The Relative Predictability of Stock Markets in the Americas

Published date01 April 2016
DOIhttp://doi.org/10.1002/ijfe.1536
Date01 April 2016
THE RELATIVE PREDICTABILITY OF STOCK MARKETS IN THE
AMERICAS
GRAHAM SMITH*
,
and ANETA DYAKOVA
Department of Economics, SOAS, University of London, Thornhaugh Street, London WC1H 0XG, UK
ABSTRACT
The degree of return predictability is measured for seven Latin American stock markets and those in Canada and the United
States using three nite-sample variance ratio tests. Daily data for the period beginning in February 1994 and ending in
December 2011 are used in a xed-length rolling window to capture short-lived predictability, track changes in predictability
through time and rank markets by relative predictability. Overall, the degree of return predictability varies widely. The most
predictable are those located in Chile and Peru; the least predictable are in Argentina and Brazil. Predictability has decreased
for all of those stock markets examined, except those located in Ecuador and the United States. Predictability largely coincides
with times of crisis. Copyright © 2015 John Wiley & Sons, Ltd.
Received 8 November 2012; Revised 27 August 2015; Accepted 22 September2015
JEL CODE: C12; G1; G14
KEY WORDS: American stock markets; relative efciency; return predictability; variance ratio test
1. INTRODUCTION
Stock return predictability has received considerable attention because of its relationship with the weak-form
market Efcient Markets Hypothesis (EMH), in which prices fully reect all of the available information in histor-
ical prices. Most of the previous empirical works testing the EMH for stock markets in the Americas have carried
out tests for a particular market over a single period. This conventional, absolute efciency approach leads to the
inference that a stock market either is or is not weak form efcient. This absolute efciency concept is limited.
Campbell et al. (1997, p 24) have noted that relative efciencythe efciency of one market measured against
anotheris both more relevant and potentially much more useful than the traditional all-or-nothing view. In this
paper, tests are implemented with a xed-length rolling window. By repeatedly testing the EMH, the rolling
window detects changes in predictability and is used to measure relative predictability. Within this framework,
relative predictability is quantied by comparing the relative frequencies of rejecting the martingale hypothesis.
In weak-form efcient markets, price changes are random and, equivalently, successive one-period returns are
independent. One characterization of this is the random walk hypothesis, which requires independently and iden-
tically distributed (IID) returns. However, because IID returns lack widespread empirical support in stock markets,
the less restrictive martingale hypothesis is more appropriate and is used here. This hypothesis shares the charac-
teristic of independent returns but permits dependence in higher moments, including conditionally heteroscedastic
returns, and so is a more general version of the random walk hypothesis. The concept of relative predictability can
be used with individual stocks, groups of stocks or market indices so it is useful for both local investors and
international investment funds. The purpose of this paper is to test the martingale hypothesis using stock price in-
dices for seven Latin American equity markets located in Argentina, Brazil, Chile, Ecuador, Mexico, Peru and
Venezuela, together with those in Canada and the United States, and rank them according to their relative predictability.
*Correspondence to: Graham Smith, Department of Economics, SOAS, University of London, Thornhaugh Street, London, WC1H 0XG, UK.
E-mail: graham.smith@soas.ac.uk
Copyright © 2015 John Wiley & Sons, Ltd.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
Int. J. Fin. Econ. 21: 131142 (2016)
Published online 3 November 2015 in Wiley Online Library
(wileyonlinelibrary.com). DOI: 10.1002/ijfe.1536

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