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 Modeling the Effect of Bank Specific Factors on Financial Performance of Commercial Banks in Nigeria: Panel Data Regression Approach

2021 ◽  
Vol 28 (1) ◽  
pp. 40-47
Author(s):  
Y. Yakubu ◽  
S.M. Egopija
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Management Quality ◽  
Panel Data Regression ◽  
Data Regression ◽  
Regression Approach ◽  
Specific Factors ◽  
Key Indicators ◽  
Bank Specific Factors

Periodic checking and evaluation of financial performance of the banking sector is a way of sustaining the development of a nation’s economy. The key indicators of the banks’ financial performance are their return on assets (ROA) and return on equity (ROE). A bank’s financial performance is affected by some specific factors like capital adequacy ratio (CAR), credit risk (CRISK), management quality, liquidity ratio (LIQ.RAT.) and bank size. This work first compares average financial performance of some sampled commercial banks in Nigeria (UBA, GTB, ZENITH, FIRST, and ACCESS banks) based on the key indicators and the bank specific factors. It then models the effect of these factors on the overall financial performance of the sampled banks using panel data regression approach. The results showed that the GTB had the highest average ROA, ROE and CAR throughout the period under review while Zenith bank was the best in terms of credit risk, management quality and liquidity ratio. The fitted ROA model accounted for 83% of the total variability in the data and revealed that CAR, CRISK, and LIQ.RAT were significant at both 1% and 5% levels while the ROE model accounted for 69% and revealed that CRISK and LIQ.RAT were significant. Keywords: Financial Performance, Commercial Banks, Evaluation, Panel Data, Economy

The impact of institutions on economic growth in selected developing countries: An analysis based on Bayesian panel estimation

2020 ◽  
Vol 4 (4) ◽  
pp. 251-272
Author(s):  
Qasim Shah ◽  
Seema Zubair ◽  
Sundus Hussain
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Data Models ◽  
Fixed Effect ◽  
Estimation Methods ◽  
Panel Data Models ◽  
Effect Model ◽  
The Impact

This paper presents an empirical analysis of the impact of institutions on the economic growth of 27 developing countries during the period 1990-2014. Many creative models of panel data allow variations in slope coefficients both across time and cross-sectional units. All models were established in a Bayesian structure and their performance was tested by using an interesting application of the effect of institution on GDP. Technical details of all these models are given and tools are presented to compare their performance in the Bayesian system. Besides, panel data models and posterior model pools are provided for an insight into the institution's relationship with economic development. The derivation of Bayesian panel data models is included. The previous data has been used in this study and normal gamma prior is used for the models of panel data. 2SLS estimation technique has been used to analyze the classical estimation of panel data models. In the paper, developing countries were viewed as a whole. The study's evaluated results have shown that panel data models are valid Bayesian methodology models. In the Bayesian approach, the results of all independent variables affect the dependent variable significantly and positively. Based on all model standard defects, it is necessary to say that the Fixed Effect Model is the best in Bayesian panel data estimation methods. It was also shown that in comparison to other models, the fixed-effect model has the lowest standard error value.

scholarly journals The Threats of Unsystematic Risks in Jordanian Commercial Banking Sector

2017 ◽  
Vol 9 (9) ◽  
pp. 175
Author(s):  
Ghaith N. Al-Eitan ◽  
Ismail Y. Yamin
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Fixed Effect Model ◽  
Commercial Banking ◽  
Capital Adequacy ◽  
Credit Risk Management ◽  
Effect Model ◽  
The Impact ◽  
The Empirical Analysis

The objective of this study is to empirically examine the effect of unsystematic risks on the performance of commercial banks in Jordan, using panel data for the period of 10 years (2005-2015). The study uses earning per share and dividends as dependent variables to represent Banks’ performance. The empirical analysis based on the fixed effect model selected on the basis of Hausman test. The results indicate that the impact of Non-performing loans on commercial banks’ dividends is positive and significant while the impact of capital adequacy is negative and statistically significant on dividends. The results indicate that the credit risk, liquidity risk, non-performing loan and capital adequacy have significant effect on earnings per share and the effects are negative as expected. Based on the study it is recommended that the Jordanian commercial banks needs enhance the process of credit risk management to determine loan defaulter and impose the appropriate legal action against them.

scholarly journals The Impact of Dividend Policy on Stock Price Volatility in Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 506-515
Author(s):  
Ziaullah Shah ◽  
Shehzad Khan ◽  
Muhammad Faizan Malik
Keyword(s):  
Panel Data ◽  
Stock Price ◽  
Dividend Policy ◽  
Price Volatility ◽  
Fixed Effect Model ◽  
Share Prices ◽  
Dividend Payments ◽  
Effect Model ◽  
Dividend Irrelevance ◽  
The Impact

The objective of this study is to inspect dividend policy influence on volatility of share prices. For investigation seven Non-financial segment/sectors have been selected. A sample of 137 firms who paid four dividend payments listed at PSX is analysed for the period of 2007-2017.Proxy for policy of dividend are earning per share, Payout ratio, dividend yield, while assets growth and firm size are taken as control variables. OLS regression model has been initially applied on panel data. The outcomes of fixed effect model are focused. Overall outcomes of the study confirmed that prices of stock is significantly influenced by policy of dividend and reject dividend irrelevance theory.

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals THE FINANCIAL PERFORMANCE OF MANUFACTURING COMPANIES IN IDX AND SOME FACTORS THAT INFLUENCE

2021 ◽  
Vol 19 (2) ◽  
pp. 354-362
Author(s):  
Ichsan Ichsan ◽  
◽  
Ira Silvia ◽  
Mahdawi Mahdawi ◽  
Ghazali Syamni ◽  
...  
Keyword(s):  
Financial Performance ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Dominant Factor ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Industrial Sectors ◽  
Effect Model ◽  
Study Results ◽  
Equity Ratio

This study aims to examine some factors affecting the financial performance of manufacturing companies in the Indonesia Stock Exchange (IDX). This research uses data on the financial statements of 20 manufacturing companies listed on IDX in the period 20132017 and carried out share distribution facilities for their employees. This research model is a panel regression model done by testing the common effect model, fixed-effect model, and random effect model. Based on the Chow test and Hausman test, it is found that the best model in this study is the fixed effect model. The study results find that dividend policy, a share giving program to employees, and debt to equity ratio are significant factors affecting the financial performance of manufacturing companies in Indonesia. From these three factors, the debt to equity ratio is the dominant factor determining the financial performance of manufacturing companies, while investment decision does not significantly affect it. Future research studies can be carried out by focusing on other industrial sectors such as the Jakarta Islamic Index 70 and adding other macroeconomic variables.

scholarly journals Managing Climate Change for Wheat Production: An Evidence from Southern Punjab, Pakistan

2019 ◽  
Vol 1 (2) ◽  
pp. 48-58
Author(s):  
Muhammad Haseeb Raza ◽  
Allah Bakhsh ◽  
Muhammad Kamran
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Wheat Production ◽  
Panel Model ◽  
Effect Model ◽  
Tube Wells ◽  
Relationship Of ◽  
The Impact

The current research study was conducted to estimate the impact of climate change on wheat production by using panel data from 1998-2014.  For this purpose four districts were selected from southern Punjab, Pakistan. Panel model of fixed effect (FE) was estimated at region level for wheat productivity utilizing climatic and non-climatic variables based on season. The conclusion of the study showed that non-climatic, i.e. inputs, number of tractors, area under wheat, number of tube wells and fertilizer consumption in each district have significant impact on the wheat production. The fixed effect model results revealed that the increase in temperature has significance impact on the month of the November and January, while it showed negative impact in the month of April. The results also showed a non-linear relationship of precipitation for the months of April and November.

scholarly journals Pengaruh Perkembangan Usaha Mikro, Kecil, dan Menengah Terhadap Pendapatan Nasional Pada Sektor UMKM di Indonesia

2019 ◽  
Vol 8 (2) ◽  
pp. 127-135
Author(s):  
Lies Maria Hamza ◽  
Devi Agustien
Keyword(s):  
Panel Data ◽  
Small And Medium Enterprises ◽  
National Income ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
Medium Enterprises

This study aims to analyze the influence of the development of Micro, Small, and Medium Enterprises on the national income of the UMKM sector in Indonesia. This research used a panel data method with Fixed Effect Model. The data used are secondary in the value of GDP of UMKM, Labours of UMKM, investment of UMKM, and the number of units of UMKM from the 2000-2013 period. The results showed that labors of UMKM and placement of UMKM have a positive and significant effect on the national income of the UMKM sector in Indonesia. While for the number of units of UMKM not affect the national income of the UMKM sector in Indonesia.

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.

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