Credit Portfolio Management in Nepalese Commercial Banks- A Journal

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By: Dr. Buddhi Malla

Abstract

Credit portfolio management is a key function for banks (and other financial institutions, including insurers and institutional investors) with large, multifaceted portfolios of credit, often including illiquid loans ( Nario, L.,Pfister, T., Poppensieker T. & Stegemann, U., 2016). After global financial crisis of 2007-2008, the  credit portfolio management function has become most crucial functions of the bank & financial institutions. The Basel III, third installment of Basel accord was developed after crisis to strengthen bank capital requirements by increasing bank liquidity & decreasing bank leverage that encourages banks to measure credit risk of bank’s portfolios. The Basel committee also raises an issue concerning the application of the risk weights used in the capital adequacy framework to determine exposure to risk assets for the purpose of determining large credit exposure (Morris, J. 2001).

The portfolio management of the Nepalese banking sector has been improved remarkably during last 10 years due to the strict regulation of Nepal Rastra Bank. This journal will try to describe the present credit portfolio management practice of Nepalese commercial banks by using qualitative and quantitative methods. In this study, concentration of banks for credit portfolio management has been studied by analyzing security wise loan, product wise loan and  sector wise concentration of loan where the researcher has found assorted outcomes. This research also aims to provide some suggestions to overcome with problems associated with credit portfolio.

Keywords: Banks, basel, credit portfolio, credit risk management, Nepal, non-performing loan.

  1. Introduction:

Lending is the principal business activity for most commercial banks. The loan portfolio is typically the largest asset and the predominate source of revenue. As such, it is one of the greatest sources of risk to a bank’s safety and soundness. Whether due to lax credit standards, poor portfolio risk management, or weakness in the economy, loan portfolio problems have historically been the major cause of bank losses and failures  (Comptrollers of the Currency Administrator of National, 1998).

History shows that the major cause of bank’s failure is lack of proper credit risk management. Credit risk comes from a bank’s dealing with individuals, corporate, banks and financial institutions (BAFI) or a sovereign. It does not necessarily occur in isolation. The same source that compromise credit risk for the bank may also expose it to other risks like operation risk, market risk,  liquidity risk etc. A bad portfolio may attract liquidity problem.The soundness and safety of bank is determined by effective credit risk management adopted by bank. Globally more than 50% of total risk in BAFI is derived from poor credit management. Credit risk has been the headline from last few years in Nepal. Many BAFI have been failed due to the credit risk. Nepal Development Bank Limited, Samjhana Finance Limited, United Bikash Bank Limited and Himalayan Finance Limited has been liquidated due to huge non-performing loans. Still there are 11 problematic BAFI as on mid July 2016 due to credit problem.

Literature Review:

Bonti, Kalkbrener, Lotz & Stahl (2005) has suggested the approach  for identifying  as well as stressing risk concentrations in credit portfolio. The approach to stressing sector concentration uses economic downturn scenarios or market shocks as a starting point and detects concentrations in distinct but highly correlated sectors.

Ivaskeviciute, Macerinskiene & Laura (2008) has suggested that, the loan portfolio should be distributed into sub-portfolios according to activity segments of the bank: large scale projects, corporate and private clients to get more comprehensive results and loan portfolio evaluation.

Afroz (2013) has found that, Bangladesh Krishi Bank, was concentrating its lending to primary agriculture to serve to poor people in rural area.  Later on it has diversified its activities to secondary agriculture. After diversification, the financial position of the bank become more transparent and expected for better result soon.

Morris (2001) stated that, In almost all of the countries reviewed, supervisory authorities set limits on large exposures for banks, generally with a limit of about 25% of a bank’s regulatory capital for an individual large exposure to a single borrower or a closely related group of borrowers.

Winton (1999) suggested that, suggests that regulators must be careful in endorsing diversification across multiple sectors or regions as a goal for banks and  related intermediaries. Although such diversification may reduce the odds of bank failure and  improve bank performance by enhancing monitoring incentives.

Tabak, Fazio & Cajueiro (2010) had studied 96 Brazilian banks and found that, the loan portfolio of Brazilian banks was average, moderate concentrated. He concluded that,  loan portfolio concentration seems to improve the performance of Brazilian banks in both return and  risk of default. The concentration indices were found to be positively related to returns and  negatively related to risks.

  1. Problems and Objectives

Managing credit risk is the major tasks of risk management in banks today and loan portfolio management is essential for better credit risk management. The credit operation of bank determines its credit portfolio management. This research tries to answer the status of loan portfolio management and techniques adopted by Nepalese commercial banks.

The present study attempts to achieve the following objectives:

  • To know loan portfolio management of Nepalese BAFI.
  • To examine the effect of the loan portfolio management in bank’s performance.
  • To examine the factors influencing loan portfolio management in Nepalese BAFI.
  1. Data and Methods

The researcher has used both primary and secondary data has been collected and used in this study. The following methods has been used to complete this study. Primary data has been collected via personal interview, telephone interview, direct observation, questionnaires, focus group discussions, experts opinions etc. The researcher has given priority to collect primary data to address the targeted issues and to interpret data better. The data collected from primary sources is always more reliable with low deviations and errors. secondary data has collected from concerned banks.  Furthermore, some of the data like research articles, information and data has been obtained from central bank and other necessary information has been downloaded from various websites of government office.

The researcher has selected six commercial banks for this research. The sampling has been chosen from government owned bank, international bank, joint venture bank, upgraded from lower class, younger generation and older generation bank on random sampling method. Eight questions has been developed and pre-tested among 20 persons and interviewed with 200 persons and collected primary data via questionnaire method and analyzed with the help of SPSS software.

Both qualitative and quantitative method of research were applied in this research. Qualitative information were collected via individual or group interview, questionnaire and field survey method.  A structural research questionnaire was developed to enquire clear and essential research information. The preliminary finding was discussed with focus groups and experts before conclusion to make research better. The researcher has included the opinion of other stakeholders like regulatory officials and customer before conclusion.

  1. Discussion and Analysis

Bank’s  security wise loan portfolio, sector wise loan portfolio and product wise loan portfolio has been analyzed. The followings standard parameter  has been taken from NRB Directive (2073)  to measure the loan portfolio management of the banks.

  • Real estate loan ≤ 25% of total loan
  • Deprived sector loan ≥ 4.5% of total loan
  • Non-performing loan ≤ 5% of total loan
  • Sector wise loan portfolio ≤ 40% of total loan

The loan portfolio management of the banks can be measured under parameter prescribed by NRB. The real estate loan of banks are below 25% of total loans. Deprived sector loan of Prabhu Bank 4.26% and Mega bank 4.36% is found less than 4.5% but, for the purpose of deprived sector lending it is calculated on the basis of outstanding loan of last 6 months. The outstanding loan of Prabhu Bank as on Mid Jan 2015 was NPR 31,795.65. As per regulatory directives, deprived sector lending of Prabhu will be 6.46%, Similary Mega’s outstanding loan as on mid Jan 2015 was 20870.61, So, deprived sector loan of Mega will be 5.81% as per central bank’s directive. Thus, data illustrates that Nepalese banks are operating under the parameters as that has been issued by NRB, a regulatory body of Nepalese banking sector. Except Prabhu bank, all bank’s non-performing loan is below 5% as per NRB standard, However the average non-performing loan of banks is 2.97%. No banks have exceeded the NRB directive on sector wise loan concentration limit of maximum limit of 40%. The maximum concentration is 32.04% in wholesaler and retailer by RBB.

The study shows that, Nepalese banks are managing good credit portfolio management. Banks are maintaining different loan products like term loan, overdraft loan, trust receipt/import loan, demand /working capital loan, real estate loan, margin lending, hire purchase loan, deprived sector loan, bills purchase loan and other loan. To control over the concentration risk, banks have distributed loans in various sectors like agriculture, tourism, energy, manufacturing, construction, wholesaler and retailers, transportation, real estate, other services and consumption and other loans.

4.1 Credit Portfolio:

Credit portfolio management (CPM) refers to the process of building a series of investments based upon credit relationships and  managing the risks involved with these investments. The composition of credit portfolios may be as per the nature and  distribution of its loans and  may vary upon bank’s credit structure. They may classify total credit exposure into purpose-wise, sector-wise, borrower-type-wise, or even product-wise, security-wise portfolios. It is, however, advantageous to classify large credits into sector-wise portfolios, like priority sector, energy sector, agriculture sector, infrastructure sector, manufacturing sector, trade sector, and  real estate sector portfolios, and  relatively medium and  small-size credits into retail portfolios, like residential housing loan portfolio, auto loan portfolio, personal loan portfolio, education loan portfolio, credit card portfolio, gold loan portfolio etc.

4.2 Credit Portfolio Management in Nepal:

The government and concern authorities are majorly focused on development of the country and all the developing countries achievement shows that overall development of country and it is only possible when a country has sound and  strong economic growth. After various exploration and  studies, the Nepalese authorities have mainly pointed out hierarchy of the sectors which are needed to develop such as Agriculture, Hydropower, Tourism and  Various Industrial Productions. With relation to these mentioned sectors NRB too directs its affiliated Banks and  Financial Institutions through its Directives to be issued every fiscal year and  amends it through circulars as well.

As per directive no. 2 of NRB directive 2073, BAFI should make provision for possible loss on loans according to their due date. Except pass and watch list category, all classification is considered as non-performing loan. Non-performing loan is the major indicator to measure the assets quality of banks.

Classification Criteria of Classification Provision
Pass No dues and dues unto 3 months loan 1%
Watch List Overdue up to 1 months or expired loan or client’s loan has been categorized into NPL in other banks or restructured loan etc. 5%
Substandard Overdue more than 3 months and up to 6 months 25%
Doubtful Overdue more than 6 months and up to 12 months 50%
Loss Overdue more than 12 months 100%

Source: www.nrb.org.np

Similarly, as per NRB directive no.: 3 where the central bank mainly concentrated on the sector wise investment to be disbursed by the Nepalese BAFI in relation to its single obligor limit as well. The macro-economy of Nepal the directives no.: 3, states that for the economic growth of the country like Nepal, Nepalese BAFI need to diversify its investment portfolio to all potential productive sectors. Further it states that BAFI can only investment either funded or nun-funded up to 25% of its core capital to single person, group, firm, company or group relating to the borrower. However, banks and  financial institutions can investment up to 50% of its core capital for the project on hydropower, transmission line and cable car construction, as they are being quoted as priority sector by the Nepalese government. For the investment exceeding 25% of its core capital on hydropower projects power purchase agreement from concern department of ministry should be obtained.

The directives also states that BAFI can limit their investment concentration 40% maximum on a single sector but it has limited only 10% to commercial real estate sector and  15% for residential housing and  real estate sector. However banks and financial institution can limit  25% on real estate and housing in total.

Banks and  Financial Institutions needs to report to the central bank on various timely bases regarding their investment port folio such as report no. 9.3 (sector-wise), 9.3ka (product-wise) and  9.4 (collateral-wise) as on monthly basis, 2.1 (Classifications of Loans), 2.2 (Loan master list and  its provisioning categorization) and  9.12 (Categorization of provision sector-wise) as on quarterly basis, which are being clearly quoted on Directives no.: 9.

NRB Directives no.: 17, quotes that Banks and  Financial Institutions need to lend 5%, 4.5% and  4% of its total investment (six month prior total investment is the base) to the deprived sector of the population by ‘A-Class’, ‘B-Class’ and  ‘C-Class’ respectively. This Directive is mainly designed for the economic empowerment of underprivileged and  rural based populations of the country. Further this directive also states about mandatory investment on priority sector (Agriculture, Energy, Tourism and  Urban Public Transport and  Small and  Cottage Industry) by 20% for ‘A-Class’, 15% for ‘B-Class’ and  10% for ‘C-Class’.

4.3 Findings:

In this study, the portfolio management, concentration of the banks have been studied by analyzing security wise loan, product wise and sector wise concentration of loans.

4.3.1 Security wise Loan Analysis

Loan against gold and silver is considered most secured sector for lending. As per sample testing on security wise loan portfolio management of loan against gold and silver, RBB leads the way with 9.53% followed by Laxmi with 0.65% and Prabhu Bank with 0.14% exposures. Rest of banks have no investment in this sector. The overall average lending is 3.01% on total loans. Similarly, Loan against fixed deposit is also the most secured loan. SBI has highest loan against fixed deposit with 1.96% and followed by SCB 1.30%, Prabhu 0.33%, RBB 0.29%, Laxmi 0.26 and Mega 0.17% whose overall average is 0.68% on total loans.

The data shows that Nepalese banks have lent 87.47% against collateral i.e. fixed and current assets. The data shows that, Mega has highest exposure in loan against collateral with 96.47% and followed by Prabhu 88.93%, Laxmi 88.40, SBI 86.70%, RBB 85.03% and SCB 83.93%.  Loan against guarantee is another security for lending. Nepalese banks have lent against government guarantee, personal guarantee, institutional guarantee etc. SCB has highest exposures in loan against guarantee with 5.92% and followed by SBI 4.51%, Prabhu 3.89%, Mega 2.87%, RBB 2.84% and Laxmi 2.41%. Data shows banks have 3.59% overall average on total loans.

Similarly, Loan against other collaterals is another security which includes loan against bills, credit cards etc. RBB has highest loan against these collaterals with 8.86% and followed by Laxmi 8.28%, SBI 6.82%, Prabhu 6.71%, RBB 2.31% and Mega 0.49% with overall average 3.59% exposures on total loans. As per data, it shows that, it is found out that Nepalese Banks have well managed the security wise loan portfolio. Overall 96.41% of loan of Nepalese banks are secured by fixed or current assets. Only 3.59% loan is against guarantee. Nepalese banks have managed loan portfolio in secured collateral  which helps in to minimize the risk related to relevant directive.

4.3.2 Sectorwise Loan Analysis

Banks have average exposures of 3.72% in agriculture sector where RBB has highest with 6.34%, followed by Prabhu 3.46%, Mega 2.99%, SBI 2.63%, SCB 2.03% and Laxmi 1.57%. Megha has 5.38% in tourism sector and followed by Prabhu 5.33%, RBB 4.66%, Laxmi 1.38%, SBI 0.61% and SCB 0.03%. Banks average loan in tourism sector is 3.17% on total loans.

Laxmi bank has highest lending in energy sector with 4.53% and followed by Prabhu 2.49%, Mega 2.27%, SBI 1.72% and RBB 1.16%. The average lending of banks is 1.96% on total loans. Selected banks have average 19.05% lending in manufacturing sector with highest exposure of 30.24% by SCB and followed by SBI 23.87%, Mega 23.39%, Laxmi 18.57%, Prabhu 16.72% and RBB 12.36%.

 SCB has highest exposure in construction sector with 21.28% and followed by Laxmi with 19.48%,Prabhu 16.16%, RBB 11.90%, SBI 5.48% and Mega 2.35%. The average exposure of banks is 12.75% in average. RBB has highest lending in wholesaler and retailer with 32.09% and followed by Mega 30.84%, SBI 29.54, SCB 26.94%, Laxmi 21.85% and Prabhu 18.18%. Selected bank’s average lending is 27.10%.

Laxmi bank has highest exposure in transportation with 9.90% and followed by SBI 3.24%, Prabhu 3.21%, RBB 2.34%, Mega 1.88% and SCB 0.44%. Average exposure of banks is 3.47. Similarly, the average exposure of banks in real estate sector is 9.22% where Prabhu has highest exposure with 14.92% and followed by Mega 11.48%, Laxmi 9.37%, RBB 9.32%, SBI 5.12% and SCB 4.29%.

Prabhu bank has highest exposures with 9.95% in other service and followed by Laxmi 3.12%, Mega 2.92%, RBB 2.80%, SBI 2.14% and SCB 0.59%. Average exposure of selected banks is 3.72% on total loans. Banks have lent 15.84% in consumption and other loans. SBI has highest with 25.65% exposures and followed by RBB 17.02%, Mega 16.50%, SCB 14%,Laxmi 10.22% and Prabhu 9.59%.

As per the prior and recent data, it is found that Nepalese banks have well managed the sector wise loan portfolio as prescribed by the NRB directives. It also indicates that no Nepalese banks have ever breached the boundary of 40% limitation on sector-wise loan investment. Similarly, the data also shows the average exposure on business wholesaler and  retailer sectors is 27.10%. With all the data and  figure on sector-wise lending, which indicates that Nepalese banks have managed figure on sector wise port folio which again helps in to minimize the risk related to relevant directive.

Nepal being a developing country,  government has highly focused on development of the country through economic growth. After various exploration and  studies, it is found that sector like agriculture, energy and tourism are needed to develop and the potential for the growth of these sectors in the country are optimistically viable. With relation to these mentioned sectors NRB has instructed all its affiliated BAFI through its directives as priority sector lending. However, the result reflects that there  is no any significant investment in propriety sector as the data shows only 3.72%, 3.17% and  1.96% of total loan by major banks of Nepal. It also indicates that Nepalese BAFI have some catch up do in this regard.

As per the directives issued by the central bank & its current data on real estate and  housing sector lending shows that all of the Nepalese banks have followed regulation and  are within the frame of 25% of total loan. The data shows around 9.22% in an average industry to its total lending.

4.3.3 Product wise Loan Analysis

As per sample testing of product wise loan analysis of term loan, Prabhu bank leads the way with 20.32% and followed by Laxmi 16.90%, Mega 15.93%, RBB 13.777%, SCB 6.27% and SBI 5.91% with overall average exposure of 13.88% on term loan.

Similarly, Mega Bank has highest exposures on overdraft loan with 28.49% and followed by Prabhu 17.82%, RBB 15.35%, Laxmi 7.67%, SCB 6.37% and SBI 1.92%. The overall average exposures on this product is 12.69%. Nepalese banks have lent overall average of 4.54% on total loan on trust receipt/import loan. SCB is leading bank with 11.49% exposures and followed by Mega 7.62%, Laxmi 7.48%, SBI 3.79%, Prabhu 3.49% and RBB 0.57%.

Similarly, Nepalese bank’s average exposures on demand and working capital loan is 31.40% where SBI has highest exposure with 48.94% and followed by RBB 37.57%, SCB 27.75%, Laxmi 25.70%, Mega 18.75% and Prabhu 17.61%. The data shows that, SCB has highest exposure in personal housing loan ( up to 10 millions ) with 15.26% and followed by Prabhu 12.41%, RBB 7.49%, Laxmi 4.68%, Mega 4.25% and SBI 3.78% with overall average of 7.86% on total loan.

Similarly, the average exposures on real estate of sampled banks is 6.09% Prabhu has highest exposures with 10.24% and followed by Mega 8.78, SBI 6.66%, SCB 5.60%, RBB 4.13% and Laxmi 3.13% with overall average of 6.09% on total loans. Nepalese banks have lent 1.59% of total loans on margin lending.  Prabhu bank leads the way with 4.58% and followed by Laxmi 2.37%, RBB 1.43%, Mega 0.32%.  SBI and SCB has no exposure in this product.

Similarly, SCB bank in no.1 position in hire purchase loan with 8.85% and followed by Mega 7.59%, Laxmi 7.56%, Prabhu 5.56%, RBB 3.28%, and SBI 0.86% with overall average of 4.93% on total loan. The average exposure of Nepalese banks in deprived sector is 4.85% where RBB has highest exposure with 5.69% and followed by SCB 4.73%, Laxmi 4.62%, SBI 4.51%, Mega 4.36% and Prabhu 4.26%.

Similarly, Laxmi has leads in Bills purchase loan with 3.72% and followed by SBI 1.27%, SCB 0.86%, RBB 0.07%, Prabhu 0.03% and Mega has no exposure. The overall average exposure of banks in this product is 0.87%. SBI bank has highest exposure with 22.36% in other loans and followed by Laxmi 16.16%, SCB 12.84%, RBB 10.66%, Mega 3.91% and Prabhu 3.69%. The overall average exposure of banks in this product is 11.81%.

As per data, Nepalese banks have found out that, well managed product wise loan portfolio to manage credit risk. The portfolio risk is found low due to low concentration in single product. However, the average exposure in demand/working capital loan is 31.40%. This product includes various types of business. So that, the overall risk on this product is low. The banks should increase lending on deprived sector to develop nation’s economy.

4.3.4 Non-performing Loan

The data shows that, SBI bank has low non-performing loan with 0.14% and followed by SCB 0.32%, Mega 0.79%, Laxmi 0.80%, RBB 3.95% and Prabhu 8.83%. Except Prabhu bank, all other banks have below 5% non-performing loan as per standard of NRB directive 2073, issued to BAFI. However, the average non-performing loan of banks is 2.97%.

  1. Conclusion

This study found that, selected commercial banks have managed their loan portfolio as per the standard parameter of NRB directives 2073. All banks have maintained limit of Real estate loan ≤ 25% of total loan, Deprived sector loan ≥ 4.5% of total loan, Non-performing loan ≤ 5% of total loan, Sector wise loan portfolio ≤ 40% of total loan & managed credit risk. Banks Non-performing loan shows that, banks are maintaining good credit risk management practice. However, 96.41% of bank’s lending is on collateral basis which indicates that, banks are conservative in lending. Nepalese banks should increase their lending on priority sector and other various type of project based lending to contribute in development of country.

5.1 Scope for further study

The research has covered the study of 6 commercial banks only which in fact may not reflect the actual face of banking industry of Nepal. Author suggest for more sample banks using more variable to analyze the impact of other macro & macro economy variable on credit portfolio management as well as priority sector lending & impact on economy development etc.

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