Effect of Internal Audit Quality on the Financial Performance of Insurance Companies: Evidence from Kosovo 

Ardi Ahmeti1
Skender Ahmeti2*
Muhamet Aliu3

1,2,3Economic Faculty, University of Prishtina, Prishtina, Kosovo.

Abstract

The study aims to investigate the effect of internal audit quality on the financial performance of insurance companies operating in Kosovo. To measure financial performance the ratio between net profit and total assets (ROA) is used. The data are taken from the 6-month financial statements of these companies for the period 2015-2021. The independent variables were internal audit standards, professional competence, independence of the auditor, and efficiency of the internal audit. In addition, three control variables were included (company growth, company size, and company age). The results of the study show that professional competence has a significant positive impact on financial performance, while the effectiveness of internal audits negatively impacts the financial performance of insurance companies. Regarding the control variables, the size of the insurance company has a strong positive correlation, in contrast to the age of the company, which has a negative and significant impact on the financial performance of insurance companies in Kosovo. The study recommends that insurance companies pay special attention to the effectiveness but also the independence of the internal auditor due to the negative impact they can have on financial performance. The findings of the study may be of interest to many different stakeholders, both inside and outside insurance companies, to improve the effectiveness and increase the independence of internal audits.

Licensed:
This work is licensed under a Creative Commons Attribution 4.0 License.

Keywords:
Audit quality
Financial performance
Internal auditing
Insurance companies
Kosovo.

JEL Classification:
M40, M42.

Received: 14 March 2022
Revised:  21 April 2022
Accepted: 6 May 2022
Published: 20 May 2022

(* Corresponding Author)

Funding: This study received no specific financial support

Competing Interests:  The authors declare that they have no competing interests.

1. Introduction

The insurance market in Kosovo arose later than that of other countries. In its current form, the Kosovo insurance market began to develop immediately after the end of the war in Kosovo. In 2011 the number of insurance companies reached a high of thirteen, three of which also offered life insurance. Today, the number of insurance companies is twelve, due to one of these companies losing its license. All these companies have installed an internal audit procedure, a requirement of the Central Bank of Kosovo as documented in applicable laws. In the 2016 Regulation on Internal Audit for Insurance Companies Operating in Kosovo, the Central Bank of Kosovo provided the same definition of the internal audit function as the Institute of Internal Auditors, which defined the internal audit as an independent, objective, and advisory activity, created to add value and improve an organization's operations (IIA, 2017). The internal audit process is part of the ongoing monitoring and internal controls of insurance companies’ activities and ensures an independent assessment of compliance with the insurance company’s established policies and procedures. As such, the internal audit process assists senior managers and the board of directors in carrying out their responsibilities effectively and efficiently. Every insurer must have an internal audit process in place to fulfill its duties and responsibilities. The internal audit function should, moreover, be independent of the audited activities and day-to-day internal control processes (http://bqk-kos.org).

2. Literature Review

Audit quality is an active, dynamic concept, with factors that change over time and from country to country. DeAngelo (1981) defined audit quality as the “market-assessed joint proba­bi­lity that a given auditor will both detect a breach in the client’s accounting system, and report the breach”. Audit quality is vital for companies to achieve efficient and effective re­source mana­gement because it can lead to rapid improvements in the company's finan­cial per­formance. Audit­ quality is an essential element in maintaining the financial performance of companies in general. This is the main purpose of establishing and strengthening the internal audit function of insurance companies. Based on the definition of internal audit put forward by the Institute of Internal Audi­tors, audit quality focuses first on providing independent assurance that an orga­ni­zation's risk management, governance, and internal control processes are operating effectively.

Conceptually, various determinants and factors affect audit quality. These factors are classified into factors that directly affect the quality of the audit (financial repor­ting according to IAS, auditor quality review, company performance, profit quality, etc.) and factors that indirectly affect the quality of the audit (audit firm size and chara­c­te­ristics of the audit company, audit mandate, audit fees, auditor inde­pen­dence, auditor competencies, etc). Because many of these charac­teristics are un­clear, various researchers have used various measures of audit quality. Some studies have used the size of the audit firm, auditor experience, audit fees, auditor rotation, and auditor independence as indicators of audit quality (Matoke & Omwenga, 2016; Yi-Fang, Yang, & Lee, 2015). Several studies have emphasized the impact of audit quality on the quality of corporate gover­nance (Moses, Ofurum, & Egbe, 2016; Zalata, Tauringana, & Tingbani, 2018), while others have pre­sen­­­ted empirical results on the effect of audit quality on financial performance (Amin, Lukviarman, Suhardjanto, & Setiany, 2018; Bilal, Chen, & Komal, 2018; Surbakti, Shaari, & Bamahros, 2017) . Several other studies have been conducted on the role, function, and characteristics of the internal auditor, as well as his role in the finan­cial structure of various companies (Cohen & Sayag, 2010; Hutchinson & Zain, 2009; Lin, Pizzini, Vargus, & Bardhan, 2011; Prawitt, Smith, & Wood, 2009) . Other researchers have identified different metrics as represen­tative of audit quality, indica­ting that higher audit quality affects financial perfor­man­ce (Bouaziz & Triki, 2012; Farouk & Hassan, 2014; Heil, 2012; Zureigat, 2011) .

Another study analyzed the impact of audit quality on financial performance based on se­condary data, mostly from financial statements. In general, return on assets is taken as a dependent variable for measuring financial perfor­mance, while the independent variables are the size of the audit committee, audit independence, audit activity, quality of the external audit (Afza & Nazir, 2014), num­ber of shares owned by different shareholders, age of the company, independent board members and institutional investors, audit fees and rotation of audit firms (Sayar, 2018), audit size, audit fee, and growth rate (Adams & Zhou, 2018).

Most research on the impact of internal audit quality on financial performance has been based on indi­vi­dual surveys of respondents (Dahir & Omar, 2016; Dellai & Omri, 2016; Matoke & Omwenga, 2016) . All these studies researched the impact of internal audit quality on the financial performance of the organization by distributing surveys to a significant number of respon­dents.

Barzan (2018) investi­gated the factors that affect internal audits and their relationship with organi­za­tional performance. Multiple regression was used to assess the degree of impact of the independent variables identified in the conceptual framework on organizational performance. Ahmad (2018), using a sample of 364 employees, exami­ned the effect of internal audits on the organizational perfor­mance of leading Jordanian banks. Various researchers have investigated the impact of internal audit quality on the financial performance of commercial banks in different countries.

El-Gharboui and Chraibi (2021), measuring the impact of internal audits on the financial perfor­mance of manufacturing companies in Nigeria, took as their independent variables the independence of the internal auditor and the internal audit committee and concluded that the quality of the audit positively and significantly affects financial performance. They also cite (Hazaea, Tabash, Khatib, Zhu, & Al-Kuhali, 2020), who conducted a study on the impact of internal audit quality on the financial performance of Yemeni commercial banks, with the independent variables of internal auditor inde­pendence, compliance with internal audit standards, application of the principles of gover­nan­ce, size of department internal audit, and frequency of audit committee meetings, concluding that the quality of internal audits has a positive and significant effect on financial performance (El-Gharboui & Chraibi, 2021). Phan, Lai, Le, and Tran (2020) conducted a comprehensive analysis of the effects of audit quality on the financial performance of companies in Vietnam, sampling 228 different companies. Their results show that audit quality positively affects the financial performance of companies, especially the loyalty and satisfaction of those companies’ customers and employees.

3. Research Methodology

The current study is based on a survey research model and involves using a questionnaire to obtain the opinion of respondents. This research design involves analyzing information collected from the study population, which consists of the eleven (11) insurance companies operating in Kosovo: Elsig, Dukagjini, Prisig, Scardian, Security, Sigma, Ilyria, Ilyria Life, Sigkos, Sigal, and Kosova e Re. The population comprises these companies’ board members, audit committee members, department managers, internal audit officers, legal officers, and finance officers. Also, data on the dependent variable are obtained from secondary data sources, namely from the 6-month financial statements of the insurance companies. A survey method was used to collect additional data, and the questionnaire was distributed using the Customized Design Method.

The questionnaire contains items derived from the objectives, re­search questions, and hypotheses of this study. A 5-point Likert scale was used for res­­pon­­dents to express their opinion on each statement. To test the hypotheses relating to the qua­lity of internal audits and the impact on the financial performance of insurance companies in Ko­sovo, the modified general linear regression model was used, as proposed by Ondieki (2013); Matoke and Omwenga (2016) and Ado, Rashid, Mustapha, and Ademola (2020). This model brings together several potential determinants that affect the performance enhancement of the companies analyzed in the case study. The model in linear form is as follows:

FP - Financial performance of insurance companies measured through ROA.
β0 - Regression constant.
β1, 2, 3, 4, - Coefficients of independent variables.
AUDST - Effect of internal audit standards on FP.
AUDCOM - Effect of professional internal audit competence on FP.
AUDIND - Effect of internal audit independence on FP.
AUDEF - Effect of internal audit efficiency on FP.
Age - Age as the ratio of total liabilities to total assets (control variable).
Sz - Firm size as a natural logarithm (ln) of total assets (control variable).
Fgrowth - Firm growth as (PG (t) -PG (t-1) / PG (t-1) (control variable).

To create the conditions for a fair evaluation of the independent variables and non-distor­tion of findings, control variables such as size, age, and growth of the insurance company were included. The independent variables express respondents’ views; their responses are given using Likert scales (1 to 5). Based on the literature review and the applied model, the follo­wing hypotheses have been developed:

H1: Implementation of internal audit standards has no significant effect on the performance of insu­­rance companies in Kosovo.
H2: The independence of internal audits has no significant effect on the financial performance of insu­rance companies in Kosovo.
H3: The professional competence of internal audits has a significant effect on the financial perfor­mance of insurance companies in Kosovo.
H4: The effectiveness of internal audits has a significant effect on the financial performance of insu­rance companies in Kosovo.

4. Data Analysis and Presentation

To measure the consistency of the questions in the questionnaire as well as the accuracy and reliability of the data from the questionnaire when using the Likert scale, we applied the Cronbach’s Alpha test. Cronbach's alpha is a measure of internal consistency that shows how closely a set of items is grouped. Our calculations, which are presented in Table 1, revealed a value of 0.76309, which is an acceptable percentage. Since the percentage achieved while using the questionnaires is over 60%, the obtained results can be considered reliable.

Table 1. Accuracy and reliability statistics.
No. of questions
No. of items
Standardized Cronbach’s Alpha
Cronbach Alpha
28
154
0.789
0.763

4.1. Correlation Results

To establish the relationship between the variables in the study, a correlation analysis was perfor­med. As above, FP is used to express financial performance. Pearson correlation coefficients were obtained for all variables; the findings are shown in Table 2. The results show that there is a constructive reciprocity between auditor competence (r = 0.247; p <0, 05), audit efficiency (r = 0.270; p <0.05), company size (r = 0.310; p <0.05) and company age (r = 0.298; p <0 , 05) on the one hand, and financial performance on the other. These findings reveal that the auditor's competence, audit efficiency, and the size and age of the insurance company are posi­tively correlated with FP, meaning that an improvement in one or all of these variables would result in an improvement in finan­cial performance. However, the relationship bet­ween auditing standards (r = - 0.015; p> 0.05) and internal auditor independence (r = 0.196; p> 0.05) and financial performance was negligible and insignificant.

5. Regression Results

The summary table of the model reports the strength of the relationship between the model and the de­pendent variable. R, the multiple correlation coefficient, is the linear correlation between the observed values and is predicted by the dependent variable model. The dependent variable, in this case, was the financial performance measured using the return on assets (ROA).

Table 2. Correlation analysis.
Variable
FP
AUDST
AUDIND
AUDCOM
AUDEF
FSz
FAge
FGrowth
FP Pearson Correlation
1
-0.015
0.196
0.247*
0.270*
0.310*
0.298*
0.002
Sig0. (2-tailed)
0.905
0.118
0.048
0.030
0.013
0.018
0.985
N
154
154
154
154
154
154
154
154
AUDST Pearson Correlation
-0.015
1
0.042
0.127
-0.084
-0.099
-0.079
0.093
Sig0. (2-tailed)
0.905
0.614
0.121
0.311
0.438
0.536
0.474
N
154
154
154
154
154
154
154
154
AUD IND Pearson Correlation
0.196
0.042
1
-0.043
0.092
0.272*
0.295*
0.032
Sig0. (2-tailed)
0.118
0.614
0.604
0.263
0.030
0.018
0.805
N
154
154
154
154
154
154
154
154
AUD COM Pearson Correlation
0.247*
0.127
-0.043
1
0.073
0.136
0.125
0.103
Sig0. (2-tailed)
0.048
0.121
0.604
0.374
0.284
0.324
0.431
N
154
154
154
154
154
154
154
154
AUD EF Pearson Correlation
0.270*
-0.084
0.092
0.073
1
0.974**
0.900**
-0.023
Sig0. (2-tailed)
0.030
0.311
0.263
0.374
<0.001
<0.001
0.861
N
154
154
154
154
154
154
154
154
FSz Pearson Correlation
0.310*
-0.099
0.272*
0.136
0.974**
1
0.974**
-0.008
Sig0. (2-tailed)
0.013
0.438
0.030
0.284
<0.001
<0.001
0.953
N
154
154
154
154
154
154
154
154
FAge Pearson Correlation
0.298*
-0.079
0.295*
0.125
0.900**
0.974**
1
0.010
Sig0. (2-tailed)
0.018
0.536
0.018
0.324
<0.001
<0.001
0.939
N
154
154
154
154
154
154
154
154
Firm Growth Pearson Correlation
0.002
0.093
0.032
0.103
-0.023
-0.008
0.010
1
Sig0. (2-tailed)
0.985
0.474
0.805
0.431
0.861
0.953
0.939
N
154
154
154
154
154
154
154
154

Note: ** Statisticaly significant at the 0.05 level (2-tailed).
* Statistically significant at the 0.10 level (2-tailed).


Table 3. Model summary - determination coefficient.
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
0.356a
0.126
0.061
0.056
2
0.473b
0.224
0.115
0.055

Note:
a. Predictors: (Constant), AUDEF, AUDCOM, AUDST, AUDIND.
b. Predictors: (Constant), AUDEF, AUDCOM, AUDST, AUDIND,  Firm Growth, FAge, FSz.

The R-squared for the regression model was 0.126 (for the independent variables) and 0.224 (for the control variables), as shown in Table 3. Therefore, the model explains 12.6% of the change in FP using four independent variables. These findings show that the four selected independent va­riab­les (IA standards, IA independence, IA competence, and IA efficiency) explain 12.6% of the difference in the financial performance of insurance companies in Kosovo. The significance of the overall summary model in providing prognostic value was assessed using the f test. The results presented in Table 4 show that the regression model has no predictive value (f = 3,519; p <0.05). These findings indicate that the independent variables used in the regression have a value, though not significant, in forecasting performance so they should be used with caution to predict the financial performance of insurance companies.

Table 4. Significance of regression model.
 Model
Sum of Squares
Mean Square
F
Sig.
1 Regression
0.054
0.010
3.519
0.005b
Residual
0.149
0.003
Total
0.203

 Note: b. Predictors: (Constant), AUDEF, AUDCOM, AUDST, AUDIND,  Firm Growth, FAge, FSz.


The test of statistical significance of the independent variables in the model was done using T-tests. The results are presented in Table 5. They show that internal audit competence has a po­si­ti­ve coeffi­cient when used as a predictor of insurance companies’ performance in the regression model (β = 0.0307; t = 2.034; p <0.05), indicating that increasing the competence of internal audits has a po­sitive and significant effect on the performance of insurance companies measured through ROA. The T-test also found that the competence of internal audits is an important predictor of the financial performance of insurance companies. This finding confirms the third hypo­thesis. These findings are consistent with those of Ondieki (2013) and Alflahat (2017). Internal auditing standards were not a significant predictor of insurance com­panies' finan­cial performance (β = - 0.0011; t = - 0.103 ; p> 0.05). These findings indicate that the appli­­­ca­tion of internal auditing standards does not have a significant effect on the financial perfor­man­ce of insu­rance companies. The same statement applies to the independence of internal audits (β = - 0.00174; t = - 0.116; p> 0.05). These two findings mean that the first and second hypotheses are not proven.

Fur­­ther findings show that the efficiency of internal audits has a negative and significant impact on the financial performance of insurance companies (β = - 74488; t = - 2,144; p <0.05). This finding con­firms the fourth hypothesis. Firm size was also found to be positively and signifi­cantly rela­ted to financial performance, while firm age was negatively and statis­ti­cally significantly related to finan­cial performance at a 5% significance level. Previous empirical studies have shown that company size positively affects company perfor­man­ce (Grediani, 2019; Haji, 2014; Legoria, Reichelt, & Soileau, 2018; Pervan & Višić, 2012) . The third control variable, FGrowth, does not have a significant effect on the financial performance of insurance com­panies in Kosovo.

Table 5. Significance test of independent variables.
Dependent variable: FP, OLS
Variable
Coefficient
Std. error
t-Statistics
Prob.
const
−4.60198
2.16528
−2.125
0.0386**
AUDST
−0.00110
0.01071
−0.103
0.9180
AUDIND
−0.00174
0.01489
−0.116
0.9075
AUDCOM
0.03070
0.01509
2.034
0.0474**
AUDEF
−0.74488
0.34743
−2.144
0.0370**
FGrowth
−0.0028
0.00282
−0.991
0.3264
FSz
10.6316
4.97306
2.138
0.0375**
Fage
−2.1888
1.07006
−2.045
0.0386**

Note: Durbin-Watson stat. 1.774631; F-statistic 2.057486; Prob. 0.065868.
** Statistically significant at the 0.05 level.


6. Conclusions

This research has explored the effect of internal audit quality on the financial perfor­mance of insurance companies in Kosovo. In the study, Return on Assets (ROA) was used to measure the financial performance variable, while the independent variab­les were IA standards, IA independence, IA competence, and IA efficiency. To create condi­tions for a fair evaluation of independent variables and non-distortion of findings, control variables such as size, age, and growth of the insurance company were used. Based on the results of the OLS analysis, IA competence was found to be positively and significantly related to financial performance. This result is in line with Ondieki (2013), Enekwe, Nwoha, and Udeh (2020), and El-Gharboui and Chraibi (2021). In contrast, IA efficiency was found to be significantly negatively related to financial performance. The other independent variables, AUDIND, were found to have a negative but insignificant effect on FP. Similar results were reported by Akande (2019) and Farouk and Hassan (2014) while contrasting results were encountered in Ado et al. (2020). AUDST also has a non-significant effect on ROA, although opposite results were reported by Ondieki (2013). Such negative and insignificant connections are the result of the mandatory application of internal audit standards, as well as the de facto dependence (not independence) of the internal auditor on manage­ment, although legally this issue is regulated. Given these findings, this study provides insights useful to regulators and policymakers about the importance of audit quality in enhancing financial performance.

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