scholarly journals AN ANALYSIS OF FACTORS AFFECTING NON-PERFORMING ASSETS IN INDIAN BANKING SECTOR

2021 ◽  
pp. 24-29
Author(s):  
Bhabani Mishra
Keyword(s):  
Exchange Rate ◽  
Unemployment Rate ◽  
Banking Sector ◽  
Negative Impact ◽  
Fixed Effect ◽  
Specific Factor ◽  
Macroeconomic Indicators ◽  
Specific Factors ◽  
Bad Assets ◽  
Bank Specific Factors

Deterioration of asset quality destabilizes the financial system by adversely affecting the efficiency, profitability, solvency and liquidity of the banking sector. Both macroeconomic and bank specific factors should be analysed properly to know their strength and direction of impact on the bad assets to have effective NPA resolution mechanism. Unemployment Rate Inflation, Economic Growth, Export rate, Exchange rate, Fiscal Deficit ratio are the macroeconomic indicators and Return on Assets, Credit Deposit ratio, Net Interest Margin are the bank specific factor that are taken from 2003-04 to 2019-20 to explain the variability in Non-performing assets of Public sector and Private sector banks. Fixed effect estimation with robust clustered standard error is used for the panel data regression. Paper found that except unemployment rate all other variables have significant impact on bad assets. Bank specific factor have strong negative impact on the dependent variables. Only exchange rate affects the non-performing loans positively but other macroeconomic variables are negatively associated. KEYWORDS: Non-Performing Assets, Macroeconomic indicators, bank specific factors, Fixed effect

scholarly journals The impact of macroeconomic and bank-specific factors toward non-performing loan: evidence from Indonesian public banks

2017 ◽  
Vol 12 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Hanifan Fajar ◽  
Umanto
Keyword(s):  
Panel Data ◽  
Banking Sector ◽  
Negative Impact ◽  
Good Condition ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Specific Variable ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The present study focuses on the need for banking sector to be more reactive when facing globalization that could bring impact on banking industries complexity. Based on empirical studies, there is a need to analyze non performing loan determinants comprehensively using macroeconomic and bank-specific factors to make a good condition on bank, because combining macroeconomic and bank-specific variable as NPL determinants has made a big improvement to analyze NPL. The object of present study is 20 Banks listed in Indonesia Stock Exchange (IDX) between q12005-q42014. Using dynamic panel data GMM-system method shows that the previous period of NPL (non performing loan), change of PDB (Gross Domestic Product) and inflation rate have a significantly negative impact on NPL. However, BOPO (Operations Expenses to Operations Income) and ROE (Return on Equity) has a significantly positve relationship to NPL. On the other hand, this research does not find any significance on BI rate (interest rate), solvency ratio, and size to NPL. From the result, it can be concluded that combining macroeconomic and bank-specific variable could be an alternative method to analyze NPL determinants on bank. Keywords: nonperforming loans, banks, credit risk, globalization, dynamic panel data, banking industries. JEL Classification: G21, E44, E51, E5, F60

scholarly journals Macroeconomic Dynamics, Bank-specific Factors and Deposit Mobilization of the Nigerian Banking Sector

2019 ◽  
pp. 1-16
Author(s):  
Azolibe, Chukwuebuka Bernard
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Banking Sector ◽  
Government Expenditure ◽  
Macroeconomic Dynamics ◽  
Lending Rate ◽  
Specific Factors ◽  
Nigerian Banking ◽  
Bank Specific Factors

This study critically examined the nexus between macroeconomic dynamics, bank-specific factors and deposit mobilization of the Nigerian banking sector. Macroeconomic dynamics was proxied by inflation rate, lending rate, exchange rate, government expenditure, unemployment rate and Gross domestic product (GDP) while bank-specific factors was proxied by deposit interest rate, branch network expansion and bank’s liquidity. The study which is ex-post facto, relied mostly on secondary data which were collected through the Central Bank of Nigeria (CBN) and National Bureau of Statistics (NBS) statistical bulletin from 1985-2018. Multiple regression Ordinary Least Square (OLS) statistical tool was applied to establish the like fit to the observed data and the degree of relationship that exist between variables. The granger causality test was employed to establish the causal relationship between the variables. Findings revealed among others that inflation rate measured by the consumer price index and deposit interest rate have negative and significant relationship with deposit mobilization in Nigeria. Exchange rate, unemployment rate and loan-to deposit ratio have negative and insignificant relationship. Lending rate and Government expenditure have insignificant positive relationship while it was only Gross domestic product and number of bank branches that have positive and significant relationship with deposit mobilization in Nigeria. It was recommended among others that deposit interest rate should be fixed based on the level of customer’s deposit so as to act as compensation against the rising trend in inflation rate and also, banks should be more socially responsive by partnering with the Government and other private sectors in sponsoring various entrepreneurship and skill acquisition training programmes in the country that are employment driven. This will ensure that a good number of the unemployed persons are into paid employment and are earning. This will in turn boost their deposit base.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.

scholarly journals Banking Sector Performance and Political Stability’s Impact on Economic Growth in Pakistan

2018 ◽  
Vol III (I) ◽  
pp. 81-89
Author(s):  
Junaid Khan ◽  
Muhammad Faizan Malik ◽  
Muhammad Ilyas
Keyword(s):  
Economic Growth ◽  
Development Process ◽  
Banking Sector ◽  
Political Stability ◽  
Time Frame ◽  
Long Term Stability ◽  
Specific Factors ◽  
Sector Performance ◽  
Bank Specific Factors

This paper empirically finds the link between the banking sector performance and political stability on Economic growth. Panel data was used encompassing the time frame from 2006 to 2016 for banks operating in Pakistan. This paper main purpose at discovering that the banking sector performance, political stability, and other bank-specific factors have a vital impact on enhancing the procedure of economic growth in Pakistan. “Predictable outcomes suggest that economic growth in Pakistan is in long-term stability relationship; banking sector and political stability have long-term significant impact on economic growth and subsequently, economic growth converge to their longterm stability levels by the means created by Investment. This supports the reality that political certainty or stability is capable of stimulating a country’s development process”. Therefore, revealed significant relationship between banking sector performance and political stability of Pakistan on economic growth.

scholarly journals Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Lagrangian Multiplier ◽  
Effect Model ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  

scholarly journals Parameters of Profitability: Evidence From Conventional and Islamic Banks of Bangladesh

2018 ◽  
Vol 8 (4) ◽  
pp. 158
Author(s):  
K. M. Golam Muhiuddin ◽  
Nusrat Jahan
Keyword(s):  
Commercial Banks ◽  
Banking System ◽  
Specific Factor ◽  
Economic Factors ◽  
Islamic Banks ◽  
Specific Factors ◽  
Conventional Banks ◽  
The Impact ◽  
Bank Specific Factors ◽  
Conventional And Islamic Banks

This paper evaluates the commercial banks of Bangladesh in terms of profitability dimension of performance and also examines the impact of selected determinants and banking system on this dimension of performance. Evaluation of trend in profitability of listed commercial banks of Bangladesh reveals that, on an average, profitability is exhibiting a decreasing trend over the selected period; however, the profitability performance of Islamic banks remained rather high compared to Conventional banks. Profitability measured by Return on Asset is found to be significantly affected by the bank-specific factors, industry-specific factor and the banking system. However, macro-economic factors evidently have no significant impact on profitability of commercial banks of Bangladesh.

scholarly journals Impacting Factors of Dividend Policy in Indonesian Banking Sector

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Dicky Mikhael Kosasih ◽  
Febiyana Aditya ◽  
Nabila Rachma
Keyword(s):  
Dividend Policy ◽  
Banking Sector ◽  
Stock Exchange ◽  
Emerging Market ◽  
Secondary Data ◽  
Specific Factor ◽  
Scientific Papers ◽  
Impacting Factors ◽  
Specific Factors ◽  
Data Documentation

ABSTRACT. Further research is needed on the implementation of dividend policy in emerging market.  This phenomenon exists as there is no “one-size-fits-all” dividend policy evaluation factor that is applicable in every business sector. This study explores firms’ specific factors with the variables of corporate governance, firm size, and firm profitability along with economical phenomenon factor with the variable of inflation towards dividend policy at once. The data documentation techniques is secondary data collection from The Indonesia Stock Exchange, Bank Indonesia, journals, articles, and scientific papers. The data collected was coded and analyzed using SPSS (Statistical Package for Social Sciences). The result shows that dividend policy is affected by both internal (firm-specific factor) and external (economical phenomenon) stimuli. However, it is deduced from the tests results that there is a stronger impact arise from the internal factor; in comparison to the otherwise.

scholarly journals Households costs of Ukraine’s regions: factor analysis

2020 ◽  
pp. 14-17
Author(s):  
Halyna MAKEDON
Keyword(s):  
Factor Analysis ◽  
Exchange Rate ◽  
Unemployment Rate ◽  
Foreign Currency ◽  
Negative Impact ◽  
Poverty Level ◽  
Transfer Payments ◽  
Household Spending ◽  
Consumer Model ◽  
Economic Regions

The article presents a factor analysis of household spending in the regions of Ukraine. It is established that the pattern of consumer behavior of households has changed significantly over the last decade, and the share of savings, especially cash in foreign currency, has increased. On the whole, there has been a rapid increase in the poverty level of the population. It has been proved that the consumer model of Ukrainian households in recent years does not fit into the framework of traditional «income» theories. A five-factor linear function of consumption dependence on the official hryvnia exchange rate, gross external debt, unemployment rate, population and social transfers has been developed. Household spending is an aggregate measure that summarizes the behavior of all actors at the macro level. The results of the analysis indicate a significant level of import dependence of domestic producers on imported goods. Population growth as a factor leads to an increase in household consumption in the regions of Ukraine. The article presents a number of regional differences in consumer models of households in the Eastern, Black Sea, Carpathian and Polissya economic regions. The development of linear five-factor consumption and savings functions of Ukrainian households, the analysis of regression coefficients and elasticity indicators revealed that the largest negative impact on the change in consumer spending was the change in population size, the stable positive effect was the amount of transfer payments. An analysis of the multifactor linear consumption functions by economic area found that among the studied factors, two (official hryvnia exchange rate against the euro and current transfers) were stimulants and two (discount rate and unemployment rate) were stimulators.

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