Multivariate regression tests of the arbitrage pricing theory: The instrumental-variables approach

K. C. John Wei, Cheng Few Lee, Andrew H. Chen

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This article expands the theoretical basis upon which empirical testing of the arbitrage pricing theory (APT) rests. Specifically, it specifies linear restrictions for worlds in which the APT holds. These restrictions may, in principle, be tested. Since the regressors in the model are only "noisy" proxies for a specific linear transformation of the factors or mimicking portfolios, testing regressions suffer from an errors-in-variables problem. The standard econometric treatment for this problem is the instrumental-variables approach. A size-based example is employed to compare the test results derived from the instrumental-variables approach to those obtained via the ordinary least squares (OLS) method. The results from both methods cannot reject a two-factor APT for the size-sorted portfolio sample.

Original languageEnglish (US)
Pages (from-to)191-208
Number of pages18
JournalReview of Quantitative Finance and Accounting
Volume1
Issue number2
DOIs
StatePublished - Mar 1991

All Science Journal Classification (ASJC) codes

  • Accounting
  • General Business, Management and Accounting
  • Finance

Keywords

  • OLS method
  • arbitrage pricing theory
  • instrumental-variables approach
  • proxy problem

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