An
Empirical Study on NPA and its Impact on Profitability with special reference
to Punjab National Bank
Mr. Rajesh Bhandari
Manager- Accounts and Finance, Shail Educational and Welfare Society,
Shail Group of Institution, Opposite IIM, Pithampur Road, Rau Indore, Madhya Pradesh
*Corresponding Author E-mail: rb@indoreinstitute.com
ABSTRACT:
Today
Non-performing assets are one of the major concerns for all the banks in India.
NPAs reflect the overall performance of Indian banks as NPA of the bank
increases on the other hand profit of the bank deceases. The issue of
Non-Performing Assets is become a hot topic in the financial world in India
today. The increase of NPAs is not only affecting the profitability of the
banks but also the country’s economy. To improve the profitability, the NPAs
have to be scheduled. The problem of losses and lower profitability is because
of Non-Performing Assets (NPAs) and liability mismatch in banks and financial
sector is totally depending on credit risk management in their business. This study provides an
analysis of profitability, advances of bank indicators with a focus on the
non-performing loans (NPAs) of Punjab National Bank. The empirical analysis
demonstrates the relation between Net NPA,
Advances and Net Profit.
KEY WORDS: Non Performing
Assets, Profitability, Net Profit, Gross NPA, Net NPA and Advances.
Today
Non-performing assets are one of the major concerns for all the banks in India.
NPAs reflect the overall performance of Indian banks as NPA of the bank
increases on the other hand profit of the bank deceases. The issue of
Non-Performing Assets is become a hot topic in the financial world in India
today. The increase of NPAs is not only affecting the profitability of the
banks but also the country’s economy. To improve the profitability, the NPAs
have to be scheduled. The problem of losses and lower profitability is because
of Non-Performing Assets (NPAs) and liability mismatch in banks and financial
sector is totally depending on credit risk management in their business.
Credit Risk Management has got much importance in the
Indian Economy in today’s liberalization period. The main challenges for the
banking sector are to identifying the risk and how to manage it. The risk is a
part of the banking business. The main role of bank is of mediator for those
requiring resources and having resources. For risk management various risks
like market risk or operational, risk credit risks have to be converted into
one single measure. Therefore, it is necessary that measurement of credit risk
should be in tandem with other measurements of market risk and operation risk
so that the requisite composite estimate can be worked out. So, in banking
sector credit risk management is being most important task of all as it
directly effect on NPA. An attempt is made in
this paper that what is NPAs? And their impact on profitability.
2. NPA: A Non-performing asset (NPA):
Is defined as a bad
loan or credit facility for which the interest and/or installment of principal has remained
due for a long/specified period of time. In simple terms, an asset is tagged as
non-performing asset when it stops to generate income for the financial
institutions/lender. When the borrower has failed to pay interest or
principle amount for 90 days that loan is considered to be a non-performing
asset for the lender. Non-performing assets are problematic for financial
institutions like banks as their bigger part of income is depend on interest
payments. Troublesome pressure from the economy can lead to a sharp Increase
rate of non-performing loans in India is due to
troublesome pressure from the economy and often results in massive write-downs.
For better transparency and international
best practices, it has been decided in the year 2004 to adopt the ‘90 days’
overdue’ norm for NPA. Accordingly, with effect from March 31, 2004, an advance
or a non-performing asset (NPA) is a loan where;
· In respect of term loan: when the Interest
and/or installment of principal remain overdue for more than 91 days.
· In respect of an Overdraft/Cash
Credit (OD/CC): when the account remains ‘out of order’ for more than 90 days.
· In respect of bills purchased or
discounted: when the bill remains overdue for more than 90 days.
· In case of an advance granted for agriculture purpose: when the interest
and/or installment of principal remains overdue for two harvest seasons but
for a period not exceeding two half years.
· For other account: when any amount to be
remains overdue for a period of more than 90 days.
· In respect of cash credit facility: non
submission of Stock Statements for 3 Continuous Quarters.
· For Cash Credit/Over Draft/EPC/PCFC: No
active transactions in the account for
more than 91days
Further Non-performing assets
categories into the three other types of NPA based on the reliability of the
dues and period for which the asset has non-performing:
1. Sub-standard assets: NPA for a period not
more than 12 months. For sub-standard asset the bank has to maintain 15% of its
reserves.
2. Doubtful Assets: NPA for a period more than
12 months.
3. Loss assets: It has been identified by the
bank or central bank inspectors, external or internal auditor. But the amount
of loan has not been written off, partly or wholly and it is not recoverable.
2.1.
Causes of NPA: The reasons
for NPAs are “Bad Loans” or defaults. Default, in the financial term, is the
non-payment of a loan installment. This is due to the following reasons:
· Bad lending practices/ Usual banking
operations
· Recession (as happened in Japan and South
Asia)
· External environments (business cycle,
natural calamities, Disease Occurrence, etc )
· Incremental component (due to internal
management of bank, like terms of credit, credit policy etc)
2.2. Impact of NPA: The impact of NPAs does not just reflect badly in a
account books of banks, they also have negative impact the national economy.
Following are some of the impact of NPAs:
· Banks may begin charging higher interest
rates on some products to compensate Non-performing loan losses
· Bad loans imply redirecting of funds from
good projects to bad ones. Hence, the economy suffers due to loss of good
projects and failure of bad investments.
· Liquidity problems may ensue, when bank do
not get loan repayment or interest payments.
· Depositors do not get rightful returns and
many times may lose uninsured deposits. Bank shareholders are adversely
affected
3. REVIEW OF LITERATURE:
Misra and Dhal (2009). In their
study “Pro-Cyclical Management of Banks’ Non-Performing Loans by the Indian
Public Sector Banks” revealed that NPAs are influenced by three major sets of
factors, i.e., bank specific indicators relating to asset size, terms of
credit, financial innovations (non-interest income), credit orientation, and
the business cycle shocks and regulatory capital requirement. Using regression
model, it is found that in the presence of macroeconomic shocks, the terms of credit
variables such as maturity, interest rate, collateral and bank specific
variables had significant impact on the banks' non-performing loans.
Kaur and Singh (2011), in their study revealed that in order to improve the
efficiency and profitability, the NPAs have to be scheduled. Various steps have
been taken by RBI and central bank to reduce the rate of NPAs in India. And
because of this level of NPA of Indian Bank have decline. But more efforts need
to be taken. As per the international standards, the NPAs level of our banks is
still very high. Both
private and public banks showed a declining trend in gross and net NPAs over
the study period but public sector banks have higher ratio as compare to
private sector banks reason behind that private sector banks have a secured
loan policy as compares to public sector banks. Gross and net NPAs have
increased in absolute terms till 2002 and started declining after that, yet
they have declined significantly in relative terms in the given period.
Gumparthi, Khatri and Manickavasagam (2011), the amount of risk assessed and
which is now experienced in respect of these clients were found to be similar
in the case of the weighted average model because it has higher predictive
power. Clients with low scores and high risks were found to be defaulters on
the other hand, while those with high scores and low risk have been prompt
payers. The companies which operate in medium risk or in tolerable were having
a high risk NPA. The new discriminate model can be used to identify NPAs. This
will help the Indian bank to reduce the level of their non-performing assets.
For evaluating the credit worthiness of the clients qualitative factors play a
major role.
Dash and Kabra (2010), it
has been revealed from the study that the large banks are not necessarily more
effective in screening loan customers when compared to their smaller
counterparts as there is no significant relationship between the size of a
banking institution and the level of NPAs it reports.
Uppal (2011) reviewed the banking
sector reforms’ policy, crucial issues and agenda for the future on the basis
of certain parameters like profitability, productivity and NPAs’ management. In
the post-banking sector reforms period, the study concludes that foreign banks
and new private sector banks are better in performance and profitability and
NPA as compared to our public sector banks.
Arora (2013), it can be
revealed that Indian banks efficiently manage credit risk. The results also
revealed that there is a significant difference between the Private sector and
Indian Public banks in Credit Risk Analysis. Credit Risk Analysis and its
management is much better in New Private Sector banks and Old Private sector
banks, as compared to its counterpart State Bank of India and its associates
and other public sector banks.
4. STATEMENT OF THE PROBLEM:
Non-performing
Assets (NPA) has emerged as a biggest threat to banking industry in India for
last decades. Despite taking various measurable steps to control the NPA by RBI
and Finance Ministry, concrete results are not appearing. The severity of the
problem is that almost every branches of PNB have increase rate of NPA. Hence,
the present study has focused on the trend of non-performing assets of Punjab
National Bank for the last five years and the impact of NPA on Net Profit.
5.
OBJECTIVES OF THE STUDY:
1.
To study the Total Advances, Net Profit, Gross NPA and Net
NPA of PNB.
2.
To study the impact of NPA on in PNB’s Net Profit.
3.
To examine the gross NPAs and net NPAs of PNB.
4.
To compare the total advances, net profits, gross NPA and net
NPA. .
5.
To suggest measures to control the menace of NPAs in PNB.
6. RESEARCH METHODOLOGY:
Methodology
describes the research route to be followed, the instruments to be used,
universe and sample of the study for the data to be collected, the tools of
analysis used and pattern of deducing conclusions.
6.1
Scope of the Study:
The present
study of Non-performing assets is confined and restricted to the boundary of
Punjab National Bank only and data is analyzed since 2011up to 2015.
6.2 Data
Collection:
Data is
gathered from the secondary sources to achieve the aforesaid objectives. The
data is collected from the Internet, RBI bulletins, research papers and the
annual reports of Punjab National Bank for the period of six years from 2011 to
2015.
6.3
Tools of Data Analysis:
The data
collected from the secondary sources relating to NPAs has been analyzed and
tabulated and drawn the appropriate tables. Interpretations were made based on
table.
6.4 Data
Analysis:
The data
has been analyzed by using tables and coefficient of correlation. Table is used
to compare total advances, gross NPA, net NPA and profits of PNB. By using the
coefficient of correlation determine whether there is any relation between Net
Profits and Net NPA of PNB or not. Statistical tool like correlation has been
used. The study is confined a period of five years i.e., from 2011 to 2015.
7. RESULTS:
Table – 1: Total Advances Compared with Net
Profit, Gross NPA andNet NPA of PNB
|
Year |
Total Advances |
Gross NPA |
Net NPA |
Net Profit |
% of Gross
NPA on Total Advances |
% of Net NPA
on Total Advances |
% of Gross
NPA on Net Profit |
% of Net NPA
on Net Profit |
|
2010 - 2011 |
242,107.00 |
4379 |
2039 |
4433 |
1.8 |
0.84 |
98.78 |
46.00 |
|
2011 - 2012 |
293,775.00 |
8720 |
4454 |
4884 |
3.0 |
1.52 |
178.54 |
91.20 |
|
2012 - 2013 |
308,725.00 |
13466 |
7237 |
4748 |
4.4 |
2.34 |
283.61 |
152.42 |
|
2013 - 2014 |
349,269.00 |
18880 |
9917 |
3062 |
5.4 |
2.84 |
616.59 |
323.87 |
|
2014 - 2015 |
380,534.00 |
25695 |
15397 |
3343 |
6.8 |
4.05 |
768.62 |
460.57 |
(Source:
Annual Report of PNB)
Interpretation: From the above table it is clearly
revealed that the total advances are increasing continuously during 2010-11 to
2014-2015 which shows that the bank’s performance is satisfactory. But on the
other hand the Gross NPA and Net NPA is also increases at higher rate than
advances during 2010-11 to 2014-2015 which shows that the management of NPA in
PNB is not satisfactory.
From the above
table it is also find that the total advances is increasing every year but the
Net profit is increasing only up to 2011-12 after that it is declining every
year. This is because of NPA, which is increasing at very higher rate at every
year. Thus, it shows that the credit management of PNB is not up to the
standard and also recovery from borrowers is very satisfactory.
Above table
shows the Net NPA as percentage of total advances and Gross NPA as a percentage
of total advances. In 2010-11 the Gross NPA is 1.8% of total advances and in
2014-15 it is 6.8%. The Net NPA as percentage of total advances is 0.84 in
2010-11 and 4.05% in 2014-15. This shows that credit risk management of PNB is
poor as both are increasing continuously during the study period. Hence, the
PNB management should give more attention to reduce their NPA level as it is
clearly have a negative impact on PNB’s net profit.
Relationship
between NPA and Net Profit:
The correlation is one of the most common and most useful statistics. A
correlation is a single number that describes the degree of relationship
between two variables.
Calculating the Correlation:
The
formula for the correlation is:
Table
2: Calculation of Correlation with NPA and net profit
|
Year |
X (NPA) |
Y (Net Profit) |
X2 |
Y2 |
XY |
|
2010 - 2011 |
2039 |
4433 |
4157521 |
19651489 |
9038887 |
|
012 - 2013 |
7237 |
4748 |
52374169 |
22543504 |
34361276 |
|
2013 - 2014 |
9917 |
3062 |
98346889 |
9375844 |
30365854 |
|
2014 - 2015 |
15397 |
3343 |
237067609 |
11175649 |
51472171 |
|
N=5 |
39044 |
20470 |
411784304 |
86599942 |
146991524 |
By using the above formula: r=0.9683
Interpretation: From the above table it is revealed that
the coefficient of correlation is equal to -0.9683. It means that there is a
high degree of positive correlation between Net NPA and Net Profit. It can be
said that when NPA increase, the net profit is also increase. As NPA is
directly related to advance through from which banks have earned through this
advance and when NPA increase it effect the income of the bank resulted in
decrease in profit. The main reason of this is poor credit risk management of
the bank.
7. FINDINGS OF THE STUDY:
1. Gross NPA and Net NPA of
PNB are increasing every year at very high rate during the studied period. As
shown from the table -1 Gross NPA as compared to 2010-2011(i.e.4379) is
increased by 486% in 2014-2015 (i.e.25695). Net NPA is also increased by 655%
which is very high as compared with increase in the percentage of total advance
(57%) in last five years. It clearly shows the poor credit risk management
system of the Punjab National Bank.
2. Total advances given by
PNB are increasing continuously but the net profit is decreasing year for the
last three years and shown no sign of improvement and reason behind this is
increase in NPA at very high rate.
3. Because of mismanagement
of credit risk in PNB there is a positive relation between Total Advances, Net
Profits and NPA of bank which is not at all good for the future of bank as
today’s decrease in profit will very soon converted into loss for the bank and
it is not a good sign for any bank.
4. Positive relation between
Net NPA and Net profits as the bank is not properly following the KYC laded by
the RBI.
5. There is an adverse effect
on the Profitability and Liquidity of Punjab National Bank. Because of this
bank will be unable to give new credit to customers in market.
8.
CONCLUSION:
The increased
level of NPA in every coming year and decreasing profit is remained as a area
of concern for the Punjab National Bank as it indicates inefficiency of credit
risk management. Today PNB should take effective pro-active measures to control
Non-Performing Assets along with the assistance of Finance Ministry and the
Reserve Bank of India. Indian Bank is doing its level best to trim down its NPA
and will definitely succeed by following the right legal and diplomatic ways to
recover the same. The NPAs level of PNB is very high as per national or
international standards. For any bank it is highly impossible to have zero
percentage NPAs with any standard. But at least PNB can try to reduce it in
coming year as it competing with foreign banks to maintain international
standard. The PNB should ensure before giving any loan they should only give
loans to creditworthy customers as prevention is always better than cure and
should follow KYC very strictly.
9. SUGGESTIONS:
1. KYC should
be strictly followed by the bank to avoid increase in NPA.
2. A proper Credit Risk Management should be developed
and evaluate regularly and also credit appraisal and performance evaluation
method should be adopted.
3. Procedure of
recovery of Loan should be strict.
4. Banks
employees should be properly trained on credit risk management system.
10. REFERENCES:
1. Mishra, B. M., and Dhal, S. (2010). Pro-cyclical
management of banks’ non-performing loans by the Indian public sector banks. BIS Asian Research Papers.
2. Kaur, K., and Singh, B. (2011). Non-performing
assets of public and private sector banks (a comparative study). South Asian Journal of Marketing and
Management Research, 1(3),
54-72.
3. Gumparthi, S., Khatri, S.,
and Manickavasagam, V. (2011). Design and development
of credit rating model for public sector banks in India: Special reference to
small and medium enterprises. Journal
of Accounting and Taxation, 3(3),
105.
4. Dash M. K. and Kabra G., The
Determinants of Non-Performing Assets in Indian Commercial Banks – An
Econometric Study, Middle Eastern Finance and Economics (Euro journals
Publishing Inc.), 2010
5. Uppal, R. K. (2011), “Banking Sector Reforms: Policy Implications and Fresh
Outlook”, Information Management and Business Review, Vol. 2, No. 2, pp.55-64.
6. Arora, S. (2013). Credit Risk Analysis in Indian
Commercial Banks-An Empirical Investigation. Asia-Pacific Finance and Accounting Review, 1(2), 25.
Received on 07.07.2016 Modified on 15.07.2016
Accepted on 18.09.2016 © A&V Publication all right reserved
Asian J. Management. 2016; 7(4): 272-276.
DOI: 10.5958/2321-5763.2016.00041.X