a
money laundering risk, etc.
All the above mentioned risks force the banks towards insolvency. To avoid solvency risk, banks are suggested
to maintain minimum capital, which is 8% of their risk weighted assets as per international standard but, in
India, as per RBI’s guidelines, it is 9%. Banks in India, are still following the standardized approach to
measure capital for credit risk and market risk. Standardized approach to measure capital for credit risk is a
static frame work and may lead to large capital requirement as almost 100% risk weight is suggested for all
private sector exposures.
LITERATURE REVIEW:
Capital adequacy guarantees the stability of a bank (Leila Bateni, Hamidreza vakilifard, Farshid Asghari,
2014). Capital requirement regulations under Basel I, did not increase the capital ratio of banks in the
developing countries. This implies that while deciding the regulations, factors like business, environment, legal
and cultural factors must be considered ( M Erchad Hussain, M Kabir Hassan). Standard determinants of
capital structure do have power in explaining both book capital and market leverage ( Monica Octavia, Rayan
Brown, 2010). In response to international financial developments after the global financial tsunami in 2008,
the Bank for International Settlements (BIS) proposed BASEL III in 2010, whereby banks have to increase
their minimum capital adequacy ratios year by year with a goal of 10.5% in 2019 ( Yang Li, Yi- Kai Chen,
Feng Sheng Chien, Wen Chih Lee, Yi- Ching Hsu). The capital adequacy ratio determines the ratio of a bank’s
core capital to the assets and off balance sheet liabilities, weighted by the risk. It has been specified that the
value of this coefficient cannot be lower than 8% (Malgorzata Bialas, Adrian Solek, 2010). The positive
relationship between capital adequacy and bank’s profitability suggest that banks with more equity capital are
perceived to have more safety and such advantage can be translated into higher profitability ( O Agbeja, Oj
Adelakum, Fi Olufemi, 2015).Capital adequacy ratio is negatively correlated with proxy variables of lending (
loans), asset quality and management efficiency. However, liquidity and sensitivity are positively correlated.
Indian private sector banks have excessive funds to meet their obligation and have opportunity to give more
advances to public by protecting owner’s stake ( PK Aspal, A Nazneen, 2014). Based on the sample of 24
banks listed on the Indonesia stock exchange, there is a negative and significant relationship with return on
asset. Capital adequacy ratio mediates the effect of non - performing loans on return on assets ( Ni Kadek
Mareti Swandawi, Ni Ketut Purnawati, 2021) Capital adequacy ratio has a positive correlation with the
financial stability of Vietnamese commercial banks during 2010-2020 ( Minh Sang Nguyen, 2021).
Examining a sample of 560US bank holding companies for a period of 2003-2009, results reveal that the
association between the core (Tier I) capital ratio and bank failure becomes significant only if the bank’s
holding company has a Tier I capital ratio of less than 6%. This is the level below which US bank regulators
do not regard banks as being well capitalized (Heba Abou-El- Sood, 2016).
For the smooth flow of creditin an economy, it is essential that banks should be financially sound so as to meet
the various requirements of other fields. Capital adequacy ratio (CAR) is one of the measures which ensures
the financial soundness of bank in absorbing a reasonable amount of loss ( Nikhat Fatima, 2014).
Perhaps the market for unsecured obligations of large banks can provide an “early warning” system to alert
bank investors and regulators about the capital adequacy levels of these banks (Richard H Pettway, 1976).
It was assessed that the influence of binding capital requirements, finding that low regulatory capital buffers
are associated with increased insolvency risk for banks holding greater quantities of non core Tier I and Tier II
capital ( Thomas Conlon, John Cotter, Philip Molyneux, 2020).
Banks encounter with the credit risk as a result of credit quality deterioration ( Goyal, 2010). For the purpose
of assigning risk weights, risks, are categorized as a. exposure to central and state government carrying 0% risk
weight, b. public sector banks carrying risk weight ranging from 0-20%, and c. others carrying carrying 100%
risk weight ( Hull C. John, “Risk Management and Financial Institution”, ISBN 81-317-482-9; First
Impression, p184),