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 Impact of Population Growth on Economic Growth in Africa: A Dynamic Panel Data Approach (1980 -2015)

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Amade Peter ◽  
Ibrahim H. Bakari
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Population Growth ◽  
Negative Impact ◽  
Positive Impact ◽  
Dynamic Panel Data ◽  
African Countries ◽  
Dynamic Panel ◽  
System Gmm ◽  
The Impact

This study examines the impact of population growth on the economic growth of African countries using panel data approach from 1980 -2015. The impact of population growth on economic growth is still largely controversial at national and regional levels. The study used annual secondary data of fifty three (53) African countries sourced from the World Development Indicators database. Data were collected for economic growth, proxied by GDP, population growth, fertility rate, crude death rate and inflation rate. The data were analyzed using descriptive statistics, as well as dynamic panel models of difference and system GMM. The results of the difference and system GMM suggest that population growth exerts a positive impact on economic growth of Africa while fertility has a negative impact on economic growth of Africa. The paper concludes and recommends that population growth impacts positively on economic growth and thus African countries should adopt and implement pragmatic policy measures that will enhance the productivity of its population so as to reap more demographic dividends.

scholarly journals Human Development Convergence and the Impact of Funds Transfer to Regions: A Dynamic Panel Data Approach

2020 ◽  
Vol 7 (12) ◽  
pp. 593-604
Author(s):  
Rah Adi Fahmi GINANJAR ◽  
Vadilla Mutia ZAHARA ◽  
Stannia Cahaya SUCI ◽  
Indra SUHENDRA
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
The Impact

scholarly journals Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

scholarly journals Bank-Specific and Macroeconomic Determinants of Profitability: A Revisit of Pakistani Banking Sector under Dynamic Panel Data Approach

2020 ◽  
Vol 8 (3) ◽  
pp. 42 ◽  
Author(s):  
Habib-ur Rahman ◽  
Muhammad Waqas Yousaf ◽  
Nageena Tabassum
Keyword(s):  
Panel Data ◽  
Interest Rates ◽  
Economies Of Scale ◽  
Banking Sector ◽  
Unobserved Heterogeneity ◽  
Dynamic Panel Data ◽  
Capital Adequacy ◽  
Bank Failures ◽  
Dynamic Panel ◽  
Macroeconomic Determinants

This study aims to examine the effect of the bank-specific and macroeconomic determinants of profitability for the banking sector of Pakistan. To incorporate the issues of endogeneity, unobserved heterogeneity, and profit persistence, we apply a generalised method of moments (GMM) technique under the Arellano–Bond framework to a panel of Pakistani banks that covers the period 2003–2017. The results of a dynamic panel data approach reveal that capital adequacy accelerates the profitability of the banking sector in Pakistan. Capital adequacy helps the financial system to absorb any negative shock by reducing the number of bank failures and losses. Conversely, our empirical investigation reveals that the liquidity ratio, business mix indicators, interest rates, and industrial production deteriorates the bank profitability. Liquidity risks enhance the probability of default risks and transmit into the unpaid loans and hence the lower return. Our empirical evidence further reveals that Pakistani banks are not getting any benefit of the economies of scale in terms of financial performance.

The Impact of Chinese Exports on Brazilian and Mexican Exports: A Model Using Dynamic Panel Data

2019 ◽  
pp. 1-17
Author(s):  
Luciane Franke ◽  
Marcos Tadeu Caputi Lélis ◽  
Alexsandro Marian Carvalho ◽  
José Roberto Iglesias
Keyword(s):  
Panel Data ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
The Impact

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

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