scholarly journals Bad Loans of Public Sector Banks in India: A Panel Data Study

2019 ◽  
Vol 5 (1) ◽  
pp. 22-30
Author(s):  
Kandela Ramesh
Keyword(s):  
Public Sector ◽  
Panel Data ◽  
Financial Stability ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Relationship ◽  
Banking System ◽  
Capital Adequacy ◽  
Public Sector Banks ◽  
Bad Loans

The soundness of the banking system is necessary for economic advancement and financial stability. In the contemporary era, the Indian banking system has suffered from the accumulation of substantial non-performing assets (NPAs), especially in the public sector banks (PSBs). This article examines the financial determinants of bad loans in the Indian PSBs with the help of panel data regression analysis. Panel dataset of 21 Indian PSBs for eight years from 2010 to 2017 is used for the study. For analysis, net non-performing assets (NNPAs) as a dependent variable and financial indicators as independent variable are used. Using the random effect model, it is found that credit–deposit ratio, loan maturity, and return on assets have a negative relationship with NNPAs. These factors have an association with a lower level of NPAs. Operating expenses and capital adequacy ratio have an insignificant effect on NNPAs. On the other hand, factors such as priority sector loans, collateral values, and non-interest income have a positive impact on NNPAs. These factors are an indication of a higher level of bad loans and are adding to the accumulation of NPAs in PSBs.

Assessing the Inter Bank Disparity in Non-Performing Assets (NPAs) Management in Indian Public Sector Banks

GIS Business ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. 49-59
Author(s):  
Dhananjaya K. ◽  
Krishna Raj
Keyword(s):  
Public Sector ◽  
Financial Stability ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Banking System ◽  
Financial System ◽  
Public Sector Banks ◽  
Recovery Mechanisms ◽  
The Stability ◽  
The Global Financial Crisis

In a bank-dominated financial system like India, the strength of the overall financial system or financial stability highly depends on the soundness of banks. Indian Banking system proved to be strong and resilient during the global financial crisis of 2008. But of late, there has been increased concerns about the continued deterioration in the stability of the banking sector. Financial stability report of RBI confesses to the fact that the risks to Indian banking sector have been increasing in the post-recession period particularly the risk of accumulating NPAs. This study attempts to analyse the trend in profitability, NPAs, and the effectiveness of recovery mechanisms and interbank disparity in NPA management with respect to public sector banks. We found that the profitability of public sector banks is declining in the post-crisis period and the amount of NPA has been on the rise. Further, the recovery mechanisms have proved to be ineffective in containing the problem of bad debts.

scholarly journals The Determinant of Financial Performance of Indian Public Sector Banks- A Panel Data Approach

2020 ◽  
Vol 11 (5) ◽  
pp. 285
Author(s):  
Vikram Jeet ◽  
Parvesh Kumar Aspal
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Research Work ◽  
Banking System ◽  
Capital Adequacy ◽  
Public Sector Banks ◽  
Panel Data Regression ◽  
Data Regression ◽  
Earning Quality ◽  
Asset Quality

In the accelerated development of an economy, the role of a vibrant banking system and financial structure is considered as highly indispensable. The banking sector is recognized as an important element to portrait the financial and economic strength of a country. The economic importance of the banking system may be considered in the form of capital formation, inspiring innovation, monetization, and facilitator of monetary policy. The present research work investigates the association between banks' profitability and the banks’ specific factors of Indian Public Sector Banks. The research work is based on secondary data drawn from annual reports of banks from the period of 2015 to 2019. The panel data regression statistical technique has been employed to vindicate the influence of explanatory variables viz. Capital Adequacy, Human Capital, Liquidity, Management Efficiency, Asset Quality, and Earning Quality, which have been employed as independent variables and Return on Equity, as the dependent variable. Panel data regression model results have reported that the regression coefficients are found statistically significant and the high value of adjusted R- square expresses the overall best fit of the fixed effects model. A significant positive relationship has been found between the financial performance of bank (ROE) and human capital, liquidity, management efficiency, and asset quality. Whereas capital adequacy and earning quality of the banks have an insignificant impact on the profitability of banks. Hence, the financial performance evaluation enables the banks to analyze their financial strength and to follow necessary protective initiatives for its sustainability.

Indian corporations are unlikely to set up banks

2020 ◽  
Keyword(s):  
Public Sector ◽  
Central Bank ◽  
Banking System ◽  
Capital Adequacy ◽  
Content Type ◽  
Public Sector Banks ◽  
The Government ◽  
Set Up ◽  
Bad Debt

Significance The government and central bank are looking for ways to strengthen the country’s banking system, which is beset by low capital adequacy ratios (CARs) and rising non-performing assets (NPAs). India’s leading conglomerates are asset rich, and their profitability is growing. Impacts The RBI will come under pressure to increase regulation of private as well as public sector banks. Many state-owned banks will merge in a bid to reduce their bad debt. Small NBFCs will face a challenge to sustain liquidity.

scholarly journals Liquidity Management and Financial Performance of Microfinance Institutions in Kenya

2020 ◽  
pp. 943-953
Author(s):  
Alex Muriithi Njue ◽  
Samuel Nduati Kariuki ◽  
Duncan Mugambi Njeru
Keyword(s):  
Central Bank ◽  
Financial Performance ◽  
Financial Institution ◽  
Random Effect ◽  
Management Strategies ◽  
Random Effect Model ◽  
Negative Relationship ◽  
Capital Adequacy ◽  
Microfinance Institutions ◽  
Liquidity Management

Sound liquidity management is integral for any financial institution’s stability and profitability, since deteriorating liquidity management is the most frequent cause of poor financial performance. As with any financial institution, the biggest risk in microfinance sector is lending money and not getting it back leading to liquidity problems as most of them have no access to lender of the last resort which is the Central Bank of Kenya. The study sought to investigate the effect of liquidity management on financial performance of microfinance institutions in Kenya. The target population of the study was all the twenty-six microfinance in Kenya that are members of Association of Microfinance Institutions and were licensed by the Central Bank of Kenya as at 2017. A census of all the twenty-six 26 Microfinance Institutions in Kenya was conducted for five years from 2012 to 2016. Secondary data on the study variables was gathered from the audited financial statements of the Microfinance Institutions. The study employed random effect model on a 5-year panel data from 2012 to 2016 on all the 26 Microfinance Institutions in Kenya. The study found a positive relationship between capital adequacy and financial performance and a negative relationship between asset quality, maturity gap and financial performance. The study would help Microfinance Institutions as they would use the research findings to develop liquidity management strategies to enable Microfinance Institutions improve on their financial performance.

scholarly journals Pengeluaran Pemerintah dan Indeks Pembangunan Manusia (IPM) Di Provinsi Bengkulu

2018 ◽  
Vol 1 (1) ◽  
pp. 25
Author(s):  
Aan Zulyanto
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Relationship ◽  
Development Index ◽  
Significant Difference ◽  
The Government ◽  
Main Components

Human Development Index (HDI) is one indicator to evaluate the government performance. This index is consist of several main components such as education, health, and economy. This study aims to see how the effect of government spending on education, health, and infrastructure on the Human Development Index in the province of Bengkulu. It also analyzes the differences of HDI level in main and proliferation region as a response to regional autonomy in Indonesia. This Study uses panel data for kabupaten-kota in Bengkulu province during the period 2007-2013. It uses Random Effect Model (GLS) as estimation technique, based on formal testing against several estimation techniques associated with panel data. The results are the education spending has significant positive effect on the HDI. Substantial budget allocations for education that can improve HDI in Bengkulu province. While health and infrastructure spending are not significant, but it shows a negative relationship. It indicates the inefficiency and inaccuracy targets of the health budget and infrastructure in the Bengkulu province. Meanwhile, the study also finds a significant difference in the level of HDI, where main regions have HDI levels higher than the expansions.

scholarly journals Determinants of capital adequacy ratio in Kuwaiti banks

2015 ◽  
Vol 4 (4) ◽  
pp. 315-322 ◽  
Author(s):  
Moeidh Alajmi ◽  
Khalid Alqasem
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Negative Relationship ◽  
Fixed Effect Model ◽  
Capital Adequacy ◽  
Dividend Payout ◽  
Return On Equity ◽  
Five Factors ◽  
Effect Model ◽  
Capital Adequacy Ratio

The aim of this study is to identify the effects of seven internal factors of five conventional Kuwaiti banks on capital adequacy ratio (CAR). The five factors are: Loans to Assets, Loans to Deposits, Non-Performing Loans to Total Loans, Return on Assets, Return on Equity, Dividend Payout and Total Liability to Total Assets. The study covers the period from 2005 to 2013. The study shows that under fixed effect model, variables DIVIEDEND, LAR, LDR, NPLLR, and ROE do not have any impact on capital adequacy ratio. However, SIZE has a significant and negative relationship with capital adequacy ratio. Also, ROA shows a significant and negative relationship with capital adequacy ratio. Under random effect model, results indicate that CAR is adversely affected by bank’s SIZE (total liability to assets), and ROA has a significant and negative relationship with capital adequacy ratio, However, Loan to Deposit Ratio (LDR) showed a significant and positive relationship with capital adequacy ratio. On the other hand, dividend payout, loans to assets, Non-Performing Loans to Total Loans and Return on equity do not have significant effect on CAR under random effect model.

scholarly journals BANK-SPECIFIC AND MACROECONOMIC DETERMINANTS OF NON-PERFORMING LOANS OF COMMERCIAL BANKS IN BANGLADESH

2019 ◽  
Vol 1 (1) ◽  
pp. 86-101
Author(s):  
ASM Towhid ◽  
Shinta Amalina Hazrati Havidz ◽  
Mohammed Ameen Qasem Ahmed Alnawah
Keyword(s):  
Panel Data ◽  
Commercial Banks ◽  
Inflation Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Data Modeling ◽  
Commercial Banking ◽  
Capital Adequacy ◽  
Future Research ◽  
Effect Model

The prime objective of this research is to identify the main determinants of non-performing loans in the commercial banking system of Bangladesh for the period 2011-2016 using panel data modeling. This paper uses balanced panel data method to examine both bank-specific (return on average assets, net loans to deposit ratio, bank size, cost-to-income ratio, and capital adequacy ratio) and macroeconomic (real GDP growth rate and inflation rate) variables. To attain the objectives, the present research analyzed historical data and panel data model using secondary data. To examine panel data modeling, the researcher considers 16 private commercial banks in Bangladesh and executed pooled OLS model, fixed effect model, random effect model and random effect with the robust standard error. The researcher found a negative significant relationship for return on average assets, net loans to deposit ratio and inflation rate in relation to NPLs and results are supporting the previous researcher. Based on the findings, the study offers some valuable strategies to the management to improve return on average assets, net loans to deposit ratio and inflation rate to reduce the NPLs at least under the tolerance level. The study also delineates the limitations of this work and direction for future research.

Analysis of Financial Performance of Public Sector Banks in India: CAMEL

2020 ◽  
pp. 097674792096686
Author(s):  
Yudhvir Singh ◽  
Ram Milan
Keyword(s):  
Public Sector ◽  
Banking Sector ◽  
Positive Impact ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Factors Affecting ◽  
Public Sector Banks ◽  
The Government ◽  
And Performance ◽  
Asset Quality

Public sector banks have been merged by the government in the last few years. This is the rationale behind conducting this study. The purpose of this article is to determine the factors affecting the performance of public sector banks in India and the interrelationship between bank-specific determinants and performance of public sector banks. In this article, we shall analyse the financial data of all the public sector commercial banks for a period spread across 11 years (2009–2019); Capital adequacy, Assets quality, Management efficiency, Earning, and Liquidity (CAMEL) has been used as a performance determinant; system generalised method of moments (GMM) analysis has been used to find the effect of determinants on the performance measurement of public sector banks; and CCA (canonical correlation analysis) has been used to find the interrelationship between the bank-specific determinants and the performance of public sector banks. The finding has important implications in terms of performance in the banking sector. Certain limitations of this study are: It is based on secondary data. The study only covers the financial aspects and not the non-financial aspects. It is found that the asset quality is negatively related with performance of public sector banks. Liquidity and inflation are inversely related to performance of public sector banks in India. Capital adequacy is positively related with banks’ performance, but inversely related with banks’ interest margin. GDP growth has a significant positive impact on banks’ performance, but inversely related with banks’ interest income. Inflation rate is inversely related with banks’ performance. Banking sector reforms are insignificantly related with banks’ performance.

scholarly journals Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

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