Sequential Tests of the Arbitrage Pricing Theory: A Comparison of Principal Components and Maximum Likelihood Factors

RAVI SHUKLA, CHARLES TRZCINKA

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

We examine the cross‐sectional pricing equation of the APT using the elements of eigenvectors and the maximum likelihood factor loadings of the covariance matrix of returns as measures of risk. The results indicate that, for data assumed stationary over twenty years, the first vector is a surprisingly good measure of risk when compared with either a one‐ or a five‐factor model or a five‐vector model. We conclude that in some circumstances principal components analysis may be preferred to factor analysis. 1990 The American Finance Association

Original languageEnglish (US)
Pages (from-to)1541-1564
Number of pages24
JournalThe Journal of Finance
Volume45
Issue number5
DOIs
StatePublished - Dec 1990
Externally publishedYes

ASJC Scopus subject areas

  • Accounting
  • Finance
  • Economics and Econometrics

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