Testing the multivariate normality of Australian stock returns

Philip Gray, Egon Kalotay, Julie McIvor

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

The multivariate normality of stock returns is a crucial assumption in many tests of assets pricing models. While past Australian research has examined the univariate normality of returns, univariate test statistics are unreliable for testing multivariate normality since they ignore the contemporaneous correlation between asset returns. This paper utilises a multivariate test procedure, based on the generalised method of moments, to test whether residuals from market model regressions are multivariate normal. The results suggest violations of the multivariate normality assumption which cast doubt over the validity over inferential procedures commonly used in the extant empirical literature.

Original languageEnglish
Pages (from-to)135-150
Number of pages16
JournalAustralian Journal of Management
Volume23
Issue number2
DOIs
Publication statusPublished - 1 Dec 1998

Keywords

  • GMM
  • Kurtosis
  • Multivariate Normality
  • Skewness

Cite this

Gray, Philip ; Kalotay, Egon ; McIvor, Julie. / Testing the multivariate normality of Australian stock returns. In: Australian Journal of Management. 1998 ; Vol. 23, No. 2. pp. 135-150.
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Testing the multivariate normality of Australian stock returns. / Gray, Philip; Kalotay, Egon; McIvor, Julie.

In: Australian Journal of Management, Vol. 23, No. 2, 01.12.1998, p. 135-150.

Research output: Contribution to journalArticleResearchpeer-review

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