Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Optimal Lag Length Choice in Stable and Unstable VAR Models under Situations of Homoscedasticity and ARCH
Jönköping University, Jönköping International Business School, JIBS, Economics. (RUREG, in CISEG)
2008 (English)In: Journal of Applied Statistics, ISSN 0266-4763, Vol. 35, no 6, 601-615 p.Article in journal (Refereed) Published
Abstract [en]

The performance of different information criteria - namely Akaike, corrected Akaike (AICC), Schwarz-Bayesian (SBC), and Hannan-Quinn - is investigated so as to choose the optimal lag length in stable and unstable vector autoregressive (VAR) models both when autoregressive conditional heteroscedasticity (ARCH) is present and when it is not. The investigation covers both large and small sample sizes. The Monte Carlo simulation results show that SBC has relatively better performance in lag-choice accuracy in many situations. It is also generally the least sensitive to ARCH regardless of stability or instability of the VAR model, especially in large sample sizes. These appealing properties of SBC make it the optimal criterion for choosing lag length in many situations, especially in the case of financial data, which are usually characterized by occasional periods of high volatility. SBC also has the best forecasting abilities in the majority of situations in which we vary sample size, stability, variance structure (ARCH or not), and forecast horizon (one period or five). frequently, AICC also has good lag-choosing and forecasting properties. However, when ARCH is present, the five-period forecast performance of all criteria in all situations worsens.

Place, publisher, year, edition, pages
Routledge , 2008. Vol. 35, no 6, 601-615 p.
Keyword [en]
VAR; lag length; information criteria; Monte Carlo simulations; ARCH; stability
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-7681OAI: oai:DiVA.org:hj-7681DiVA: diva2:158078
Available from: 2009-01-29 Created: 2009-01-29 Last updated: 2009-02-23Bibliographically approved

Open Access in DiVA

No full text

Other links

http://www.ingentaconnect.com/content/routledg/cjas/2008/00000035/00000006/art00001

Search in DiVA

By author/editor
Hacker, R Scott
By organisation
JIBS, Economics
In the same journal
Journal of Applied Statistics
Economics

Search outside of DiVA

GoogleGoogle Scholar

Total: 382 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf