Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/222929 
Year of Publication: 
2018
Citation: 
[Journal:] Oxford Bulletin of Economics and Statistics [ISSN:] 0305-9049 [Issue:] 4 [Publisher:] Wiley [Place:] Hoboken [Year:] 80 [Pages:] 715-735
Publisher: 
Wiley, Hoboken
Abstract: 
The performance of information criteria and tests for residual heteroscedasticity for choosing between different models for time-varying volatility in the context of structural vector autoregressive analysis is investigated. Although it can be difficult to find the true volatility model with the selection criteria, using them is recommended because they can reduce the mean squared error of impulse response estimates substantially relative to a model that is chosen arbitrarily based on the personal preferences of a researcher. Heteroscedasticity tests are found to be useful tools for deciding whether time-varying volatility is present but do not discriminate well between different types of volatility changes. The selection methods are illustrated by specifying a model for the global market for crude oil.
Subjects: 
time series analysis
Published Version’s DOI: 
Document Type: 
Article
Document Version: 
Accepted Manuscript (Postprint)

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.