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Volatilidad de Indices Accionarios: El caso del IPSA

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  • Rodrigo A. Alfaro
  • Carmen Gloria Silva

Abstract

This paper reviews the traditional ways to measure volatility which are based only on closing prices, and introduces alternative measurements that use additional information of prices during the day: opening, minimum, maximum, and closing prices. Using th

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Bibliographic Info

Article provided by Instituto de Economía. Pontificia Universidad Católica de Chile. in its journal Cuadernos de Economía-Latin American Journal of Economics.

Volume (Year): 45 (2008)
Issue (Month): 132 ()
Pages: 217-233

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Handle: RePEc:ioe:cuadec:v:45:y:2008:i:132:p:217-233

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Keywords: Volatilidad; modelo binomial; GARCH; VIX; sesgo y eficiencia;

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References

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  1. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
  2. Asger Lunde & Peter Reinhard Hansen, 2001. "A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?," Working Papers 2001-04, Brown 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. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  5. Cox, John C. & Ross, Stephen A. & Rubinstein, Mark, 1979. "Option pricing: A simplified approach," Journal of Financial Economics, Elsevier, vol. 7(3), pages 229-263, September.
  6. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
  7. Hwang. S. & Pedro L. Valls Pereira, 2003. "Small Sample Properties of GARCH Estimates and Persistence," Finance Lab Working Papers flwp_48, Finance Lab, Insper Instituto de Ensino e Pesquisa.
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Cited by:
  1. Dale Gray & Carlos García T. & Leonardo Luna B. & Jorge E. Restrepo L., 2009. "Incorporating Financial Sector Risk Into Monetary Policy Models: Application to Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 12(2), pages 11-33, August.
  2. Alfaro, Rodrigo & Silva, Carmen Gloria, 2010. "Stock Index Volatility: the case of IPSA," MPRA Paper 25906, University Library of Munich, Germany, revised 31 Mar 2010.
  3. Rodrigo A. Alfaro. & Andrés Sagner & Carmen G. Silva, 2011. "Aplicaciones del Modelo Binomial para el Análisis de Riesgo," Working Papers Central Bank of Chile 631, Central Bank of Chile.
  4. Leonardo Luna & Dale F. Gray & Jorge Restrepo & Carlos Garcia, 2011. "Incorporating Financial Sector Risk Into Monetary Policy Models," IMF Working Papers 11/228, International Monetary Fund.

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