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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/211

Google™ Scholar. Others By: Carnero, María Ángeles - Peña, Daniel - Ruiz, Esther
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ws042007.pdf-- 2006-11-09 -- Available on Internet -- preprint7,56 MBAdobe PDFformato pdf
Title: Spurious and hidden volatility
Author(s): Carnero, María Ángeles
Peña, Daniel
Ruiz, Esther [ortega]
Editors: Universidad Carlos III de Madrid
Issued date: Jul-2004
URI: http://hdl.handle.net/10016/211
Abstract: This paper analyses the effects caused by outliers on the identification and estimation of GARCH models. We show that outliers can lead to detect spurious conditional heteroscedasticity and can also hide genuine ARCH effects. First, we derive the asymptotic biases caused by outliers on the sample autocorrelations of squared observations and their effects on some homoscedasticity tests. Then, we obtain the asymptotic biases of the OLS estimates of ARCH(p) models and analyze their finite sample behavior by means of extensive Monte Carlo experiments. The finite sample results are extended to GLS and ML estimates of ARCH(p) and GARCH(1,1) models.
Serie / Nº.: UC3M Working Papers. Statistics and Econometrics
2004-07
Appears in Collections:DES - Working Papers. Statistics and Econometrics. WS
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