Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance

Seung Ahn, Christopher Gadarowski

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Following Hansen and Jagannathan (J. Finance 52 (1997) 557), Jagannathan and Wang (J. Finance 51 (1996) 3) propose a distance measure that estimates the maximum pricing error generated by a linear asset model. Jagannathan and Wang propose a test of this HJ-distance using an empirical p-value as an alternative generalized method of moments (GMM) measure to Hansen's (Econometrica 50 (1982) 1029) GMM specification test. Using Monte Carlo analysis, we examine the finite sample properties of these specification tests. While the Hansen test mildly overrejects correct models in commonly used sample size, the empirical p-value of the HJ-distance rejects correct models too severely in such samples to provide a valid test of such models.

Original languageEnglish (US)
Pages (from-to)109-132
Number of pages24
JournalJournal of Empirical Finance
Volume11
Issue number1
DOIs
StatePublished - Jan 2004

Fingerprint

Generalized method of moments
Specification test
Small sample properties
P value
Finance
Monte Carlo analysis
Finite sample properties
Pricing errors
Sample size
Distance measure
Assets

Keywords

  • Empirical p-value
  • Finite sample properties
  • Generalized method of moments
  • Hansen-Jagannathan distance
  • Pricing error

ASJC Scopus subject areas

  • Economics and Econometrics
  • Finance

Cite this

Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance. / Ahn, Seung; Gadarowski, Christopher.

In: Journal of Empirical Finance, Vol. 11, No. 1, 01.2004, p. 109-132.

Research output: Contribution to journalArticle

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