Artikel

Choosing Between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis

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.

Sprache
Englisch

Erschienen in
Journal: Oxford Bulletin of Economics and Statistics ; ISSN: 0305-9049 ; Year: 80 ; Issue: 4 ; Pages: 715-735 ; Hoboken: Wiley

Klassifikation
Wirtschaft
Thema
time series analysis

Ereignis
Geistige Schöpfung
(wer)
Lütkepohl, Helmut
Schlaak, Thore
Ereignis
Veröffentlichung
(wer)
Wiley
ZBW – Leibniz Information Centre for Economics
(wo)
Hoboken
(wann)
2018

DOI
doi:10.1111/obes.12238
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Lütkepohl, Helmut
  • Schlaak, Thore
  • Wiley
  • ZBW – Leibniz Information Centre for Economics

Entstanden

  • 2018

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