scholarly journals What Determines Price-to-Earnings Ratios: An Empirical Evidence from Banking Sector of Pakistan

2021 ◽  
Vol 3 (1) ◽  
pp. 13-21
Author(s):  
SAFDAR HUSSAIN TAHIR ◽  
MUHAMMAD RIZWAN ULLAH ◽  
DR. SAID SHAH
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Banking Sector ◽  
Panel Data Analysis ◽  
Investment Decision ◽  
Decision Makers ◽  
Individual Investors ◽  
Significant Determinant ◽  
Fund Managers ◽  
Investment Opportunities

It is of greater importance to understand the factors influencing P/E ratio for the fund managers, decision makers, market analysts and individual investors. Variability in shares prices and investment opportunities in Pakistani listed banking firms motivate to examine the determinants of P/E ratio using time-series as well as panel data analysis for the period of 2007 to 2014. The findings of panel data indicate significant variation in P/E ratio due to MktRtrn, VMP and SIZE. DP ratio is found to be the most influential determinant of P/E ratio indicating the willingness of investors to invest more funds in those banking firms paying greater dividends. Empirical outcomes of time-series analysis for banking industry represent that DP ratio is the super most imperative determinant of P/E ratio. Findings also indicate that P/E ratio vary across years and influence the investor’s investment decision. The findings of the study facilitate the decision makers by investigating the most significant determinant of P/E ratio of banking firms in order to attract attention of investors and increase their confidence to choose these firms in their portfolios.

Efficiency assessment of banking sector in Yemen using data envelopment window analysis

2015 ◽  
Vol 22 (6) ◽  
pp. 1115-1140 ◽  
Author(s):  
Fekri Ali Shawtari ◽  
Mohamed Ariff ◽  
Shaikh Hamzah Abdul Razak
Keyword(s):  
Panel Data ◽  
Banking Sector ◽  
Panel Data Analysis ◽  
Data Envelopment ◽  
Content Type ◽  
Window Analysis ◽  
Loan Financing ◽  
Using Data ◽  
Conventional Banks ◽  
The Stability

Purpose – The purpose of this paper is to examine the banking industry’s efficiency using the case of Yemen. Design/methodology/approach – The paper utilises two-stage analysis to evaluate the efficiency adopting Data Envelopment Window Analysis (DEWA) in the first stage for the period 1996-2011. Furthermore, the paper addresses, in two-dimensional matrix, the stability and efficiency of the banking sector in order to assess their ability for survival. In the second stage, panel data analysis is applied to regress a set of bank-specific and macro-economic variables on the efficiency of the banking sector in Yemen in a comparative fashion between Islamic and conventional banks. Findings – The findings of the investigation indicate that the Yemeni banking industry in general was on a declining efficiency’s trend with increased instability during the later period of the investigation. In addition, the study shows that most conventional banks were relatively stable, though inefficient, while Islamic banks were more efficient over the time. The results of panel data regression further suggest that efficiency is related to a number of determinants. Loan/financing, and profitability are the common key determinants of efficiency for both Islamic and conventional banks. However, other determinants have impacted differently for Islamic and conventional banks, which could reflect the uniqueness of their operation and structure. Research limitations/implications – The present study provides a basis for the regulators and bankers to assess the viability of the banking sector and proposes policies to restructure the industry in order to enhance the performance of the whole industry. Originality/value – The paper presents new empirical findings on the efficiency of Islamic and conventional banks in Yemen.

scholarly journals Pengaruh Dana Desa Dan Alokasi Dana Gampong Terhadap Kemiskinan Di Kecamatan Makmur Kabupaten Bireuen

2020 ◽  
Vol 3 (1) ◽  
pp. 11
Author(s):  
Aida Fitri ◽  
Khairil Anwar
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Cross Section ◽  
Time Series Data ◽  
Panel Data Analysis ◽  
Series Data ◽  
Analysis Method ◽  
Fund Allocation ◽  
Data Analysis Method

This study aims to determine how much Influence funds and village fund allocation have on poverty in Makmur District, Bireuen Regency. This study uses the panel data analysis method. Which is a combination of time-series data from 2015 to 2019, and a cross-section involving 27 villages and results in 135 observations. The results show that village funds have a negative and significant effect on poverty in the Makmur sub-district. Meanwhile, the allocation of village fund has no significant effect on poverty in the Makmur sub-district.Keywords:Village Fund, VillageFund Allocation, Poverty.

scholarly journals The Panel Data Analysis to Identify the Factors Affecting Turkish Currency Assets of Foreign Deposit Banks

2021 ◽  
pp. 121-128
Author(s):  
Ersan Özgür
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Banking Sector ◽  
Free Market ◽  
Panel Data Analysis ◽  
Foreign Banks ◽  
Significance Level ◽  
Factors Affecting ◽  
Independent Variables ◽  
Study Results

With the implementation of free market economy in Turkey starting from 1980, restrictions on foreign capital flows began to be abolished. Within the scope of international expansion in financial aspects, steps for integration with global financial markets were taken, and regulations were made. Accordingly, the number of foreign banks in Turkish banking system have increased since 1980, and reached an important scale in the sector. The share of foreign deposit banks’ total assets in the entire banking sector is at 22,8% level as of 2019. In this study, panel data analysis was performed to identify the factors affecting the Turkish currency assets of foreign deposit banks. The 11-year data for the 2009-2019 period were utilized in the study. Turkish Currency Assets / Total Assets was determined as the dependent variable in the analysis. The factors affecting the Turkish currency assets of foreign deposit banks were identified as Turkish Currency Liability / Total Liability [TPYUK], Turkish Currency Deposits / Total Deposits [TPMEV], and Turkish Currency Loans / Total Loans [TPKREDI]. Based on the study results the model formed was significant, and the ratio of independent variables for explaining the dependent variable in the model was approximately 48%. The independent variables TPYUK and TPKREDI were revealed to have a statistically significant positive effect on the dependent variable at 5% significance level. A 1-unit raise in TPYUK increased the dependent variable by 0,436 unit, and a 1-unit raise in TPKREDI by 0,033 unit. No statistically significant effect of TPMEV as the other independent variable was identified on the dependent variable.

scholarly journals Dividend policy in the banking sector in G-7 and GCC countries: A comparative study

2018 ◽  
Vol 8 (3) ◽  
pp. 70-79
Author(s):  
Hussam Hanifa ◽  
Mohammed Hamdan ◽  
Mohamed Haffar
Keyword(s):  
Panel Data ◽  
Dividend Policy ◽  
Banking Sector ◽  
Panel Data Analysis ◽  
Negative Influence ◽  
Positive Influence ◽  
Dividend Payout ◽  
Factors Affecting ◽  
Group Of Seven ◽  
Gcc Countries

Dividend policy has been a puzzling question for many years. This study attempts to identify the key factors affecting it in the financial sector that have been neglected in the literature. Using panel data on 621 Group of Seven (G-7) banks and 68 Gulf Cooperation Council (GCC) banks, five main factors namely, banks’ size, profitability, growth, leverage, and last year’s dividend were empirically tested regarding their impact on dividend payout ratios. In addition to comparing the two economies descriptively, the researchers employed panel data analysis using multiple regression with random effects. The findings revealed that the dividend payout ratio for the GCC countries is higher than G-7 countries in every year of the examined period (2010-2015). Furthermore, for both G-7 and GCC banks, profitability and last year dividend had a significant positive influence while banks’ leverage had a significant negative influence on the dividend payout. It was found also that banks’ size is an important dividend determinant in the G-7 countries only.

scholarly journals The Determinants of Indonesian Textile’s and Clothing Export to the Five Countries of Export Destination

ETIKONOMI ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Faizal Irvansyah ◽  
Hermanto Siregar ◽  
Tanti Novianti
Keyword(s):  
United States ◽  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
The United States ◽  
Destination Country ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Export Destination

Indonesian textile and clothing products (TPT) is the second-largest export product after oil palm product. There are five biggest export destination countries, that is the United States, Japan, South Korea, and Turkey. This study aims to analyze the factors that affect TPT exports to the five biggest export destination countries. The factors that affect TPT exports examined by using time series and panel data analysis. Using panel data analysis finds that GDP per capita of the destination country, the exchange rate of the Rupiah, the price of textiles in the destination country, and import tariffs stipulate in the destination country affect TPT exports. Then, using time series analysis finds that GDP per capita and import tariffs affected TPT export to the United States, China, and Turkey. Meanwhile, the factors influencing Indonesian textile exports to Japan and South Korea are textile prices, rupiah exchange rates, and import tariffs.JEL Classification: F14, F43How to Cite:Irvansyah, F., Siregar, H., & Novianti, T. (2020). The Determinants of Indonesian Textile’s and Clothing Export to the Five Countries of Export Destination. Etikonomi: Jurnal Ekonomi, 19(1), 19 – 30. https://doi.org/10.15408/etk.v19i1.14845.

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