The (ir)rationality of the 1/N heuristic
by Guido Abate
International Journal of Behavioural Accounting and Finance (IJBAF), Vol. 4, No. 4, 2014

Abstract: This paper provides an empirical evaluation of the rationality of the 1/N heuristic when applied to indexed investments linked to the most representative benchmarks of the US stock market. The 'rationality' of the investment is measured by the efficiency, both in the modern portfolio theory (MPT) and in capital asset pricing model (CAPM) frameworks, of the construction methodologies of each index. The empirical study employs four measures of efficiency: the small-sample Gibbons, Ross and Shanken test; the large-sample Wald test, implemented through a bootstrap simulation; the generalised method of moments (GMM) test, applied in a non-Gaussian framework through a block bootstrap simulation, and Kandel and Stambaugh's relative efficiency measure. Results provide strong evidence of the superior efficiency of equal weighting if compared to float- and capitalisation weighting. This also indicates that the 1/N heuristic can be regarded as rational behaviour for indexed investors.

Online publication date: Sun, 22-Feb-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Behavioural Accounting and Finance (IJBAF):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com