Using Subspace Algorithm Cointegration Analysis: Simulation Performance and Application to the Term Structure

Dietmar Bauer, M. Wagner

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

The performance of subspace algorithm cointegration analysis is discussed in detail by means of both a simulation study, as well as an empirical investigation of the expectations hypothesis of the term structure on four interest rate and bond yield data sets. A new better performing order estimation criterion is introduced. The main finding of the simulation study is that the methods offer some advantages in determining the cointegrating rank, where they often outperform Johansen cointegration analysis. In the empirical application we find much stronger evidence for the cointegration implications of the expectations hypothesis of the term structure than when using VAR cointegration analysis. These favorable findings highlight the potential usefulness of the computationally simple yet widely applicable method. ' 2008 Elsevier B.V. All rights reserved.
OriginalspracheEnglisch
Seiten (von - bis)1954-1973
Seitenumfang20
FachzeitschriftComputational Statistics and Data Analysis
Volume53
Issue6
DOIs
PublikationsstatusVeröffentlicht - 2008

Research Field

  • Ehemaliges Research Field - Mobility Systems
  • Außerhalb der AIT Research Fields

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