Risk management and firm value: recent theory and evidence

Pages56-81
Date07 March 2016
Published date07 March 2016
DOIhttps://doi.org/10.1108/IJAIM-05-2015-0027
AuthorTimothy A Krause,Yiuman Tse
Subject MatterAccounting & Finance,Accounting/accountancy,Accounting methods/systems
Risk management and rm
value: recent theory
and evidence
Timothy A. Krause
Black School of Business, Penn State University, Erie,
Pennsylvania, USA, and
Yiuman Tse
Department of Finance, University of Missouri, St. Louis, Missouri, USA
Abstract
Purpose – This paper aims to provide an update to the risk management literature, as it compiles a
survey of 65 recent theoretical and empirical studies on the topic.
Design/methodology/approach – This is a survey paper that summarizes recent theoretical and
empirical research regarding the relationship between risk management and rm value.
Findings – Recent empirical evidence provides support for theoretical propositions in the literature
that risk management increases rm value and returns, while reducing return and cash ow volatility.
The results are largely consistent with early ndings, and there have been signicant empirical
advances that address concerns regarding the endogeneity of risk management practices relative to
corporate nancial decisions. The literature has become broader and deeper, as there are now studies
with larger sample sizes across more industries and geographic areas.
Practical implications – Firms that use sound risk management practices obtain higher valuations,
achieve better nancial performance and experience diminished costs of nancial distress. Recent
research has emerged regarding enterprise risk management and its potential for value creation and
risk reduction.
Originality/value – The paper provides a new compilation and synthesis of recent theoretical and
empirical research in risk management that addresses many of the limitations of prior research.
Keywords Risk management, Derivatives, Firm value, Enterprise risk management
Paper type Literature review
1. Introduction
The relationship between risk management (RM) and rm value has been explored to a
signicant extent in the nance, accounting and information management literature.
Several inuential articles (Stulz, 1984;Smith and Stulz, 1985;Froot et al., 1993) explore
the potential implications of this relationship and provide suggestions for further
research, garnering over 6,000 citations in the process. The purpose of the current study
is to review and synthesize the research conducted since the latest survey of empirical
The authors would like to thank the Editor, Chunhui (Maggie) Liu, and an anonymous referee for
their insightful comments and suggestions that improved the paper substantially. Krause
received support for this research from the Black School of Business at Penn State Erie – The
Behrend College.
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/1834-7649.htm
IJAIM
24,1
56
Received 21 May 2015
Revised 31 May 2015
Accepted 1 June 2015
InternationalJournal of
Accountingand Information
Management
Vol.24 No. 1, 2016
pp.56-81
©Emerald Group Publishing Limited
1834-7649
DOI 10.1108/IJAIM-05-2015-0027
RM studies (Smithson and Simkins, 2005) to summarize the empirical and theoretical
advances that have been made in this area over the past decade.
To provide context for the recent empirical and theoretical studies that we
survey, a brief recap of the early RM theory literature is appropriate. Stulz (1984)
provides the rst attempt to explain optimal rm hedging problems in a
continuous-time theoretical setting. His model posits that rms should implement
active hedging strategies to maximize rm value, not necessarily hedging 100 per
cent of every rm exposure. Smith and Stulz (1985) construct a model to demonstrate
that rms’ hedging decisions should be made in concert with other nancing
decisions. They nd that rms hedge for three reasons: to reduce taxes; to reduce the
costs of nancial distress; and managerial risk aversion. Stulz (1996) summarizes
the results of these papers in a practitioner-friendly, accessible way, providing an
examination of the broad theory of RM that is based on comparative advantage in
risk-bearing. He argues that RM benets three aspects of rm value: by reducing the
variability of cash ows and the potential costs of bankruptcy, by reducing the cost
of capital and by reducing taxes. While academics focus on the variance reduction
aspects of RM, he notes that practitioners seem to focus on the avoidance of
“lower-tail outcomes”. Additionally, managerial compensation structures should be
congured such that companies only take advantage of RM opportunities that
increase shareholder value. Finally, if executives are going to place bets due to their
comparative advantage in RM, managerial performance should be evaluated on a
risk-adjusted basis. As a further follow-up, Stulz (2013) sets out the “rst principles”
of RM that emphasize rms’ comparative advantages in risk-bearing, the use of RM
in an integrated fashion to avoid crippling outcomes, its role as a substitute for
equity and the importance of communication in the implementation of RM systems.
Stulz (2015) applies these prescriptions specically to nancial institutions, given
their importance to the health of the nancial system. He notes that better RM
should lead to better risk-taking, and not simply a reduction in risk.
Froot et al. (1993), in their seminal theoretical study, bring an additional perspective
to the discussion, as they consider the benets of hedging relative to external sources of
nance. One of the implications of their paper is that an optimal hedging strategy does
not completely insulate the rm from marketable price risks, consistent with Stulz (1984
and 1996). Another implication is that rms should hedge less when their cash ows are
highly correlated with future investment opportunities. They also note the importance
of non-linear hedging instruments such as options as more precise instruments to
coordinate investment and nancing plans. They also nd that optimal hedging
strategies should also consider the hedging strategies of a rm’s competitors and the
nature of product market competition. Finally, in a fashion similar to Stulz (1996);Froot
et al. (1994) provides a practitioner-oriented discussion of the main implications of Froot
et al. (1993).
Given the normative theoretical prescriptions of early RM theory, Smithson and
Simkins (2005) survey the empirical work that seeks to answer the question of
whether or not RM contributes to rm value. They nd that company share prices
do reect the value of interest rate RM in nancial institutions, but the results are
less clear when examining industrial companies. With regard to variance
minimization, the evidence is strong that rms using RM tools do experience lower
return and cash ow volatility. Finally, the survey examines a group of papers that
57
Risk
management
and rm value

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex