The generalist CEO pay premium and CEO risk aversion

Published date01 October 2023
AuthorLeila Zbib,Kwadwo Asare
Date01 October 2023
DOIhttp://doi.org/10.1002/jcaf.22638
Received: 21 November 2022 Revised: 2 April 2023 Accepted: 14 April 2023
DOI: 10.1002/jcaf.22638
RESEARCH ARTICLE
The generalist CEO pay premium and CEO risk aversion
Leila Zbib1Kwadwo Asare2
1Department of Finance, Bryant
University, Smithfield, Rhode Island,
USA
2Department of Accounting, Bryant
University, Smithfield, Rhode Island, USA
Correspondence
Leila Zbib, Department of Finance, Bryant
University, Smithfield, Rhode Island,
USA.
Email: lzbib@bryant.edu
Abstract
We investigate whether and how managerial risk aversion influences the struc-
turing of the generalist pay premium. We use three candidate variables for
managerial risk aversion: the CEO’s equity portfolio vega, decision horizon, and
wealth. Wefind that equity-based pay differs between generalist CEOs (who have
broader experience spanning several industries) and non-generalist CEOs (who
tend to have narrower, specialized industry-specific experience) based on their
risk appetite. Further, how the generalist paypremium is structured depends on
the risk aversion measure. Because generalist CEOs tend to be better paid than
their counterparts, understanding their risk aversion level will help companies
improve the structure of these CEOs’ compensation packages, and ultimately
those of all CEOs. When vega is the risk aversion measure, CEOs get compen-
sated for bearing risk. However, generalist CEOs with high vegas suffer a “risk
discount” in their compensation. These generalist CEOs are associated with
lower cash, equity, and total pay. CEOs with longer decision horizons get more
equity and less cash, but this structuring does not extend to the generalist CEOs.
Finally, wealthier CEOs get more cash and total pay. However, generalist CEOs
who are wealthier get less cash pay.
KEYWORDS
CEO decision horizon, CEO general ability, CEO pay premium, CEO vega, CEO wealth,
managerial risk aversion
JEL CLASSIFICATION
G35, J24, J33
1 INTRODUCTION
We evaluate the effect of differences in managerial risk
aversion on how the generalist pay premium is struc-
tured. Custódio et al. (2013) find that the generalist CEOs
command a premium in compensation due to several fac-
tors, including generalizability of managerial skills and a
broader variety of professional experiences.
Weconjecture that the effect of risk aversion would man-
ifest in differences in CEO compensation structures across
different settings of measures that are sensitive to man-
agerial risk aversion. Consistent with results of analytical
and empirical models of agency theory, we expect that
firms will reduce the riskier equity portion of pay the more
risk aversion the CEO demonstrates. Similarly, we expect
less risk averse managers to negotiate for greater portions
of equity in their compensation packages. See for exam-
ple, Hall and Murphy 2003; Laffont and Martimort, 2009;
Bolton and Dewatripont 2005.
Custódio et al. (2013) find that the generalist pay pre-
mium is robust to CEO risk aversion. They find that
the generalist CEO pay premium exists for the major
J Corp Account Finance. 2023;34:89–107. © 2023 Wiley Periodicals LLC. 89wileyonlinelibrary.com/journal/jcaf
90 ZBIB and ASARE
FIGURE 1 This figure reports the
coefficients of the components of the generalist
CEO pay premium and equity as a percentage
of total pay by Vegaquintiles from Panel B of
Tabl e 4.The right y-axis is associated with the
bar graphs.
components of pay and for total pay.They use equity-based
pay as a component of total pay as a control variable for
CEO risk aversion and find that their results hold.
In this paper, we add to Custódio et al. (2013) and the
extant literature on CEO compensation by testing how
variations in risk aversion affect the structuring of the gen-
eralist CEO pay premium relative to non-generalists. For
example, it would be informative to know if the effect
of risk aversion on the structuring CEO pay generally,
and the generalist premium particularly, is monotonic, so
that the proportion of equity pay always decreases in risk
aversion.
A related issue in the empirical CEO compensation liter-
ature is the absence of generally accepted measures of CEO
risk aversion. Research and development as well as the
extent of diversification have been used as measures of risk
aversion (e.g., Liu et al., 2021). However, these measures
are structural and tend to persist beyond CEOs.This makes
them unsuitable as measures of individual CEO risk aver-
sion in some settings. While one CEO may alter a firm’s
R&D expenditures or change the extent of diversification
to match their level of risk aversion, others may demon-
strate their risk aversion in more personal ways such as
how much deferred compensation versus cash they nego-
tiate for in their compensation package. We triangulate
on the CEO risk aversion construct with three measures:
volatility in the CEO’s equity options or vega, the CEO’s
decision horizon, and finally the CEO’s wealth.
This paper makes several contributions to the CEO
compensation literature. Since generalist CEOs constitute
some of the highest paid CEOs, understanding how the
generalist premium is structured will enhance researchers’
and policymakers’ understanding of how a significant por-
tion of highly paid CEOs’ pay packages are structured. In
turn, this understanding will help researchers and policy-
makers disentangle the extent to which CEO pay is driven
by efficient contracting (e.g., Baker & Hall, 2004; Gabaix &
Landier, 2008) versus rent extractionand poor governance
(Bebchuk et al., 2002; Bebchuk & Fried, 2003).
Given the important role that equity plays in addressing
the risk aversion problem in designing managerial com-
pensation (e.g., Conyon et al., 2011; Edmans & Gabaix,
2011), differences in risk aversion wouldinfluence how the
pay premium accruing to generalist managers is structured
(e.g., Laffont & Martimort, 2009).
Furthermore, we contribute to the literature on CEO
compensation by providing further empirical evidence
that CEOs’ portfolio vegas and decision horizons can
serve as proxies for their risk tolerances/risk aversion1
(see for example, Coles et al. 2006). Investors and regula-
tors can use these measures as inputs to inferences about
the efficacy of CEO compensation packages. Our results
demonstrate that given the difficulty of measuring risk
aversion, it is best that researchers triangulate to capture
the construct with several measures. Our results suggest
that two of our risk aversion candidates, vega (change in
share price per unit change in volatility) and wealth, do
capture some aspects of risk aversion, while a CEO’s deci-
sion horizon, also captures different dimensions of risk
aversion.
We add to the literature on CEO characteristics, more
precisely on those of generalist CEOs and the frameworkof
their compensation packages. Our results show that gen-
eralist CEOs get less value from their generalist skills the
greater the vega in their compensation. This in turn can
drive a generalist CEO to negotiate for a much greater
proportion of equity pay in their compensation (Hall &
Murphy, 2002, 2003). The empirical evidence depicted in
Figure 1is consistent with this theory.
Because vega evaluates how the share price changes
with a unit change in volatility, it necessarily incorpo-
rates a temporal perspective into an evaluation of a CEO’s
compensation package. Along with the CEO’s decision
horizon, these two measures of risk aversion introduce an

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

Get Started for Free

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex