Differing investor perspectives: Revisiting contagion under perspective correlations
| Published date | 01 May 2021 |
| Author | Anjali Karol |
| Date | 01 May 2021 |
| DOI | http://doi.org/10.1002/pa.2167 |
ACADEMIC PAPER
Differing investor perspectives: Revisiting contagion under
perspective correlations
Anjali Karol
Institute for Financial Management and
Research (IFMR), Chennai, India
Correspondence
Anjali Karol, Institute for Financial
Management and Research (IFMR), No:196,
TTK Road, Parthasarathy Garden, Alwarpet,
Chennai-600018, Tamil Nadu, India.
Email: anjali.k@ifmr.ac.in
This paper introduces a new correlation measure called perspective correlation
measure as a complement to the existing objective correlation measure to detect
contagion. Incorporating the effects of currency returns on correlation estimates,
we first demonstrate theoretically that the correlation experienced by two inves-
tors given a country pair can be different. This is because the correlation measures
are inherently distinctive, determined purely from the point of view of the investor,
the foreign exchange returns between the two countries for the investment period
and the currency in which the investor counts his or her returns. The same has
been evidenced from an empirical examination of weekly closing stock index
returns data from January 1996 to December 2017 for India and its three devel-
oped counterparts, namely, the US, the UK and Japan. Our results indicate that
India does not offer diversification benefits to developed country investors but the
converse is true.
1|INTRODUCTION
The colossal impact of 2007–09 Global Financial Crisis (GFC) on
both the United States and the world markets necessitated to relook
the understanding of contagion. Contagion is the spread of market
shock from one region, economy or market to other regions, econo-
mies or markets. As an impending risk of international financial inte-
gration, contagion can lead to excess volatility impairing the
economy and financial networks of other countries. This phenome-
non of contagion can be explicated from the perspective of the four
agents that influence financial globalization, namely, governments,
financial institutions, investors and borrowers (Schmukler, 2004).
This paper addresses international stock market contagion in the
aftermath of the GFC from the perspective of individual investors.
We introduce a simple framework for testing contagion that can
provide insights on the diversification benefits as experienced by
different investors.
The literature on contagion is multifarious in terms of its defini-
tion, scope, causes, consequences, channels of propagation, the ways
of measurement and its very predictability. Some researchers consider
trade and/or financial linkages and common shocks as the reason for
the spread of crises across countries. Forbes and Rigobon (2002) call
these strong linkages or a high degree of comovement across markets
during stable periods as interdependence. This interdependence can
lead to even stronger comovements when a crisis hits one of the
countries and thereby lead to contagion even without the occurrence
of any structural changes. Forbes and Rigobon (2001) define another
narrow term called shift contagion when a crisis management and
contingency mechanism set into action with some concomitant under-
lying structural changes. They came up with a working definition of
contagion by restricting contagion to only constitute significant
increases in cross-market linkages following a crisis. Contagion also
spreads as news about a crisis in some countries puts markets else-
where into a state of panic. This can be quantified as the rise in the
probability of a crisis at home due to a crisis elsewhere (Eichengreen,
Rose, & Wyplosz, 1996).
One approach to find evidence for contagion is to define conta-
gion as excess comovement of debt or equity returns across countries
during crisis periods (Bekaert & Harvey, 2003). Changes in correlation
coefficients of asset prices after controlling for fundamentals is an
indication of contagion (Forbes & Rigobon, 2001). An improvement
upon this method uses conditional correlation or conditional probabili-
ties (Kaminsky & Reinhart, 2000) to test whether the probability of a
country encountering a crisis rises when there is a crisis elsewhere in
the world. An altogether different approach investigates the role of
macroeconomic similarities among countries in influencing investor
Received: 17 June 2019 Revised: 26 March 2020 Accepted: 25 April 2020
DOI: 10.1002/pa.2167
J Public Affairs. 2021;21:e2167. wileyonlinelibrary.com/journal/pa © 2020 John Wiley & Sons, Ltd 1of8
https://doi.org/10.1002/pa.2167
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