Risk and risk management of spillover effects: Evidence from the literature

Date01 March 2020
AuthorChristian Eckert
Published date01 March 2020
DOIhttp://doi.org/10.1111/rmir.12139
Risk Manag Insur Rev. 2020;23:75104. wileyonlinelibrary.com/journal/rmir
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75
Received: 3 June 2019
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Accepted: 18 January 2020
DOI: 10.1111/rmir.12139
PERSPECTIVE
Risk and risk management of spillover effects:
Evidence from the literature
Christian Eckert
School of Business, Economics, and Society,
FriedrichAlexander University
ErlangenNürnberg (FAU), Nürnberg,
Germany
Correspondence
Christian Eckert, School of Business,
Economics, and Society,
FriedrichAlexander University
ErlangenNürnberg (FAU), Lange Gasse 20,
90403 Nürnberg, Germany.
Email: christian.eckert@fau.de
Abstract
In this article, we provide a comprehensive review of the
existing theoretical and empirical literature regarding
spillover effects (effects of a crisis event in an announ-
cing firm on other firms). In particular, we focus on the
mechanism behind spillover effects and investigate fac-
tors that drive spillover effects. The results of our lit-
erature analysis show that spillover effects are most
often significantly negative, that is, lead to losses in
nonannouncing firms and depend on certain events and
firm characteristics. On this basis, we derive implica-
tions for the risk management of spillover effects. Tak-
ing previous work on certain individual risk
management measures into account, we are the first to
provide a holistic spillover riskmanagement process.
JEL CLASSIFICATION
G14; G32
1|INTRODUCTION
In this article, we consider spillover effects (typically measured by means of market value losses
or gains) to a nonannouncing firm caused by a certain crisis event in an announcing firm.
Previous theoretical literature regarding spillover effects examines the mechanism behind
spillover effects (see, e.g., Jonsson, Greve, & FujiwaraGreve, 2009; Yu and Lester, 2008)
and argues (see, e.g., Lang and Stulz, 1992) that spillover effects are the sum of two offsetting
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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and
reproduction in any medium, provided the original work is properly cited.
© 2020 The Authors. Risk Management and Insurance Review published by Wiley Periodicals, Inc. on behalf of American Risk and
Insurance Association
effects: the competitive effect and the contagion effect. The competitive effect means that
nonannouncing firms can benefit from the loss event in the announcing firm, whereas the
contagion effect implies that the nonannouncing firm also suffers a financial loss. As both
effects can appear simultaneously, spillover effects are always the net effect of them and in-
dicate whether the competitive effect dominates the contagion effect or vice versa.
Another strand of the literature empirically investigates whether crisis events (most often
operational losses) have the potential to cause spillover effects and which factors influence
them (see, e.g., Cummins, Wei, & Xie, 2012; Goins and Gruca, 2008; Szewczyk, 1992). Some
articles analyze spillover effects caused by specific events (e.g., Barnett (2007) examines the
effects of the Bhopal disaster on other nonannouncing chemical firms), whereas other articles
investigate spillover effects caused by certain events types in general (e.g., Cummins et al.
(2012) study spillover effects in the financial industry caused by large operational losses).
Finally, there are also a few papers regarding risk management of spillover effects. For
instance, Barnett and Hoffman (2008) deal with risk management of spillover effects from a
singlefirm perspective, whereas Baniak and Grajzl (2013) take an industry perspective.
Hence, there is a lot of previous research on this topic. However, an overview of the literature
combining the results of the empirical and the theoretical literature as well as relating them with
riskmanagement strategies of spillover effects is still due. The first contribution of our paper is,
therefore, to provide a comprehensive review of the theoretical as well as empirical literature
concerning spillover effects. By comparing and analyzing the results of previous studies, we ex-
pand existing knowledge in this area. One main finding of our empirical literature review is that
spillover effects are most often negative and depend on influencing factors. In particular, ch ar-
acteristics of the announcing and nonannouncing firm (e.g., size), as well as event characteristics
(e.g., loss size), affect spillover effects. The second contribution is that we derive based on our
literature review implications for the risk management of spillover effects (e.g., identification of
factors that drive the occurrence and severity of spillover losses) and provide a comprehensive risk
management process regarding spillover effects, which has not been done before.
The paper is structured as follows: Section 2gives an overview of the theoretical literature,
whereas Section 3focuses on the empirical literature. Section 4discusses riskmanagement
strategies with respect to spillover effects, and finally, Section 5summarizes.
2|THEORETICAL EVIDENCE REGARDING SPILLOVER
EFFECTS
Crisis events have the potential to cause severe reputational losses in the announcing firm
1
and
spillover effects to other nonannouncing firms.
2
Nonannouncing firms, potentially affected by
spillover effects, are competitors and suppliers of the announcing firm. Previous theoretical
literature regarding spillover effects argues (see, e.g., Lang and Stulz, 1992) that spillover effects
are the sum of two offsetting effects: the competitive effect and the contagion effect.
Assuming that the nonannouncing firm is a competitor of the announcing firm, for example,
Lang and Stulz (1992) and Eckert, Gatzert, and Pisula (2019) explain that, for instance, cus-
tomers might buy products of nonannouncing firms instead of products of the announcing firm
1
See, for example, Gatzert (2015) for a review of the empirical evidence of reputationdamaging events on financial performance or Fiordelisi, Soana, and
Schwizer (2014) for an empirical investigation.
2
See, for example, Cummins et al. (2012).
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