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THE EFFECTIVENESS OF A CREDIT MANAGEMENT AND BANK LENDING IN THE WORLD

ABSTRACT

Commercial  banks  in Kenya  as  per the  World  Bank  report were  recording  higher  non- performance in  loans over the study period  than the standard globally  in  spite of Kenya having the most  stable  and developed banking system in East and  Central  Africa region. Commercial banks non-performing loans for five years from 2015 to 2018 averaged eleven percent which was higher than the recommended rate of one percent. In Kenya, commercial

banks’ non-performing loans remain higher than the recommended rate which could be due To inadequate credit management practices. The study therefore aimed  at  examining  the

effect of credit management practices on loan performance of commercial banks in Kenya. Specifically, the study sought to establish the effect of debt collection policy, client appraisal and lending policy on the loan performance of commercial banks in Kenya. The underpinning theory of the study was the 5Cs model for credit. The study used explanatory research design and  the  research  philosophy  adopted  was  positivism.  The  target  population  was  44 commercial banks in Kenya and a census approach was used. Both primary and secondary data were used. Primary data was collected through structured questionnaires and related to credit management practices while secondary data was obtained from review of existing bank loan records in relation to loan amount advanced and non-performing loans for a period of four  years from  2015-2018. The  data  collected  was analyzed  using both  descriptive and inferential statistics with the help of SPSS version 22. The study found out that debt collection policy and lending policy had a positive significant effect on loan performance of commercial banks in Kenya. However, client appraisal had no significant effect on loan performance of commercial banks in  Kenya.  Therefore, the  study concluded  that commercial  banks’  loan performance could be largely attributed to the efficiency of the credit management practices put in place at the institutions. The study recommended that commercial banks to regularly evaluate and update practices relating to debt collection policy, client appraisal and lending policy  that  are  capable  of  ensuring  that  credit  risks  are  identified  and  recorded from departmental level to the institution at large. This is vital in light of technological innovations

in the banking sector like mobile lending that may limit commercial banks’ ability to evaluate and manage credit using traditional methodslending policy. Additionally, the commercial banks should establish proper client appraisal

methods in order to mitigate credit risk. Proper customer credit worthiness system should also

be put in place based on their ability to repay back their credit and customer’s loyalty. 

Technology, Helsinki

  The  banks  utilize  deposits  to  generate  interest  revenues  making  credit

amounts the main component of commercial banks assets and source of the credit risk

compensation is

made in case of incurring of risks (Lalon, 2015).

Non-performing  loans remain  to be  the highest  detrimental factor  to development  of the

financial  sector (Doriana, 2015).  World Bank  (2018) report  indicated that  there was  low

performance of commercial banks  in Kenya  having a  relatively high non-performing loan

rates than the globally set standards at 14.92% and five years average of 11.07%. This raises

great concern and the reason why the study examined credit management practices and loan

performance, taking the case of commercial banks in Kenya. Loan performance constitutes a

huge proportion of the credit risk of a bank as it accounts for more than 10 times of the equity

(Barth et. al., 2001).  The total amount of money issued out as loans is referred to as loan

portfolio to different borrowers as different loan products. The loan products could be in form

of individual loans, corporate loans, salary loans or group guarantee loans. Loan performance

accesses the  rates of  payment, number  of borrowing clients,  security  pledged  and rate  of

arrears recovery (Basel, 2006). 

Performance of  loans is determined by the  percentage of NPLs to total loans (Petersen  &

Raghuram, 2008). Non-performing loans (NPLs) is the sum of money borrowed upon which

scheduled  payments  have  not  been  made  for  at  least  90  days  (Bank  for  International

Settlements, 2016). Performing loans on the other hand is a loan which both the principal and

interest payments are not more than 90 days overdue and which continued payment of the

loan  is  anticipated  (Petersen  &  Raghuram,  2008).  Hence,  banks  and  other  financial

institutions focus on  reducing NPLs due to the risk that results in  the principal loans and

interests not  being recovered (Otieno & Nyagol, 2016). Commercial  banks in Kenya have

recorded higher NPLs than the standard globally (World Bank, 2018). According to Montana

(2012), non-performing loans have continued to record sharp upward growth over the years

despite  the increasing  efforts  to  curb  non-performing  loans.  For  instance, in Kenya  non-

performing loans increased from 4.96% in 2013 to 5.9% in 2014, 8.97% in 2015, 9.02% in

2016, 11.38% in  2017 and 14.92% in  2018 (Central Bank of Kenya, 2018). In  2018,  the

NPLs in the banks were 14.92% and four years average from 2015 to 2018 of 11.07% which

was higher than the recommended rate of 1% (World Bank, 2018). According to Ekrami and

Rahnama (2009) the high amounts of NPLs acts as an indication of the current high risk in

credits in the banking system which poses both market and liquidity problems. NPLs mainly

occur as a result of inefficiencies in the credit management practices employed by the banks

The lending policies guide the bank on issuing out loans to customers and ensuring proper

credit management (Kithinji, 2010). These should be aligned with the general bank plans and

factors such as existing credit policies and prevailing country’s economy status. Prior to the

establishment  of  the  lending  policies,  banks  mainly  issued  out  credit  to  anyone  who

expressed interest to borrow. This resulted in large volumes of bad credit leading the banks to

be more  cautious thereafter (Abor, 2004). Majority of commercial banks  have customized

their own lending policies to fit the local market and to gain a competitive edge (Ombaba,

2013). However, they still face from poor lending practices (Altunbas et al, 2009). It thus

sensitizes on the importance of monitoring and providing the necessary steps that are related

to lending both to individuals and  corporates (Crowley, 2007). This has seen the CBK to

issue guidelines with each bank being required to prepare Credit Policies Guidelines (CPGs)

for guiding decisions pertaining to lending (CBK, 2017).

2. Statement of the Problem

Poor loan performance remains the highest detrimental factor to development of the financial

sector (World Bank, 2016) and impacts on banks’ ability to lend  (Doriana, 2015). There has

been concern on the extent of non-performing loan levels in Kenya which has been higher

than the recommended rate of 1%. In 2018, banks NPLs to total loans were 14.92% and five

years average of 11.07% (World Bank, 2018). Between the year 2017 and 2018 the NPLs to

total  loans ratio  increased from  11.38 percent  to 14.92  percent (Central  Bank of  Kenya,

2018).  Ineffective credit  management practices  have been identified to  constitute a  major

reason  behind  increase  NPLs  (Basel,  2006).  In  Kenya,  the  recent  collapse  of  some

commercial banks shows that the successful utilization of the credit management practices is

yet to be  realized (Kinyua, 2017). According to Obiero (2013), 37.8 % of banks collapsed

due to poor lending practices between 1984 and 2013. For example,  Chase Bank  was placed

into receivership in 2016  due to insolvency. The insolvency was occasioned by huge non-

performing loans and disregard of CBK Prudential Guidelines on minimum core capital to

total  risk  weighted assets.  In  October  2015 the  CBK  put  Imperial  Bank  under  statutory

management due to unsafe and unsound credit management practices (CBK, 2016).

3. Research Hypotheses

 H01: Debt collection policy has no significance on the loan performance of commercial banks

in Kenya.

H02: Client appraisal has no significant effect on the loan performance of commercial banks

in Kenya.

H03: Lending policy does not significantly affect loan performance of commercial banks in Kenya.

4. literature review

4.1 Theoretical Review

The study was guided by the 5 C’s model. According to Baiden (2011), The 5 C’s Model for

Credit was introduced as a framework through which financial institutions build the policy

for their  credit transactions.  The  5  C’s  details  the  five  important  factors  that  commercial

banks  will  use  in  administration  of  credit  which  are  expected  to  lead  to  improved

performance of loans (Mac Donald et al., 2006). This includes; character of the applicant,

capacity of repayment, collateral as form of security, capital  and the prevailing economic

condition (MacDonald et al., 2006; Baiden, 2011). The 5 C’s Model for Credit thus provides

an  assessment  upon which  lenders  use  for  both  current  and  future  borrowers.  Character

entails the level of commitment portrayed by the borrower in fulfilling the loan obligations.

Capacity entails the ability of  the  borrower to  make regular  payments and  settle the  loan

obligation fully without any major constraints. Capital on the other hand describes the wealth

position  of  the borrower  measured by  the  capital adequacy  and  market  standing  (Denis,

2010). Collateral acts as a security to loan issued in case of any defaults.

4.2 Empirical Literature Review

Balgova,  Nies  and  Plekhanov  (2016)  investigated  influence  of  NPLs  on  economic

performance.  Longitudinal  design  was  used.  The  study  established  that  reducing  non-

performing loans has an unambiguously positive medium-term impact on the economy. The

study  failed  to  examine  how  credit  management  practices  affected  loan  performance.

However, the study confirmed the negative consequences of NPLs in an economy and hence

need to manage the same. The current study determined how credit management practices

affect  loan  performance.  Otieno  and  Nyagol  (2016)  investigated  on  CRM  practices  and

performance.  Descriptive  research design  was adopted  by  the  study.

Figure 1: Conceptual Framework

Source: Author (2019)

As shown by Figure  1, independent variables for the  study are the debt collection policy,

client  appraisal  and  lending  policy.  The  debt  collection  policy  is  conceptualized  by  the

collection  enforcements,  guarantor  payments  on  borrowers’  default  and  continuous

monitoring  and control  of  loans.  Client  appraisal  is  conceptualized  by  use of  the  funds,

collateral characteristics, CRB credit score, assessed character of the borrower and ability to

pay the debt. Lending policy is conceptualized to consist of Credit limits, Credit terms and

documentation. The dependent variable for the study is the loan performance that is measured

by the amount of NPLs to total loans. 

6. Research Methodology

The  study  adopted  the  explanatory  research  design  since  it  sought  to  determine  causal

relationship between credit management practices (debt collection policy, client appraisal and

lending policy) and dependent variable (loan performance). The research adopted positivism

philosophy because the events of interest were objective and the researcher was independent.

7. Research Findings and Discussion

To  establish  the  relationship  that  exists  between  credit  management  practices  and  loan

performance, multiple regression analysis was computed. The independent variables were the

various  constructs  of  credit  management  practices  namely  debt  collection  policy,  client

appraisal,  lending  policy  and  the  dependent  variable  was  the  loan  performance  of  the

commercial banks. The data used for inferential statistics was both primary and secondary.

8. Conclusions

The  study  concluded  that  debt  collection  policy  has  a  significant  effect  on  the  loan

performance of the commercial banks. This implies that an improvement in debt collection

policy would lead to an improvement in the loan performance of the commercial banks. The

study further concluded that client appraisal has an insignificant effect the loan performance

of  the  banking  sector.  This  shows  that  an  improvement  in  client  appraisal  would  not

necessarily improve the loan performance of the banking sector. The study also concluded

that lending policy has a significant effect on the loan performance of the commercial banks.

This implies that an improvement in leading policy would lead to an improvement in the loan

performance of the banking sector.

9.  Recommendations 

The study recommended that all the commercial banks in Kenya should regularly evaluate

and update practices relating to debt collection policy, client appraisal and lending policy that

are capable of  ensuring that  all credit risks are identified and  recorded from  departmental

level to the institution at large. This is vital more so because of technological innovations in

the banking sector like mobile lending that may limit commercial banks’ ability to evaluate

and manage credit management using traditional methods. The study also recommended that

commercial  banks  should  have  an  independent  internal  control  system  for  conducting

ongoing  assessment  of  the  bank’s  debt  collection  policy,  client  appraisal  practices  and

lending policy. Additionally, the commercial banks should establish proper client appraisal

methods in order to mitigate credit risk. Proper customer credit worthiness system should also

be put in place based on their ability to repay back their credit and customer’s loyalty. 

REFERENCES

Abor,  J.  (2004).  Internationalization  and  Financing  Options  of  Ghanaian  SMEs,  ACTA

Commercii, 4, 60-72.

Ahmed,  S.,  &  Malik,  A.,  (2015).  Credit  management  and  Loan  Performance:  Empirical

Investigation  of  Micro  Finance  Banks  of  Pakistan.  International  Journal  of

Economics and Financial Issues, 5(2), 574-579 

Altunbas Y, Gambacorta  L & Marques-Ibanez  D (2009).  Bank risk  and monetary policy.

ECB Working Paper 1075

Auronen, L. (2003). Asymmetric information: theory and applications, Helsinki University of

Technology, Helsinki

Ayodele, U., Thomas, T.,  & Ajayi, R. (2014). Impact of Credit Policy on the Performance of

Nigerian Commercial Banks.Zenith Bank Plc. Reserch Paper.

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