Are Bank Profits Determined by Bank-Specific Factors or Bank External Factors? Evidence from Malaysian Banks

2017 ◽  
Author(s):  
Abdus Samad
Keyword(s):  
External Factors ◽  
Specific Factors ◽  
Bank Specific Factors ◽  
Bank Profits

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 The Impact of Specific Banking, Industrial and Macroeconomic Factors on Bank Profitability: Evidence from the Albanian Banking System

2019 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Gazmend Nure
Keyword(s):  
Banking System ◽  
Short Term ◽  
Bank Profitability ◽  
Macroeconomic Factors ◽  
Return On Equity ◽  
Specific Factors ◽  
The Impact ◽  
Research Studies ◽  
Bank Profits

This research studies the factors that affect the profitability of the banking system in Albania during the period 2012-2017.The specific factors taken in the study are divided into two groups: the specific banking factors (internal), and the macroeconomic factors. The dependent variable used in the study, to measure Bank Profits, is Return on Equity (ROE). The empirical findings show that, when ROE is used as a dependent variable, all bank specific variables are negatively and significantly related to profitability. That being said, there is the exception of the liquidity factor (Liquid assets over short term liabilities) and bank size which has a positive.

Determinants of loan losses of Indian Banks: a panel study

2015 ◽  
Vol 9 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Satyajit Dhar ◽  
Avijit Bakshi
Keyword(s):  
Public Sector ◽  
Panel Data Analysis ◽  
Capital Adequacy ◽  
Content Type ◽  
Specific Factors ◽  
Indian Banks ◽  
Loan Losses ◽  
The Impact ◽  
Bank Specific Factors

Purpose – The purpose of this paper is to examine the factors that influence the variability of loan losses (termed as non-performing advances or NPA in India) of Indian banks in the public sector during the period of five years from 2001 to 2005. Design/methodology/approach – The analysis is based on a panel approach, which considers both spatial and time dimensions of observations. Panel regression was used to explore the impact of different bank-specific factors on NPAs of 27 public sector banks (PSBs). Standard tests were used to find out suitability of different models of panel data analysis. Eight bank-specific factors were identified for analysis on the basis of review of extant literature. Findings – Certain bank-specific factors, in particular, net interest margin and capital adequacy ratio exhibit negative and significant impact on gross non-performing advances (GNPA) ratio of Indian PSBs. The results also suggest that relative quantum of sensitive sector (SEN) (comprised of commercial real estate, commodity and capital market) advances has a positive relationship with NPA ratio, and such a relationship is statistically significant. Research limitations/implications – The sample is restricted to India and may not be reflective of other countries. The study considers bank-level factors, and there are some macro factors (e.g. gross domestic product, interest rate and inflation rate) which could have explained the variability of GNPA ratio. Practical implications – Provisioning against loan losses is a major issue for stability of the banking system. Identification of appropriate causes of variability of such loan losses is important for managing credit portfolio of a bank. A positive and significant relationship between SEN advances and NPA calls for a more cautionary approach toward lending to those sectors. Originality/value – This paper is believed to be the first attempt to empirically examine the role of bank-specific factors. This study attempts to enrich empirical research in the field and provides an insight into the role of various bank-specific factors on loan losses in the context of Indian PSBs. The study provides contrary evidence regarding the role of priority sector advances on a GNPA ratio.

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 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 Analisi Regresi Data Panel pada Kinerja Perbankan di Indonesia

2020 ◽  
Vol 5 (2) ◽  
pp. 199-208
Author(s):  
Keti Purnamasari
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Market Concentration ◽  
Capital Adequacy ◽  
Return On Equity ◽  
Net Interest Margin ◽  
Specific Factors ◽  
Bank Specific Factors ◽  
Size Efficiency ◽  
Interest Margin

Abstract- The determinants of bank performance can be grouped into three groups, namely; 1) bank specific factors related to management decisions and policy objectives, 2) industry factors related to industrial structure and market growth, and 3) macroeconomic factors that reflect the economic conditions in which the bank operates. This study analyzes the effect of bank-specific factors and industry factors on banking performance using panel data regression analysis on a sample of 39 Indonesian Commercial Banks during the 2015-2019 period. Bank specific factors consist of bank size, efficiency, and capital adequacy, while the industrial factor in this study is the market structure which includes market concentration and market share. Banking performance is measured by Return on Equity and Net Interest Margin. The results of this study indicate that bank size and efficiency (BOPO) has a negative and significant effect on banking performance. Capital adequacy and market concentration have no effect on banking performance. Meanwhile, the market share variable has a positive and significant effect on banking performance as measured by Net Interest Margin but does not affect banking performance as measured by Return on Equity. Keywords : bank size, efficiency, capital adequacy, market structure, banking performance Abstrak- Determinan kinerja bank dapat dikelompokkan menjadi tiga kelompok yaitu ; 1) faktor spesifik bank yang terkait dengan keputusan manajemen dan tujuan kebijakan, 2) faktor industri yang terkait struktur industri dan pertumbuhan pasar, dan 3) faktor makroekonomi yang mencerminkan keadaan ekonomi dimana bank beroperasi. Penelitian  ini menganalisis pengaruh faktor spesifik bank dan faktor industri terhadap kinerja perbankan dengan menggunakan analisis regresi data panel pada sampel dari 39 Bank Umum Konvensional Indonesia selama periode 2015-2019. Faktor spesifik bank terdiri atas ukuran bank, efisiensi, dan kecukupan modal sedangkan faktor industri dalam penelitian ini adalah struktur pasar yang meliputi konsentrasi pasar dan pangsa pasar. Kinerja perbankan diukur dengan Return on Equity dan Net Interest Margin. Hasil penelitian ini menunjukkan hasil bahwa variabel ukuran bank dan efisiensi (BOPO) memiliki pengaruh negatif dan signifikan terhadap kinerja perbankan. Variabel kecukupan modal dan konsentrasi pasar tidak berpengaruh terhadap kinerja perbankan. Sedangkan variabel pangsa pasar memiliki pengaruh positif dan signifikan terhadap kinerja perbankan yang diukur dengan Net Interest Margin namun tidak berpengaruh terhadap kinerja perbankan yang diukur dengan Return on Equity. Keywords : ukuran bank, efisiensi, kecukupan modal, struktur pasar, kinerja perbankan 

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