University of Illinois at Urbana-Champaign
Specification tests for autoregressive conditional heteroskedastic models with applications to exchange rates of Asian countries
Abstract
dc:descriptionThe White information matrix (IM) test is applied to the linear regression model with autoregressive conditional heteroskedastic (ARCH) errors. ARCH models are used widely in analyzing economic and financial time series data. However, in practice, the models are not often thoroughly tested. We derived some tests for these models using the IM test principle. It is found that these tests turned out to be equivalent to checking whether kurtosis is changing over time, i.e to test for heterokurtosity.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Economics
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Zuo, Xiao-Lei
- Contributors dc:contributor
-
- Bera, Anil K.
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- Copyright 1992 Zuo, Xiao-Lei
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9305751
(UMI)AAI9305751 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/21713