Covariance-based orthogonality tests for regressors with unknown persistence

Alex Maynard and Katsumi Shimotsu

No 273598, Queen's Economics Department Working Papers from Queen's University - Department of Economics

Abstract: This paper develops a new test of orthogonality based on a zero restriction on the covariance between the dependent variable and the predictor. The test provides a useful alternative to regression-based tests when conditioning variables have roots close or equal to unity. In this case standard predictive regression tests can suffer from well-documented size distortion. Moreover, under the alternative hypothesis, they force the dependent variable to share the same order of integration as the predictor, whereas in practice the dependent variable often appears stationary while the predictor may be near-nonstationary. By contrast, the new test does not enforce the same orders of integration and is therefore capable of detecting alternatives to orthogonality that are excluded by the standard predictive regression model. Moreover, the test statistic has a standard normal limit distribution for both unit root and local-to-unity conditioning variables, without prior knowledge of the local-to-unity parameter. If the conditioning variable is stationary, the test remains conservative and consistent. Thus the new test requires neither size correction nor unit root pre-test. Simulations suggest good small sample performance. As an empirical application, we test for the predictability of stock returns using two persistent predictors, the dividendprice- ratio and short-term interest rate.

Keywords: Financial; Economics (search for similar items in EconPapers)
Pages: 54
Date: 2007-02
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/273598/files/qed_wp_1122.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:quedwp:273598

DOI: 10.22004/ag.econ.273598

Access Statistics for this paper

More papers in Queen's Economics Department Working Papers from Queen's University - Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().