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Selecting between Autoregressive Conditional Heteroskedasticity Models: An Empirical Application to the Volatility of Stock Returns in Peru

Economic Analysis Review

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Title Selecting between Autoregressive Conditional Heteroskedasticity Models: An Empirical Application to the Volatility of Stock Returns in Peru
 
Creator Rodriguez, Gabriel
 
Subject Univariate autoregressive conditional heteroskedasticity models, Peruvian stock market returns, volatility, symmetries, asymmetries, normal, t-Student, skewed t-Student, GED distribution
 
Description An extensive family of univariate models of autoregressive conditional heteroskedasticity is applied to Peru’s daily stock market returns for the period January 3, 1992 to March 30, 2012 with four different specifications related to the distribution of the disturbance term. This concerns capturing the asymmetries of the behavior of the volatility, as well as the presence of heavy tails in these time series. Using different statistical tests and different criteria, the results show that: (i) the FIGARCH (1,1)-t is the best model among all symmetric models while the FIEGARCH (1,1)-Sk is selected from the class of asymmetrical models. Also, the model FIAPARCH (1,1)-t is selected from the class of asymmetric power models; (ii) the three models capture well the behavior of the conditional volatility; (iii) however, the empirical distribution of the standardized residuals shows that the behavior of the tails is not well captured by either model; (iv) the three models suggest the presence of long memory with estimates of the fractional parameter close to the region of nonstationarity
 
Publisher Universidad Alberto Hurtado - Facultad de Economía y Negocios
 
Contributor
 
Date 2017-04-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://www.rae-ear.org/index.php/rae/article/view/544
 
Source Revista de Análisis Económico - Economic Analysis Review; Vol 32, No 1 (2017); 69-94
Revista de Análisis Económico – Economic Analysis Review; Vol 32, No 1 (2017); 69-94
0718-8870
0716-5927
 
Language eng
 
Relation http://www.rae-ear.org/index.php/rae/article/view/544/594
 
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