How to Outperform Emerging Market Indexes Using Passive Indexation

AuthorOmar Al Farooque,Nipun Agarwal
Date01 September 2016
Published date01 September 2016
DOIhttp://doi.org/10.1002/jsc.2076
RESEARCH ARTICLE
Strat. Change 25: 501–508 (2016)
Published online in Wiley Online Library
(wileyonlinelibrary.com) DOI: 10.1002/jsc.2076
Copyright © 2016 John Wiley & Sons, Ltd.
Strategic Change: Briengs in Entrepreneurial Finance
Strategic Change
DOI: 10.1002/jsc.2076
How to Outperform Emerging Market Indexes
Using Passive Indexation1
Nipun Agarwal
UNE Business School, University of New England, Australia
Omar Al Farooque
UNE Business School, University of New England, Australia
The proposed excess return indexation (ERI) method helps reduce index volatility
and increase return compared with the underlying market capitalization or
price‐weighted indexes.
Emerging market indexes have been volatile over the past few years, with some
indexes reaching all‐time highs, while other emerging market indexes have fallen
signicantly. ere is a signicant amount of money moving across the world
following higher returns. Fund managers try to outperform their benchmark
indexes by undertaking active investment strategies. However, only a fraction of
fund managers are able to outperform their benchmark indexes suciently. As a
result, investors have been interested in passive indexation methods like funda-
mental, equal‐weight, risk‐based, and risk‐weighted alpha methods, which have
been developed to assist investors outperform existing market capitalization and
price indexes in the long term.
Global indexes like the Dow Jones Industrial Average, S&P 500, FTSE 100,
Hang Seng 50, and BSE 30 are either market capitalization or price‐weighted
indexes that have their basis in portfolio theory as introduced by Markowitz
(1952). Market capitalization and price indexes have the advantage that they
automatically rebalance as the prices of stocks change within the index. However,
Arnott et al. (2005) state that market capitalization and price‐weighted indexes
overweight overvalued stocks and underweight undervalued stocks. To overcome
this issue in market capitalization and price indexes, they introduced the funda-
mental indexation method, which weights stocks based on ve fundamental
factors (sales, employment, cash ow, revenue, and book value). e fundamental
index method has been widely used to develop indexes by index providers globally.
However, empirical studies analyzing the fundamental indexation method have
shown that there is no consensus between researchers regarding whether this
method can consistently outperform the market cap and price‐weighted indexes.
1 JEL classication codes: G11, G12, G15, G24.
Emerging market equity indexes
can be highly volatile.
Existing indexes globally are
either market capitalization or
price‐weighted indexes, and with
subsequent movements in
volatility these indexes uctuate
signicantly as they track stock
prices at that point in time,
reducing the stability of such an
important benchmark.
The ERI index outperforms the
underlying BSE 30 index during
the January 2, 2003 to December
31, 2012 period.

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT