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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Bohr. Fmr.</journal-id>
<journal-title>BOHR International Journal of Finance and Market Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Bohr. Fmr.</abbrev-journal-title>
<issn pub-type="epub">2583-4541</issn>
<publisher>
<publisher-name>BOHR</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.54646/bijfmr.2023.15</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Methods</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Credit risk management and the performance of Nigerian deposit money banks</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Okey-Nwala</surname> <given-names>P. O.</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Kenn-Ndubuisi</surname> <given-names>J. I.</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wachukwu</surname> <given-names>P. I.</given-names></name>
</contrib>
</contrib-group>
<aff><institution>Rivers State University</institution>, <addr-line>Port Harcourt</addr-line>, <country>Nigeria</country></aff>
<author-notes>
<corresp id="c001">&#x002A;Correspondence: J. I. Kenn-Ndubuisi, <email>kenndubuisijuliet@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>03</month>
<year>2023</year>
</pub-date>
<volume>2</volume>
<issue>1</issue>
<fpage>12</fpage>
<lpage>15</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>02</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Okey-Nwala, Kenn-Ndubuisi and Wachukwu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Okey-Nwala, Kenn-Ndubuisi and Wachukwu</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>We have used a multiple regression model to identify the impacts of the variables of credit risk management on the Nigerian deposit money banks&#x2019; performance from 2000 to 2020. The estimation was completed using the ordinary least squares method with E-Views 12. The data was sourced from the Nigerian Stock Exchange for information and the <italic>Statistical Bulletin</italic> of the Central Bank of Nigeria. The outcome determined that return on equity (ROE) is negatively correlated with the nonperforming loan/loan and advances ratio. Last but not least, the ROE measurements of the deposit money banks in Nigeria show a substantial correlation between the ratios of advances and loans to nonperforming loans, loan loss provision to loans and advances, and capital adequacy. These ratios are positively correlated with each other and negatively correlated with the capital adequacy ratio. We advise effective surveillance of pre- and post-deposit financial institution loans for the early detection of problematic debts that won&#x2019;t be repaid according to schedule and for the thorough analysis of prospective projects as indicated in the financial statement given by the intended client (cash budget, income statement). Accurate identification of realistic projects and repayment terms based on the customer&#x2019;s past performance will be achieved.</p>
</abstract>
<kwd-group>
<kwd>credit risk</kwd>
<kwd>bank performance</kwd>
<kwd>credit management</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="3"/>
<ref-count count="10"/>
<page-count count="4"/>
<word-count count="2329"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Any may expand thanks to the financial services provided by the banking industry of that nation. A nation&#x2019;s financial stability index is determined by the banking sector&#x2019;s long-term efficiency and effectiveness to the extent to which the public can evaluate bank credit for productive endeavors to aid the quickening of the speed of a country&#x2019;s economic expansion and also ensure its long-term viability (<xref ref-type="bibr" rid="B1">1</xref>). Lending activities carried out by the banks expose them to significant credit risk, which can result in financial difficulty and possibly bankruptcy (nonperforming loans).</p>
<p>Simply put, credit risk is the potential to lose an existing debt entirely or substantially as a result of credit events. It is also significant in commercial banks&#x2019; profitability because loans with interest generate a significant portion of commercial banks&#x2019; income (<xref ref-type="bibr" rid="B2">2</xref>). Given that credit is one of the primary sources of income for commercial banks, controlling credit-related risk is critical for profitability (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>According to Ejoh et al. (<xref ref-type="bibr" rid="B4">4</xref>), credit risk increases whenever there may be a contravention to the principles of credit. Since lending comprises a reasonable portion of the resource exposure of Nigeria&#x2019;s deposit-taking banks, the capacity to generate profit and stay sound for banks becomes a function of effective and efficient management of their risk and lending portfolio.</p>
<p>Therefore, an important component of lending is credit risk management, and as such, its absence can turn a good loan into a bad one. For banks to be successful and maintain their soundness while enhancing performance, their corporate credit appraisal, disbursement, adequate monitoring, and repayment practices must be assured (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>This study draws from the foregoing and intends to carry out an empirical analysis of the correlation between the efficiency of Nigeria&#x2019;s deposit money banks and credit risk management. Some of the previous studies include the following:</p>
<p>Examining the credit risk management practices and the profitability satisfaction inventory through banks&#x2019; credit risk management practices (BACRIMAP), in Ekpoma, Edo State, Nigeria, Aigbomian, and Akinlosotu (<xref ref-type="bibr" rid="B5">5</xref>) conducted their study on deposit money banks&#x2019; profitability and credit risk management (PSI) for profitability indices of banks. Their results showed a strong correlation between deposit money institutions&#x2019; profitability and credit risk management.</p>
<p>Ifeanyi and Francis (<xref ref-type="bibr" rid="B6">6</xref>) tested the nexus that exists between Nigeria&#x2019;s deposit money banks&#x2019; profitability (ROA) and credit management (DMBs) from 2006 to 2015. Secondary data bulletins and bank annual reports were given by the Central Bank of Nigeria&#x2019;s Statistical Department. They discovered that nonperforming loans were detrimental but very slightly affected profitability, whereas loans, advances, and loan loss provisions had a positive but insignificant impact.</p>
<p>Olalere and Ahmad (<xref ref-type="bibr" rid="B7">7</xref>) tested eight commercial banks (SIBs) from 2011 to 2014, using a panel data analysis to investigate how Nigerian commercial banks&#x2019; profitability is affected by credit risk. The findings revealed a significant and adverse relationship between profitability and the nonperforming loan ratio. During the research period, there was no relationship between bank profitability and the debt-to-equity ratio or the debt-to-total assets ratio.</p>
<p>In their 2014 study, (<xref ref-type="bibr" rid="B8">8</xref>) looked at how the profitability of Lagos State&#x2019;s banks was impacted by credit risk. They advised managers of the banks to place a great deal of importance on credit risk as a result of their discovery that credit risk may contribute to a decline in earnings.</p>
</sec>
<sec id="S2">
<title>Methodology</title>
<p>The study used secondary data from 24 DMBs from the data gathered from the Central Bank of Nigeria (CBN) and the Nigerian Stock Exchange (NSE) database between 2000 and 2020. The ordinary least square technique using EViews 12 statistical package was used to estimate the model. The dependent variable is the return on equity (ROE). The independent variable includes the nonperforming loan/loan and advances ratio (NPLR), loan loss provision/loan and advances ratio (LLPR), and capital adequacy ratio (CAR) (<xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Time series data on measures of performance and proxies of credit management of deposit money banks in Nigeria.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Years</td>
<td valign="top" align="center">ROE<hr/></td>
<td valign="top" align="center">NPLR<hr/></td>
<td valign="top" align="center">LLPR<hr/></td>
<td valign="top" align="center">CAR<hr/></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">(%)</td>
<td valign="top" align="center">(%)</td>
<td valign="top" align="center">(%)</td>
<td valign="top" align="center">(%)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">2000</td>
<td valign="top" align="center">2.06</td>
<td valign="top" align="center">6.21</td>
<td valign="top" align="center">2.28</td>
<td valign="top" align="center">7.76</td>
</tr>
<tr>
<td valign="top" align="left">2001</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">5.65</td>
<td valign="top" align="center">3.05</td>
<td valign="top" align="center">7.95</td>
</tr>
<tr>
<td valign="top" align="left">2002</td>
<td valign="top" align="center">2.63</td>
<td valign="top" align="center">5.13</td>
<td valign="top" align="center">2.74</td>
<td valign="top" align="center">8.19</td>
</tr>
<tr>
<td valign="top" align="left">2003</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">7.24</td>
<td valign="top" align="center">3.91</td>
<td valign="top" align="center">8.47</td>
</tr>
<tr>
<td valign="top" align="left">2004</td>
<td valign="top" align="center">2.58</td>
<td valign="top" align="center">6.25</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">8.25</td>
</tr>
<tr>
<td valign="top" align="left">2005</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">7.91</td>
<td valign="top" align="center">2.45</td>
<td valign="top" align="center">8.93</td>
</tr>
<tr>
<td valign="top" align="left">2006</td>
<td valign="top" align="center">2.16</td>
<td valign="top" align="center">9.30</td>
<td valign="top" align="center">3.07</td>
<td valign="top" align="center">9.30</td>
</tr>
<tr>
<td valign="top" align="left">2007</td>
<td valign="top" align="center">4.54</td>
<td valign="top" align="center">10.06</td>
<td valign="top" align="center">2.68</td>
<td valign="top" align="center">10.97</td>
</tr>
<tr>
<td valign="top" align="left">2008</td>
<td valign="top" align="center">7.3</td>
<td valign="top" align="center">10.57</td>
<td valign="top" align="center">4.83</td>
<td valign="top" align="center">11.23</td>
</tr>
<tr>
<td valign="top" align="left">2009</td>
<td valign="top" align="center">4.41</td>
<td valign="top" align="center">12.69</td>
<td valign="top" align="center">4.41</td>
<td valign="top" align="center">12.11</td>
</tr>
<tr>
<td valign="top" align="left">2010</td>
<td valign="top" align="center">4.11</td>
<td valign="top" align="center">11.46</td>
<td valign="top" align="center">5.68</td>
<td valign="top" align="center">12.82</td>
</tr>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">2.06</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">7.33</td>
<td valign="top" align="center">13.49</td>
</tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">13.79</td>
<td valign="top" align="center">9.67</td>
<td valign="top" align="center">6.90</td>
<td valign="top" align="center">14.32</td>
</tr>
<tr>
<td valign="top" align="left">2013</td>
<td valign="top" align="center">15.72</td>
<td valign="top" align="center">13.85</td>
<td valign="top" align="center">9.71</td>
<td valign="top" align="center">16.43</td>
</tr>
<tr>
<td valign="top" align="left">2014</td>
<td valign="top" align="center">7.3</td>
<td valign="top" align="center">14.10</td>
<td valign="top" align="center">7.22</td>
<td valign="top" align="center">17.16</td>
</tr>
<tr>
<td valign="top" align="left">2015</td>
<td valign="top" align="center">2.68</td>
<td valign="top" align="center">11.50</td>
<td valign="top" align="center">5.51</td>
<td valign="top" align="center">18.45</td>
</tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="center">2.55</td>
<td valign="top" align="center">14.21</td>
<td valign="top" align="center">9.80</td>
<td valign="top" align="center">16.45</td>
</tr>
<tr>
<td valign="top" align="left">2017</td>
<td valign="top" align="center">6.49</td>
<td valign="top" align="center">12.35</td>
<td valign="top" align="center">4.81</td>
<td valign="top" align="center">17.04</td>
</tr>
<tr>
<td valign="top" align="left">2018</td>
<td valign="top" align="center">16.75</td>
<td valign="top" align="center">10.99</td>
<td valign="top" align="center">6.77</td>
<td valign="top" align="center">17.84</td>
</tr>
<tr>
<td valign="top" align="left">2019</td>
<td valign="top" align="center">9.04</td>
<td valign="top" align="center">18.66</td>
<td valign="top" align="center">5.98</td>
<td valign="top" align="center">16.89</td>
</tr>
<tr>
<td valign="top" align="left">2020</td>
<td valign="top" align="center">13.27</td>
<td valign="top" align="center">15.76</td>
<td valign="top" align="center">5.44</td>
<td valign="top" align="center">16.58</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source</italic>: CBN statistical bulletin and NSE database.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Descriptive statistics of employed research variables.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">ROE</td>
<td valign="top" align="left">NPLR</td>
<td valign="top" align="left">LLPR</td>
<td valign="top" align="left">CAR</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">5.645714</td>
<td valign="top" align="left">10.64571</td>
<td valign="top" align="left">5.070000</td>
<td valign="top" align="left">12.88333</td>
</tr>
<tr>
<td valign="top" align="left">Median</td>
<td valign="top" align="left">4.110000</td>
<td valign="top" align="left">10.57000</td>
<td valign="top" align="left">4.830000</td>
<td valign="top" align="left">12.82000</td>
</tr>
<tr>
<td valign="top" align="left">Maximum</td>
<td valign="top" align="left">16.75000</td>
<td valign="top" align="left">18.66000</td>
<td valign="top" align="left">9.800000</td>
<td valign="top" align="left">18.45000</td>
</tr>
<tr>
<td valign="top" align="left">Minimum</td>
<td valign="top" align="left">0.210000</td>
<td valign="top" align="left">5.130000</td>
<td valign="top" align="left">1.900000</td>
<td valign="top" align="left">7.760000</td>
</tr>
<tr>
<td valign="top" align="left">Std. Dev.</td>
<td valign="top" align="left">4.682639</td>
<td valign="top" align="left">3.541704</td>
<td valign="top" align="left">2.315463</td>
<td valign="top" align="left">3.853662</td>
</tr>
<tr>
<td valign="top" align="left">Skewness</td>
<td valign="top" align="left">1.251037</td>
<td valign="top" align="left">0.293049</td>
<td valign="top" align="left">0.509208</td>
<td valign="top" align="left">&#x2013;0.012555</td>
</tr>
<tr>
<td valign="top" align="left">Kurtosis</td>
<td valign="top" align="left">3.490108</td>
<td valign="top" align="left">2.585726</td>
<td valign="top" align="left">2.442739</td>
<td valign="top" align="left">1.425260</td>
</tr>
<tr>
<td valign="top" align="left">Jarque-Bera</td>
<td valign="top" align="left">5.688006</td>
<td valign="top" align="left">0.450741</td>
<td valign="top" align="left">1.179246</td>
<td valign="top" align="left">2.170382</td>
</tr>
<tr>
<td valign="top" align="left">Probability</td>
<td valign="top" align="left">0.058192</td>
<td valign="top" align="left">0.798220</td>
<td valign="top" align="left">0.554536</td>
<td valign="top" align="left">0.337837</td>
</tr>
<tr>
<td valign="top" align="left">Sum</td>
<td valign="top" align="left">118.5600</td>
<td valign="top" align="left">223.5600</td>
<td valign="top" align="left">106.4700</td>
<td valign="top" align="left">270.5500</td>
</tr>
<tr>
<td valign="top" align="left">Sum Sq. Dev.</td>
<td valign="top" align="left">438.5421</td>
<td valign="top" align="left">250.8733</td>
<td valign="top" align="left">107.2274</td>
<td valign="top" align="left">297.0143</td>
</tr>
<tr>
<td valign="top" align="left">Observations</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">21</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source</italic>: EViews 12-based results.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Ordinary least square technique of regression analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="left">Coefficients</td>
<td valign="top" align="left">Std. error</td>
<td valign="top" align="left"><italic>t</italic>-statistic</td>
<td valign="top" align="left">Prob.</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="left">4.905308</td>
<td valign="top" align="left">0.670213</td>
<td valign="top" align="left">7.319027</td>
<td valign="top" align="left">0.0000</td>
</tr>
<tr>
<td valign="top" align="left">NPLR</td>
<td valign="top" align="left">&#x2013;0.246894</td>
<td valign="top" align="left">0.133960</td>
<td valign="top" align="left">&#x2013;3.843041</td>
<td valign="top" align="left">0.0009</td>
</tr>
<tr>
<td valign="top" align="left">LLPR</td>
<td valign="top" align="left">0.234100</td>
<td valign="top" align="left">0.144704</td>
<td valign="top" align="left">2.617782</td>
<td valign="top" align="left">0.0183</td>
</tr>
<tr>
<td valign="top" align="left">CAR</td>
<td valign="top" align="left">0.518059</td>
<td valign="top" align="left">0.275724</td>
<td valign="top" align="left">2.478907</td>
<td valign="top" align="left">0.0220</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic>-squared</td>
<td valign="top" align="left">0.852676</td>
<td valign="top" align="left" colspan="2">Mean dependent var</td>
<td valign="top" align="left">13.57438</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted <italic>R</italic>-squared</td>
<td valign="top" align="left">0.844997</td>
<td valign="top" align="left" colspan="2">S.D. dependent var</td>
<td valign="top" align="left">1.322470</td>
</tr>
<tr>
<td valign="top" align="left">S.E. of regression</td>
<td valign="top" align="left">0.304464</td>
<td valign="top" align="left" colspan="2">Akaike info criterion</td>
<td valign="top" align="left">0.586917</td>
</tr>
<tr>
<td valign="top" align="left">Sum squared resid</td>
<td valign="top" align="left">2.317465</td>
<td valign="top" align="left" colspan="2">Schwarz criterion</td>
<td valign="top" align="left">0.775510</td>
</tr>
<tr>
<td valign="top" align="left">Log likelihood</td>
<td valign="top" align="left">&#x2013;4.510298</td>
<td valign="top" align="left" colspan="2">Hannan-Quinn criter.</td>
<td valign="top" align="left">0.645982</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic>-statistic</td>
<td valign="top" align="left">167.7570</td>
<td valign="top" align="left" colspan="2">Durbin-Watson stat</td>
<td valign="top" align="left">2.063538</td>
</tr>
<tr>
<td valign="top" align="left">Prob (<italic>F</italic>-statistic)</td>
<td valign="top" align="left">0.000000</td>
<td valign="top" colspan="2"/>
<td valign="top" align="left"/></tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Source: EViews 12-based results.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The multiple regression model used for this investigation is as follows:</p>
<disp-formula id="S2.E1">
<label>(1)</label>
<mml:math id="M1">
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mtext>Y</mml:mtext>
</mml:mpadded>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mi>K0</mml:mi>
</mml:mpadded>
<mml:mo>+</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi>K1X1</mml:mi>
</mml:mpadded>
<mml:mo>+</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi>K2X2</mml:mi>
</mml:mpadded>
<mml:mo>+</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">&#x2026;</mml:mi>
</mml:mpadded>
<mml:mo>+</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mtext>KnXn</mml:mtext>
</mml:mpadded>
<mml:mo>+</mml:mo>
<mml:mtext>u</mml:mtext>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where</p>
<p>Y = the dependent variable representing measure of performance of deposit money banks.</p>
<p>X<sub>1</sub>&#x2026;X<sub><italic>n</italic></sub> = the independent variables representing proxies for credit risk management.</p>
<p>When transformed into a mathematical model, this reads as follows:</p>
<disp-formula id="S2.E2">
<label>(2)</label>
<mml:math id="M2">
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mtext>ROE</mml:mtext>
</mml:mpadded>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mtext>K</mml:mtext>
<mml:mpadded width="+3.3pt">
<mml:mn mathvariant="bold">0</mml:mn>
</mml:mpadded>
<mml:mo rspace="7.5pt">+</mml:mo>
<mml:mi mathvariant="normal">K</mml:mi>
<mml:mn mathvariant="bold">1</mml:mn>
<mml:mpadded width="+3.3pt">
<mml:mtext>NPLR</mml:mtext>
</mml:mpadded>
<mml:mo rspace="5.8pt">+</mml:mo>
<mml:mtext>K</mml:mtext>
<mml:mn mathvariant="bold">2</mml:mn>
<mml:mpadded width="+3.3pt">
<mml:mtext>LLPR</mml:mtext>
</mml:mpadded>
<mml:mo rspace="7.5pt">+</mml:mo>
<mml:mi mathvariant="normal">K</mml:mi>
<mml:mn mathvariant="bold">3</mml:mn>
<mml:mtext>CA</mml:mtext>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where</p>
<p>ROE = return on equity; NPLR = nonperforming loan/loan and advances ratio.</p>
<p>LLPR = loan loss provision/loan and advances ratio; CAR = capital adequacy ratio.</p>
<disp-formula id="S2.Ex1">
<mml:math id="M3">
<mml:mrow>
<mml:mrow>
<mml:mi>K</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mn>0</mml:mn>
</mml:mpadded>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>g</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>r</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>i</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>o</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>n</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>c</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>o</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>n</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>a</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>n</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="S3">
<title>Findings</title>
<p>The following are the findings of our study:</p>
<p>1. NPLR and the ROE are negatively correlated.</p>
<p>2. ROE and LLPR have a positive correlation of 0.234100.</p>
<p>3. The CAR and ROE are positively correlated.</p>
</sec>
<sec id="S4">
<title>Analysis of <italic>t</italic>-test</title>
<p>The summary of our <italic>t</italic>-test as presented in <xref ref-type="table" rid="T4">Table 4</xref> reveals that all our estimated parameters are individually significant. This is further ascertained by their <italic>P</italic>-values (i.e., 0.0009, 0.0183, and 0.0220, respectively), which are less than 0.05.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Summary of <italic>t</italic>-test.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center"><italic>t</italic>-calculated values</td>
<td valign="top" align="center"><italic>t</italic>-tabulated values</td>
<td valign="top" align="center">Prob. values</td>
<td valign="top" align="center">Decision rules</td>
<td valign="top" align="center">Conclusions</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NPLR</td>
<td valign="top" align="center">3.843041</td>
<td valign="top" align="center">2.110</td>
<td valign="top" align="center">0.0009</td>
<td valign="top" align="center">Reject H<sub>0</sub></td>
<td valign="top" align="center">Significant</td>
</tr>
<tr>
<td valign="top" align="left">LLPR</td>
<td valign="top" align="center">2.617782</td>
<td valign="top" align="center">2.110</td>
<td valign="top" align="center">0.0183</td>
<td valign="top" align="center">Reject H<sub>0</sub></td>
<td valign="top" align="center">Significant</td>
</tr>
<tr>
<td valign="top" align="left">CAR</td>
<td valign="top" align="center">2.478907</td>
<td valign="top" align="center">2.110</td>
<td valign="top" align="center">0.0220</td>
<td valign="top" align="center">Reject H<sub>0</sub></td>
<td valign="top" align="center">Significant</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source</italic>: Researcher&#x2019;s computation (2022).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Finally, it can therefore be inferred based on this outcome that ROE is significantly impacted by each of the following metrics: CAR, loan loss provisions and loan and advance ratios, often known as NPLR and LLPR, respectively.</p>
</sec>
<sec id="S5">
<title>Conclusion and recommendations</title>
<p>The study looked at how credit risk management in Nigeria had an influence on deposit money banks&#x2019; performance from 2000 to 2020 using a multiple regression model estimated by the ordinary least square technique using the EViews 12 statistical package to analyze both the individual and joint performance of Nigerian deposit money banks as measured by ROE, credit risk management variables (interactions between NPLR, LLPR, and loan loss provision). The data were gathered from the Central Bank of Nigeria (CBN) and the Nigerian Stock Exchange Nigeria&#x2019;s Statistical Bulletin (NSE).</p>
<p>The findings are consistent with the hypothesis that NPLR and ROE of deposit money banks in Nigeria have a negative and significant impact on the Nigerian banks that take deposits, according to prior findings of Kolapo et al. (<xref ref-type="bibr" rid="B1">1</xref>) study on credit risk.</p>
<p>Second, there is a significant and positive correlation between the Nigerian deposit money banks&#x2019; ROE and their LLPR as aforementioned by Olalere and Ahmad (<xref ref-type="bibr" rid="B7">7</xref>) who indicated that the LLPR and the performance of Nigeria&#x2019;s deposit money banks are highly positively associated.</p>
<p>Thirdly, there is a strong and positive correlation between deposit money banks&#x2019; capital adequacy ratio and ROE in Nigeria. This is consistent with the results that the CAR significantly improves the performance of Nigeria&#x2019;s deposit money banks, as agreed by Saeed and Zahid (<xref ref-type="bibr" rid="B9">9</xref>), who established that the CAR has a significant positive effect on deposit money banks&#x2019; returns on assets and ROE.</p>
<p>Finally, there is a joint influence on the performance of deposit money banks in Nigeria as evaluated by ROE. It is notably influenced by the loan loss provision, loans and advances, and nonperforming loans to loans and advances, and capital adequacy.</p>
<p>The following recommendations have been provided based on the research findings and its conclusions:</p>
<p>1. Deposit money institutions should keep track of their outstanding loans to identify payment loans that the borrower will fail to repay as scheduled as soon as possible.</p>
<p>2. Prior to making a loan, deposit money institutions should carefully review the project as described in the customer-provided financial statement (cash budget, income statement). Based on the clients&#x2019; prior performance, they will be able to determine reasonable projects and payback conditions.</p>
<p>3. Deposit money banks should strictly follow loss prevention methods for risk management. An excellent example is the written agreement in which the borrower agrees to deliver specified financial statements at specific times during the loan&#x2019;s life.</p>
<p>4. Loans and advances should be given to borrowers on a merit basis and not on personal recognition. Thus, credit facilities should be granted only after a thorough evaluation of the loan applicants&#x2019; proposals.</p>
<p>5. Efficient supervision and collection systems should be given priority as this will reduce the possibility of diversion of loans to other uses, which always hinders effective loan recovery.</p>
</sec>
<sec id="S6" sec-type="author-contributions">
<title>Author contributions</title>
<p>PO-N, JK-N, and PW contributed by collecting articles and materials for publication, preparing the paper and submitting it for publication, proofreading of the article, correcting and final submission. We agree to be accountable for the content of the work.</p>
</sec>
<sec id="S7">
<title>Conflict of interest</title>
<p>The authors hereby declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ref-list>
<title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kolapo</surname> <given-names>TF</given-names></name> <name><surname>Ayeni</surname> <given-names>RK</given-names></name> <name><surname>Oke</surname> <given-names>MO</given-names></name></person-group>. <article-title>Credit risk and deposit money banks performance in nigeria: a panel model approach.</article-title> <source><italic>Aust J Bus Manage Res.</italic></source> (<year>2012</year>) <volume>2</volume>:<fpage>31</fpage>&#x2013;<lpage>8</lpage>.</citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kayode</surname> <given-names>OF</given-names></name> <name><surname>Obamuyi</surname> <given-names>TM</given-names></name> <name><surname>Owoputi</surname> <given-names>JA</given-names></name> <name><surname>Adeyefa</surname> <given-names>FA</given-names></name></person-group>. <article-title>Credit risk and bank performance in Nigeria.</article-title> <source><italic>J Econ Finance.</italic></source> (<year>2015</year>) <volume>6</volume>:<fpage>21</fpage>&#x2013;<lpage>8</lpage>.</citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>F</given-names></name> <name><surname>Zou</surname> <given-names>Y</given-names></name></person-group>. <article-title>The impact of credit risk management on profitability of deposit money banks: a study of Europe.</article-title> <source><italic>Umea Schl Bus Econ.</italic></source> (<year>2014</year>) <volume>2</volume>:<fpage>8</fpage>&#x2013;<lpage>17</lpage>.</citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ejoh</surname> <given-names>NO</given-names></name> <name><surname>Okpa</surname> <given-names>IB</given-names></name> <name><surname>Egbe</surname> <given-names>AA</given-names></name></person-group>. <article-title>The impact of credit and liquidity risk management on the profitability of deposit money banks in Nigeria.</article-title> <source><italic>Int J Econ Commerce Manage.</italic></source> (<year>2014</year>) <volume>2</volume>:<fpage>1</fpage>&#x2013;<lpage>15</lpage>.</citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aigbomian</surname> <given-names>E</given-names></name> <name><surname>Akinlosotu</surname> <given-names>NT</given-names></name></person-group>. <article-title>Credit risk management and profitability of deposit money banks in ekpoma, edo state.</article-title> <source><italic>J Econ Sustain Dev.</italic></source> (<year>2017</year>) <volume>8</volume>:<fpage>1</fpage>&#x2013;<lpage>5</lpage>.</citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ifeanyi</surname> <given-names>ON</given-names></name> <name><surname>Francis</surname> <given-names>CO</given-names></name></person-group>. <article-title>Effect of credit management on profitability of deposit money banks in Nigeria.</article-title> <source><italic>Int J Bank Finance Res.</italic></source> (<year>2017</year>) <volume>3</volume>: <fpage>137</fpage>&#x2013;<lpage>60</lpage>.</citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Olalere</surname> <given-names>OE</given-names></name> <name><surname>Ahmad</surname> <given-names>WO</given-names></name></person-group>. <article-title>The empirical effects of credit risk on profitability of deposit money banks: evidence from Nigeria.</article-title> <source><italic>Int J Sci Res.</italic></source> (<year>2015</year>) <volume>5</volume>:<fpage>1645</fpage>&#x2013;<lpage>50</lpage>.</citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alalade</surname> <given-names>S</given-names></name> <name><surname>Binuyo</surname> <given-names>O</given-names></name> <name><surname>Oguntodu</surname> <given-names>A</given-names></name></person-group>. <article-title>Managing credit risk to optimize banks&#x2019; profitability: a survey of selected banks in Lagos State, Nigeria.</article-title> <source><italic>Res J Finance Account.</italic></source> (<year>2014</year>) <volume>5</volume>:<fpage>76</fpage>&#x2013;<lpage>84</lpage>.</citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saeed</surname> <given-names>M</given-names></name> <name><surname>Zahid</surname> <given-names>N</given-names></name></person-group>. <article-title>The impact of credit risk on profitability of the deposit money banks.</article-title> <source><italic>J Bus Financ Affairs.</italic></source> (<year>2016</year>) <volume>5</volume>:<fpage>1</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.4172/2167-0234.1000192</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Okereke</surname> <given-names>EJ.</given-names></name></person-group> <source><italic>Banking in Nigeria, Practice and Management.</italic></source> <publisher-loc>Owerri</publisher-loc>: <publisher-name>Jeso Int</publisher-name> (<year>2006</year>).</citation></ref>
</ref-list>
</back>
</article>