Autoregressive Lag Length Selection Criteria in the Presence of ARCH Errors

We study the effects of ARCH errors on the performance of the commonly used lag length selection criteria. The most important finding of this study is that SIC, FPE, HQC and BIC perform considerably well in estimating the true autoregressive lag length, even in the presence of ARCH errors. Thus, we conclude that these criteria are applicable to empirical data such as stock market returns and exchange rate volatility that exhibit ARCH effects.

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Year of publication:	2005
Authors:	Liew, Venus Khim-Sen ; Chong, Terence Tai-leung
Published in:	Economics Bulletin. - AccessEcon, ISSN 1545-2921. - Vol. 3.2005, 19, p. 1-5
Publisher:	AccessEcon

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Extent:	application/pdf
Type of publication:	Article
Language:	English
Classification:	C2 - Econometric Methods: Single Equation Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005416837