas de Medición: Una Aplicación del VAR y el ES a la Tasa Interbancaria de Colombia," Borradores de Economia 343, Banco de la Republica de Colombia.
  8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  9. Ross, Stephen A., 1976. "The arbitrage theory of capital asset pricing," Journal of Economic Theory, Elsevier, vol. 13(3), pages 341-360, December.
  10. Connor, Gregory, 1984. "A unified beta pricing theory," Journal of Economic Theory, Elsevier, vol. 34(1), pages 13-31, October.
  11. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-617, December.
  12. McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
  13. George Koutoulas & Lawrence Kryzanowski, 1994. "Integration or Segmentation of the Canadian Stock Market: Evidence Based on the APT," Canadian Journal of Economics, Canadian Economics Association, vol. 27(2), pages 329-51, May.
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