Assessing the Impact of Risk Management Structure on Financial Firm
Performance: Evidence from Nigerian Services Sector Listed Firms
MARTINS MUSTAPHA ABU
Department of Business Administration,
Nile University of Nigeria,
Plot 681, Cadastral Zone C-OO, Research & Institution Area
Abuja, NIGERIA
ABBAS UMAR IBRAHIM
Department of Business Administration,
Nile University of Nigeria,
Plot 681, Cadastral Zone C-OO, Research & Institution Area
Abuja, NIGERIA
Abstract: -With the advancement in the global economy, corporate risk management has been more impactfully
implemented by firms and equally become a topic of scholarly studies. However, most of these studies are from
different contexts. The purpose of this study is to assess the relationship between enterprise risk management
(ERM) structure and the financial performance of Nigerian listed Services Sector firms from 2010 to 2019. The
study relates risk governance structure to firms financial performance. The ex post facto research design was
adopted, and data were collected from the annual reports and accounts of selected firms with a complete set of
data for the study. From the study population of 25 firms, a final sample of 21 Services Sector firms.
Descriptive and inferential statistics of regression analysis stacked as panel data was employed for data
analysis. The study results revealed that risk management committee had a negative and insignificant
relationship with ROA but significant with Tobin-Q. The size of the audit committee, however, exhibited a
positive and insignificant relationship with ROA but a significant relationship with Tobin-Q. Furthermore, the
study revealed an insignificant negative relationship between board finance experts with all financial
performance (both ROA & Tobin-Q). However, chief risk officer exhibited a positive and significant
relationship with firm performance (both ROA & Tobin-Q). It was, therefore, concluded that although the firms
have structures of ERM governance in place to meet the legal requirement, the innovations aimed at improving
market evaluation are yet to be deeply rooted in the listed services firms in Nigeria. It contributed through
evidence of mixed relationship between risk management structure and firm performance in an under-
investigated context such as Nigeria. It was recommended that the firms should adopt effective risk
management structural practices as a strategy for enduring growth and survival in the face of environmental
complexity. Also, further research is suggested to extend the study by widening the scope and context of the
research.
Key-Words: risk management structure; risk governance; performance; ROA; Tobin-q; Services firms Nigeria
Received: May 17, 2021. Revised: January 27, 2022. Accepted: February 10, 2022. Published: February 21, 2022.
1 Introduction
In recent times business managers are experiencing
critical risk events in managing not just a globally
diversified business but even the small businesses as
well (Rubino, et al., 2017). These events are not
limited to mitigating new technology risk, changing
workforce demographics risk, varied financing
instruments, etc. (Liff, & Wahlstrom, 2018).
However, risk management has become the focus of
many executives who are exploring ways to
measure these risks and better understand their
relationship to the overall business strategy
(Alawattegama, 2018; Jankensgård, 2019; Olson, &
2020). Understanding and managing risk in a
business has been seen as an improvement activity
(Slagmulder, & Devoldere, 2018). However,
irrespective of the effort put into improving business
processes, there is always the risk that something
unanticipated or uncommon may happen that may
impact to a great extent if not all, facets of the
organization. Therefore, to create value for the
stakeholders is to minimize and mitigate the risk of
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DOI: 10.37394/23207.2022.19.60
Martins Mustapha Abu, Abbas Umar Ibrahim
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business failure. This is because risk has become
one of the key important variables that impact the
attainment of the objective of an enterprise
(Niehaus, 2017; Salaudeen, et al., 2018).
One of the primary objectives of an enterprise is to
maximize shareholders’ wealth measured by
performance; and this performance is the capacity of
the enterprise to generate adequate earnings in the
risky environment within which the business
operates (Khan, & Ali, 2017; Bohnert, et al., 2017).
These have become the critical factor for engaging
in risk management. Also, the sources of risk and its
consequences are becoming more difficult to
handle. These range from sudden variations in
demand to the insolvency of a key supplier, from
terrorist attacks to cybercrime, etc. (McShane,
2018). The has attendant threats to the smooth
running of business operations and the
consequences of such risk events are on the increase
(Olson, & 2020). Therefore, for most firms
managing risks is not just desirable, it is essential
because the risks to the smooth running of the
business are not confined to major events.
Therefore, the question of how to manage the risk to
adequately understand their characteristics has
become topmost priority of the firm.
Enterprise Risk Management (henceforth ERM), a
broad approach to risk management, requires the
identification, assessment, and management of risk
in a unified and organized way and it consists of risk
governance and risk aggregation (Ahmed, & Manab,
2016; Linke, & Florio, 2019). It has been considered
as a robust framework to assess and manage the risk
that an enterprise faces in achieving it's objective
and to meet the standard of compliance of the
creditors, rating agencies, regulators, and stock
exchanges (Hoyt, & Liebenberg, 2011; Dugguh, &
Diggi, 2015). ERM is becoming common in
business operations, and it has been embraced as an
avenue to recognize, manage, and mitigate
enterprise-wide risk (Pierce, & Goldstein, 2018;
Ojeka, et al., 2019). Other than being used for
effective management decisions (Hoyt, &
Liebenberg, 2011), ERM could foster more efficient
investment allocation, robust capital structure
decisions, proactive risk management decisions, and
create risk responsiveness, which advances
operational and strategic decision (Ojeka, et al.,
2019).
The dynamic nature of the environment and the
unpredictable wave of globalization have
heightened the risk of firms and has resulted in
declining performances of firms (Ahmed, & Manab,
2016; Slagmulder, & Devoldere, 2018). Studies also
have indicated that the rate at which business
initiatives becomes unsuccessful is remarkably high
because of poor risk management (Karanja, 2017;
Florio, & Leoni, 2017; McShane, 2018). However,
inadequate attention has been given to risk
management because of the associated weak and
ineffective risk management structures and
programmes in most businesses (Kakanda, & Salim,
2017; Yilmaz, & Flouris, 2017; Adegboye, et al.,
2019). Therefore, to effectively manage the earnings
volatility and return the firms to the track of growth
through economic sustainability, there is the need to
encourage the firms to adopt an efficient risk
management model that will mitigate inherent risk
in the environment (Zou et al., 2019). However,
there are limited studies that highlight the problem
of risk management structures and programmes
especially in Nigerian firms (Salaudeen, et al., 2018;
Ojeka, et al., 2019). Most studies are from contexts
outside Nigeria
Therefore, the impact of risk governance structure,
especially Risk Management Committee (RMC),
Audit Committee (AC), Chief Risk Officer (CRO),
and Executive Directors with financial expertise on
the performance of quoted firms in Nigeria need to
be examined to curtail the surge of distress and
collapse. This is because the firms’ directors and
management are responsible for the execution and
monitoring of the risk management programmes by
determining how they should be incorporated into
the day-to-day activities of the firm. Their presence
in a firm is assumed that there is an ERM
governance framework in place to ensure adequate
resources are deployed to improve risk management
systems that can positively impact the firm’s
performance.
1.1 Research Objective
This study seeks to assess the impact of ERM
governance structure on the performances of listed
services firms in Nigeria. The specific objectives are
to:
i. Ascertain the effect of the Risk
Management Committee on the
performance of quoted firms in Nigeria.
ii. Determine the impact of the Audit
Committee on the performance of quoted
firms in Nigeria.
iii. Examine the impact of the Financial Experts
on the board on the performance of quoted
firms in Nigeria.
iv. Establish the effect of the existence of Chief
Risk Officer on the performance of quoted
firms in Nigeria.
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1.2 Research Questions
i. To what extent has the Risk Management
Committee influenced the performance of
listed firms in Nigeria?
ii. Has the Audit Committee significantly
affected the performance of listed firms in
Nigeria?
iii. Does the number of Financial Experts on
the board significantly impact the
performance of listed firms in Nigeria?
iv. Does the presence of Chief Risk Officer
have an impact on the performance of listed
firms in Nigeria?
1.3 Research Hypothesis
Therefore, to attain the objective of this study, the
study hypothesizes that:
i. H01: Risk Management Committee has
no significant effect on the performance
of the listed firms.
ii. H02: Audit Committee has no
significant effect on the performance of
listed firms.
iii. H03: The proportion of Financial
Experts on the board have no significant
influence on the performance of listed
firms.
iv. H04: Chief Risk Officer has no
significant influence on the
performance of listed firms.
1.4 Motivation for the Study
This study is motivated by several attributes of the
services sector. The sector occupies a crucial
segment in every economy yet with little or no
attention being given by researchers in ensuring
their survival and growth. Since the services
industry also plays a very significant role in
providing labour to the teeming population, ERM
has long been accepted by most countries including
Nigeria to be one of the easiest ways of combating
risk-related issues and improving an attractive
investment climate to achieve this laudable
objective. The findings from this study are expected
to theoretically and practically contribute to the
various stakeholders. This study will add to the
extant literature and attempt to contribute to
narrowing the identified gaps in the discourse of
firms’ risk governance practices in Nigeria
The remaining segments of this paper are organized
as follows. Section 2 reviews the conceptual,
theoretical, and empirical literature on ERM and
firm performance focuses on the concept of risk
management. Section 3 describes the methodology
adopted, whereas Section 4 focuses on both the
results and the discussion of findings. Section 5
covers the conclusion of the study.
2 Literature Review
2.1 Conceptual Framework of Enterprise
Risk Management (ERM)
Risk has become a frequent occurrence in every
aspect of our lives and as such, there is no place
devoid of risk in the world (Eryilmaz 2018). It has
become paramount for businesses to detect and
manage risks to reduce their outcomes (Dugguh, &
Diggi, 2015). Varied research alternatively uses the
terms “Corporate Risk Management”, “Business
Risk Management”, “Holistic Risk Management”,
“Enterprise-wide Risk Management”, “Integrated
Risk Management” and “Strategic Risk
Management” these terms are synonyms to ERM.
Currently, there is no agreed definition of ERM
(Eryilmaz 2018). Nevertheless, the Committee of
Sponsoring Organizations (COSO) has defined
ERM as “a process, put in place by an entity’s
board of directors, management and other
personnel, applied in strategy setting and across
the business, aimed at identifying potential events
that may affect the entity, and manage risks to be
within its risk appetite, to provide reasonable
assurance regarding the achievement of the firm’s
objectives” (Almeida, et al., 2019).
The awareness about ERM was relatively low prior
to the COSO initiative which resulted in the
formulation of a comprehensive ERM framework
to aid management in improving the risk
management processes of their firms. COSO is a
collective initiative of five organizations based in
United States aimed at addressing corporate risk.
The COSO provided the guiding framework for
executive management on the governance
structure, internal control, risk and fraud (Corelli,
2019). Its components assist the firms to manage
their risk with the intent of providing reasonable
assurance on the attaining of the firms’ objectives
(Stein, et al., 2019; Panfilo, 2019).
ERM has evolved as a strategic tool for businesses
with a broader scope and has become part of
corporate philosophy both for practitioners and
academia (Rubino, et al., 2017; Liff, & Wahlstrom,
2018). In the process of implementing ERM
programmes, the COSO stresses the mechanisms of
objective setting, risk identification, risk assessment,
risk response, internal control environment, the
involvement of management, sections/units, and all
lines of directors within an organisation
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(Bogodistov, & Wohlgemuth, 2017; McShane,
2018). It equally accentuates the implementation of
the ERM framework by firms being dependent on
the scope of the existence of enabling laws and
regulations, coupled with the listing standards and
the effectiveness of the corporate governance
practice being instituted by the firms. Thus, the
effective implementation of any ERM framework
rests on the presence of an audit committee, risk
management committee, chief legal officer, chief
risk officer, the rules and regulations by the
regulatory bodies and the size of the enterprise
(Karanja, 2017; McShane, 2018).
2.2 Concept of Performance
Performance measurement concept refers to the
method and practices of measuring the firm’s
efficiency and effectiveness (Landy, et al., 2017).
This performance measurement is essential for the
effective management of the firm (Inkinen, 2016;
Sutrisno, 2019). Many methods have been advanced
by scholars and practitioners for the measurement of
performance. Prominent and the most used is the
accounting-based (backwards-looking) method of
performance measures such as the Profit Margin
(PM), Return on Equity (ROE), Return on Asset
(ROA), Return on Investment (ROI), Dividend
Yield (DY), Earnings Per Share (EPS), etc.
(Shaverdi, Ramezani, Tahmasebi, & Rostamy,
2016; Wang, et al., 2018; Durst, et al., 2019).
Another method of performance measurement is the
market-based measurement which is regarded as a
long-term measure among which is Tobin-Q. The
market-based measurement is depicted by its
forward-looking characteristics, and it reflects the
anticipations by the shareholders on the firm’s
future performance which has its basis on previous
or current performance (Shah, & Hussain, 2012).
In theory, studies have revealed that the historical-
based measurements like ROA, ROE, profit margin
and others are used for the short-term performance
of the corporation, while on the other hand, the
market-based performance of the firm measures
performance through Tobin’s Q; a representation of
future long-term performance (Florio, & Leoni,
2017). These measures of performance have been
employed by past studies in relation to
organizational performance. This study, therefore,
seeks to investigate the significance of the firm’s
ERM on listed firms’ performance.
2.3 Theoretical Framework
The agency theory by Berle and Means, (1932)
serves as the theoretical underpinning for this study.
Agency theory emphasized the need for resolution
of the conflict of interest between the principal
(shareholders) and the agents (managers) by
improving monitoring mechanisms such as
institutional governance, ERM, and effective
internal control system (Jensen, & Meckling, 1976).
Agency theory serves as the interaction between the
principal and the agent in ensuring that the business
achieves its corporate objective. It stressed the need
for the firm to resolve conflict in reaching its
objective of improving performance and
maximizing shareholders' value through ERM
practices as managers take decisions involving risk
on behalf of the shareholders (Salaudeen, et al.,
2018).
2.4 Empirical Review of the relationship
between ERM and Performance
Literature is repleted with numerous studies on the
impact of ERM on firm performance and value.
Some studies went as far as to evaluate the issue of
risk management structure and aggregation and have
arrived at varied conclusions.
From the results of studies that used OLS
regression, Callahan and Soileau, (2017) examined
the impact of ERM on firm performance. The study
used OLS regression analysis on three years of
financial data (2006 to 2008) of the companies
sourced from U.S. based publicly traded firms. The
findings of their study revealed that ERM has a
significant positive relationship with firm
performance. Malik, et al, (2020) followed the
models of previous works and examined the
influence of ERM on firm performance by
investigating whether firm performance is
strengthened or weakened by the setting up of a
board-level risk committee, a vital governance
process that oversees ERM processes. Also found
strong BLRC governance balances this relationship
and increases the firm performance impacts of
ERM. However, instruments are weak indicating a
possible omission of variables.
From the perspective of how specific companies
carry out ERM programmes, Chen, et al, (2019)
examined 68 Taiwan firms compiled by TWSE
from 2001 - 2016. The result indicated that those
financial companies that implemented ERM
benefited by adding a 5.37% value in comparison to
non-users. Therefore, ERM acceptance also
significantly aided firms to improve their revenue
and cost efficiencies up to 9.22% and 16.34%,
respectively. Farrell and Gallagher, (2019) focused
on performance implications of ERM development
on firms and used more explicit firm characteristics
that serve to engender or constrain the performance
implications. Their findings revealed that ERM
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maturation increases firms’ value and return on
assets and the influence is moderated by stakeholder
related variables such as the intensity of innovation
and knowledge focused industry structures.
To address the problem of heteroscedasticity, Florio
and Leoni, (2017) studied the relationship between
the extent of implementation of ERM systems and
performance of 154 Italian listed firms on the Milan
Stock Exchange from 2011 to 2013. The study used
panel data analysis to resolve the issue of error bias
and endogeneity, Results indicated that firms with
advanced levels of ERM implementation exhibited
higher performance, both in the financial
performance and market evaluation. The study
recommended that this should be extended to other
contexts
It was in the same vein that, Kaya, (2018) examined
the effectiveness of internal control and ERM on the
firms’ value creation and revealed that firm
performance and value are enhanced by high-quality
ERM adoption and implementation. Also, Silva and
Chan, (2019) extended this study and investigated
the association between ERM and firm value and
indicated a positive association between firm value
and practice of ERM programme.
From the Nigerian context, Salaudeen, et al. (2018)
focused on the listed consumer sector firms and
revealed inconclusive results while, Ojeka, et al.,
(2019) examined the impact of CFO roles in the
implementation of ERM initiatives from a sample of
Nigerian financial sector firms. Highlighting a
minimal impact. The study, however, shows
possible omission of variables. Also, the studies
from Nigeria have considered only the performance
of firms using ROA as against Tobin-Q, which is
regarded as a preferred measure of firm value.
Zemzem and Kacem, (2014) revealed that having a
risk management committee in the institution has a
significant negative consequence on performance.
Likewise, Danisman and Demirel, (2019) studied
combined the effect of firms’ risk management
strategies, like financial, operational, on their value
in the context of an emerging market, their results
revealed that none of the three risk management
strategies increase firm value. Jonek-Kowalska,
(2019) investigated the impact of ERM on
companies’ efficiency in a comparative analysis of
Central-European firms. The result revealed that
with the adoption of ERM systems, none of the
studied companies translated into clear stabilization
of financial results and enterprise value.
3 Methodology
This study adopts a positivist paradigm which calls
for the collation and analysis of quantitative data in
line with objectivism and ontological realism. The
ex post facto design research method in line with
previous by Salaudeen, et al. (2018) was used. The
emphasis was to explain the relationship between
the variables as it has occurred in the past and there
will be no manipulation/treatment of the
independent variables used in the study.
The services sector listed firms on the Nigerian
Exchange (NGX) was the target population. There
are 168 firms listed in NGX as at 31st December
2020. The services sector has a total number of 25
firms. The sample was a complete enumeration of
the entire services sector firms. We, however,
selected 21 firms that have a complete set of data
from the entire 25 services listed firms. The data for
the research work was obtained from secondary
sources. The data for this study are secondary data
sourced from annual reports and accounts of the 21
firms in the services sector of the NSE covering a
period of 10 years starting from 2010 to 2019. The
motive for choice of the years was that the
governance guidelines were introduced in 2003.
Seven years later, that is 2010, was considered an
appropriate time of period, in which firms that had
adopted the practices would have shown some
changes as a fallout of the implementation of the
risk management practices. This period was chosen
because it would reflect the risk management
practices of firms after the coming into full effect of
some of the governance codes of risk management
is an integral part. The data for the criterion variable
is derived from the computation of ROA derived
from the NSE factbooks and Tobin-Q ratios from
the Thomson Reuters’ DataStream. The descriptive
and inferential statistics using panel data analysis
aided by e-view software was used to examine the
impact of ERM governance on the performance of
Nigerian services sector listed firms. The Panel
Regression Method is used when the data exhibit
cross-sectional and time-series features a similar
method was employed in studies by Florio, and
Leoni, (2017).
The reliability checks of the research data collected
for this study were enhanced using only published
annual reports of selected firms obtained from well-
recognized sources; the NSE fact books and
Thomson Reuters’ DataStream. These sources are
identified among the most appropriate data sources
for this study and fulfilled all the assessment
criteria. This is because of low risk of bias or error
in the values, as data have been provided by
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independent sources rather than originated by the
researcher.
3.1 Study Variable Measurement and Model
Specification
The following measurements were employed to
examine the impact of ERM on financial
performance.
The model predictor variables are:
i. Risk Management Committee (RMC): to
be measured as (1) for the presence and (0)
absence
ii. Audit Committee (ACOM): to be
measured as the size of the audit
committee on the board
iii. Financial Expertise (FIN EXP): to be
measured as the proportion of directors
with accounting/finance background or
relevant professional certification
iv. Chief Risk Officer (CRO): to be measured
as (1) for the presence and (0) non-
existence
While the criterion variables are:
i. Return on Assets (ROA):
 
 
ii. Tobin-Q:


Because the study is structured using a regression
model. The model by Salaudeen, et al., (2018) was
adapted for this work as specified below.
ROA = β0 + β1 RMC + β4AC + β2 + FIN.EXP +
β3CRO + e …. (1)
TQ = β0 + β1 RMC + β4AC + β2 + FIN.EXP +
β3CRO + e …. (2)
Where:
β0 = constant
β1-4 = coefficient of the explanatory
variables
RMC = Risk management committee
ACOM = Audit committee
FIN.EXP = Financial expertise
CRO = Existence of chief risk officer
e = error term
4 Results and Discussion
To enable the study to use regression analysis,
which allows for an assessment of whether one or
more predictor variables explain the dependent
(criterion) variables, the data were tested for the key
assumptions of regression analysis and the results
are okay.
Table 1 presents descriptive statistics for the
dependent and independent variables, the sampled
firms present low operating profitability on average,
as mean ROA is equal to 0.8%, because, some firm-
year observations recorded strong negative
performances. Also, the median for ROA is equal to
2.7%. However, the mean for Tobin-Q is negative (-
6.4%) and the median is 0.8%, signalling low
performance in market evaluation and the
replacement cost of assets.
4.1 Descriptive Statistics
Table 1. Summary statistics for performance and
control variables.
Variables
Mean
Min
Max
RMC
0.191
0
0.75
AC
0.381
0.2
0.8
FIN_Exp
0.660
0
1
CRO
0.760
0
1
ROA
0.008
-1.196
0.359
TQ
- 0.064
-0.987
1.03
Source: Authors computation (2021)
With reference to the test variables, the audit
committee is present in just 38.09% of our sample,
indicating the small diffusion of the officer in
Nigeria. The finance experts on the board are more
present, with more than 66% of firms with a
dedicated risk committee. Most of the sampled firms
have chief risk officers with a mean of 76%, as
recommended by the Nigerian CG code. Only
19.06% of firms have a risk management
committee. This finding is the same as that of
Salaudeen, et al., (2018) who found an average of
95% risk management committee, 41% financial
experts and 28% chief risk officer presence in the
consumer goods subsector. However, this result
could have been a result of the absence of risk
governance in some firms in the beginning period
under study. It is noteworthy that the Nigerian
government had through the capital market regulator
announced the corporate governance codes
stipulating the setting up of risk management
committee and audit committee were recommended.
4.2 Hausman Test Result
This test enables the study to decide the appropriate
models to use for the panel data analysis. The
Hausman specification test was for the comparison
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of the estimates results of the fixed and random
estimators; the standard is that; there is a null
hypothesis of random effect model and the other an
alternative hypothesis of fixed effect, therefore, this
test enables the study to decide the appropriate
models to use for the panel data analysis.
Table 2. Hausman test result
Model 1
Model 2
Asymptotic test statistic:
Chi-square(4) = 24.179 with
p-value = 0.00
Chi-square(4) = 3.550 with
p-value = 0.470
Source: Authors computation (2021)
The results of the test are presented in Table 2. In
model 1, with a p-value being 0.000, which is less
than 0.05, the study accepts the alternative
hypothesis at a 5% level of significance. This
informed the use of the fixed-effect model in this
study for Model 1.
On the other, in model 2 with a p-value of 0.470
which is more than 0.05, the study failed to reject
the null hypothesis at a 5% level of significance.
This however informed the use of the random effect
model in this study for Model 2.
4.3 Evaluation of Estimated Models
Parameters:
The estimated parameters of the models are
evaluated in two stages. In the first stage, the signs
or directions of effects of variations in the relevant
ERM variables on performance are discussed vis-a-
vis a priori expectations. The second stage is the
determination of significance or otherwise of the
effects of ERM variables on performance, that is,
the extent to which the ERM variables explain
changes in performance. This second stage of the
evaluation enriches the decision to accept or reject
the research hypothesis. The significance of the
isolated and joint effects of ERM on performance is
evaluated using the t-statistic and F-statistics
respectively. The significance is considered at the
5% level. While the degree to which the ERM
variable explains performance dynamics is
determined using the coefficient of multiple
determinations (R-squared).
In table 3, for model 1, the R square is 0.480 which
indicates that the data explained the dependent
variables (ROA performance) in this model up to
47%. It can be inferred from the value of the F-
statistics 20.500 with a p-value is 0.000 that the
variables are fit and suitable for the model.
Tables 3. Output Summary
Regression Statistics
Model
1
Model
2
Mean dependent Var
0.008
0.064
S.D Dependent Var
0.187
0.297
Sum Squared Resid
4.260
9.142
R Square
0.480
0.504
Adjusted R Square
0.456
0.482
Standard Error
0.144
0.214
F (9,200)
20.500
22.598
P-value (F)
0.000
0.000
Log-Likelihood
111.285
31.118
Durbin-Watson
1.560
1.499
Source: Authors computation (2021)
Also, the R square model 2 is 0.504 which indicates
that the sample data also explained the dependent
variables| (Tobin-Q performance) in this model up
to 50.42%. it can also be concluded from the value
of the F-statistics 22.598 and a p-value of 0.000 that
the variables fit and suitable for the model.
4.4 Test of Hypotheses
For the test of the hypotheses, the decision rule is as
stated below: When the probability associated with
the computed t-statistic is less than the specified
significance level of 5%, the effect is significant.
That is, if the prob (t-statistic) < 0.05 it is
significant. Otherwise, it is insignificant, that is if
the prob (t-statistic) > 0.05.
Table 4a. Regression Estimates for Model 1: Fixed-
effects, using 210 observations Dependent variable:
ROA
Variables
Coefficient
Std.
Error
t-ratio
p-value
const
-0.201
0.039
-5.1164
0.000***
RMC
-0.126
0.047
-0.9
0.0079**
AC
0.102
0.091
1.1179
0.264
FIN_Exp
-0.02
0.026
-0.7684
0.443
CRO
0.274
0.023
11.75
0.000***
Source: Authors computation (2021)
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In table 4a the estimated value of the intercept (βo=-
0.201) conforms to the expectation that a negative
level of performance is attainable when the firms do
not comply with the ERM structural practices. This
is shown in figure 1.
Fig. 1: Regression Residual for ROA
Table 4b. Regression Estimates for Model 2:
Random-effects, using 210 observations: Dependent
variable: Tobin-Q
Variables
Coefficient
Std.
Error
t-ratio
p-value
const
-0.480
0.058
-8.129
0.000***
RMC
-0.347
0.128
-2.721
0.0071**
AC
0.437
0.156
2.790
0.0058**
B_FINEXP
-0.017
0.050
-0.342
0.7234
CRO
0.432
0.038
11.480
0.000***
Source: Authors computation (2021)
Also, from table 4b, for model 2, the estimated
value of the intercept (βo=-0.480) follows the
expectation that a negative level of performance is
achieved when the firms do not comply with
practices of ERM. See figure 2.
Fig. 2: Regression Residual for Tobin-Q
Statement of Hypothesis One
HO1: Risk Management Committee has no
significant effect on the performance of the Nigerian
listed services firms
Risk Management Committee (RMC) and return on
assets (ROA): Model 1 in table 4a, reveals β = (-
0.126), and p-value = 0.0079 at the 5% level of
significance. This implies that there is a negative
and statistically significant relationship between
RMC and ROA. Therefore, the alternative
hypothesis is accepted.
Risk Management Committee (RMC) and Tobin-Q:
Model 2 in table 4b, reveal β = (-0.347), and the
associated p-value = 0.0071 shows that there is a
negative and statistically significant relationship
between RMC and Tobin-Q, therefore, the
alternative hypothesis is also accepted.
These conclude that the risk management committee
has a positive and negative variation for ROA and
Tobin-Q. However, it exhibits a significant
relationship with the performance of services sector
firms in Nigeria. From the result of the data
analysis, the existence of risk management
committee has positive and significant impact on
accounting-based performance this finding is in line
with those of Karanja, & Rosso, (2017); Bailey,
(2019). On the other hand, the result is in support of
the findings of Zemzem, and Kacem, (2014), whose
study indicated a negative but significant effect of
risk management committee on performance.
However contrary to the findings by Malik, et al.,
(2020).
Statement of Hypothesis Two
H02: Audit Committee has no significant effect on
the performance of Nigerian listed services firms.
Audit Committee (AC) and return on assets (ROA):
from table 4a, the results of model 1, shows β
=0.102, and p-value = 0.264 this depicts AC has a
positive but statistically insignificant relationship
with ROA. Therefore, the study failed to reject the
null hypothesis.
Audit Committee (AC) and Tobin-Q: from table 4b,
model 2, has β =0.4365, and a p-value =0.0058.
This shows that there is a positive and statistically
significant relationship between AC and Tobin-Q.
Therefore, the study accepts the alternative
hypothesis.
The above results of the relationship are mixed and
inconclusive between audit committee and
performance of services sector firms in Nigeria,
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these results support the findings by Iswajuni, et al.,
2018; Zungu, et al., 2018; Muslih, 2019 and Busru,
et al., 2019.
Statement of Hypothesis Three
H03: The proportion of Financial Experts on the
board have no significant influence on the
performance of Nigerian listed services firms.
Financial Experts (B_FINEXP) and return on assets
(ROA): from table 4a, model, 1 β = (-0.020), with a
p-value = 0.443. This indicates a negative but
statistically insignificant relationship between
(B_FINEXP) and ROA. Therefore, the study failed
to reject the null hypothesis.
Financial Experts (B_FINEXP) and Tobin-Q: table
4b model 2, with β = (- 0.017) and p-value = 0.732.
This depicts a negative and statistically insignificant
relationship between (B_FINEXP) and Tobin-Q.
also, the study failed to reject the null hypothesis.
It concludes that there is a negative and insignificant
relationship between financial experts on the board
and the performance of Nigerian services sector
firms. This is in tandem with the findings of Hoyt
and Liebenberg (2008), Shima et al (2013) and
Kallamu (2015) but is different from that of Saeidi,
et al., (2019).
Statement of Hypothesis Four
Ho4: Chief Risk Officer has no significant influence
on the performance of Nigerian quoted services
firms.
Chief Risk Officer (CRO) and return on assets
(ROA): in table 4a model, 1 with β =0.274, and p-
value = 0.000. This indicates that there is a positive
and statistically significant relationship between
CRO and return on assets (ROA). Hence, the study
accepts the alternative hypothesis.
Chief Risk Officer and Tobin-Q: from table 4b, the
prediction model 2, β = 0.432 and p-value = 0.000.
This also, reveals a positive and statistically
significant relationship between CRO and Tobin-q.
Hence, the study accepts the alternative hypothesis.
Therefore, it concludes that there is a positive and
significant relationship between chief risk officer
and the performance of Nigerian services sector
firms. This finding is supported by Karanja, &
Rosso, (2017); Bailey, (2019); and Girangwa, et al.,
(2020).
4.5 Diagnostic Test
To ensure the validity of the findings and examine if
data were normally distributed and cross-sectional
dependency exists in the empirical results, the
following tests were conducted
i. Normality Test:
The normal distribution test result for this study is
as presented in table 5. The analysis of the skewness
and kurtosis indicates that most of the variables used
in this study are normally distributed.
Table 5. Normality test statistics
Model 1
Model 2
Test for null hypothesis of
normal distribution: Chi-
square (2) = 117.115 with
p-value 0.000
Test for null hypothesis
of normal distribution:
Chi-square (2) = 40.786
with p-value 0.000
Figures 3 and 4 reveal the normality plots
Fig. 3: Normality Plot for Model 1
Fig. 4: Normality Plot for Model 2
ii. Test for Multicollinearity:
In order to test the assumption of regression
analysis, the test for multicollinearity was carried
out. The reason for testing for multicollinearity test
is to avoid misleading regression results. The
-80
-60
-40
-20
0
20
40
60
-30 -20 -10 0 10 20 30
Normal quantiles
Q-Q plot for uhat1
y = x
-8
-6
-4
-2
0
2
4
-4 -3 -2 -1 0 1 2 3 4
Normal quantiles
Q-Q plot for uhat3
y = x
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684
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nonexistence of multicollinearity is indicated when
the variance inflation factor (VIF) obtained is
greater than 1 and below the benchmark of 10.
Table 6. Variance Inflation Factors
RMC
1.075
AC
1.633
FIN_Exp
1.568
CRO
1.01
Values > 10.0 may indicate a collinearity
problem
The result of the VIF as shown in table 6 revealed
that all the explanatory variables are significant to
the study, with a value greater than the minimum
possible value of VIF 1 and below the upper
acceptable limit of 10, this is the non-existence of
multicollinearity. Therefore, it is assumed that all
the variables are appropriate and fit well into the
model.
iii. Heteroscedasticity and Cross-sectional
Dependence Tests.
Table 7. White's test for heteroscedasticity
Model 1
Model 2
Test statistic: TR^2 = 64.548092,
Test statistic: TR^2 = 53.142925,
with p-value = P (Chi-square (12) >
64.548092) = 0.000000
with p-value = P (Chi-square (12) >
53.142925) = 0.000000
In this study, data are said to be free when the
probability of Chi-square is >0.05. Table 7
shows that the probability of Chi-square of
White test is 64.548 for model 1 and 53.1429
for model 2 which are >0.05. Thus, accept that
the regression data model is free of
heteroscedasticity.
5 Conclusion
This study examines the implementation of risk
management structural systems of the ERM and its
impact on both the accounting-based performance
and market evaluation from the Nigerian services
sector listed firms. Therefore, it is patterned on a
rather new line of a sectoral focus study examining
whether increased attention towards corporate risk
management structure demonstrated by the creation
of chief risk officers and committees with the
adoption of certain structural configurations
impacted firm performance. The finding revealed
that the implementation of a corporate risk
management structure could enhance the
performance of firms in the services sector of the
Nigerian economy. This finding implies that the
proper implementation of this model to manage all
the risks of the organization could enhance the
extent to which the firms’ objectives are attained
and maximise the wealth of the stakeholders are
met.
While the existence of audit committee and
financial expertise on the board, exhibits
insignificant impact on ROA performance. On the
other hand, risk management committee, audit
committee and chief risk officer have a significant
impact on market evaluation as reflected in the
Tobin-Q. However financial experts on the board
have insignificant with Tobin-Q. Audit Committee
has a positive significant impact on firm
performance. The existence of the financial experts
on the board has an insignificant impact on the
performance of listed services firms.
In summary, the results of the findings reveal
further evidence that some of the ERM governance
variables considered in the analysis exhibited low
influence in explaining variations in the
performance of the firms. This suggests that
innovations in risk management practices in the
services sector in Nigeria are still at a shallow stage.
However, the study offers new insights on the
determinants of the performance through the ERM
governance structure aside from the ERM
sophistication, among the many other mechanisms,
which are asserted to foster an integrated and
holistic approach to risk management. Especially,
the study validates the importance of the overall
integration of risk management tasks in corporate
governance. This study contributes it provides
evidence of a mixed relationship between risk
management structure and firm performance in an
under-investigated context such as Nigeria
5.1 Recommendation and Limitation
The following recommendations are based on the
finding that the regulatory bodies and other relevant
establishments are enjoined to reevaluate and
increase their supervisory role with the view to
strengthen the risk management structure and
process. Also, issue of risk management should be
not be treated with levity at every level of the firm
to give a reasonable assurance.
The study is not limitations-proof, which also
presents a new avenue for further research on the
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Volume 19, 2022
relationship between ERM and performance. First, a
larger sample empirical study may provide
compelling evidence on whether and how certain
features of ERM affect firm performance.
Furthermore, even though anchored on previous
studies and effective practice on risk management,
the variables selected to define ERM are to some
extent representative of just some possible ERM
mechanisms. As a result, the study restricted the
analysis to the presence of a CRO, audit committee,
finance experts on the board and a risk committee
therefore, further analysis may focus on their
specific characteristics, e.g., CRO experience,
knowledge and power, risk committee experience,
their meetings frequency and chief finance officer’s
roles. While Future studies are suggested to extend
the study by widening the scope and context of the
research.
Acknowledgements:
We want to acknowledge the Nile University of
Nigeria for the provision of enabling environment
for this research.
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
1. Abbas Umar IBRAHIM, Ph.D. Supervision,
Conceptualization, Methodology, Discussion,
Conclusion & proofreading.
2. Martins Mustapha ABU Writing-Original Draft,
Literature Review & Data Analysis
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
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WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.60
Martins Mustapha Abu, Abbas Umar Ibrahim
E-ISSN: 2224-2899
689
Volume 19, 2022