scholarly journals ANALYSIS OF FACTORS AFFECTING CRYPTOCURRENCY RETURN DURING THE COVID-19 PANDEMIC

Author(s):  
Mangasi Sinurat

This study aims to analyze the effect of Asset Price, Transaction Volume and Market Capitalization on Cryptocurrency Return. This study uses secondary data in the form of a 2020 weekly report accessed at www.Indodax.com. The data analysis method in this study uses panel data regression analysis which is processed using eviews 10. The partial results show that asset price has a negative and insignificant effect on cryptocurrency returns, transaction volume has a positive and insignificant effect on cryptocurrency returns, market capitalization has a negative and negative effect and not significant to the return of cryptocurrencies. The results of the study simultaneously show that asset price, transaction volume and market capitalization have a negative and insignificant effect on the dependent variable, namely cryptocurrency returns with an R-squared value of 1.1682%. Suggestions for further research are to add other variables that affect cryptocurrency returns such as macroeconomics.

2017 ◽  
Vol 24 (01) ◽  
pp. 92-103
Author(s):  
An Pham Hoang ◽  
Loan Vo Thi Kim

This study analyzes factors affecting net interest margin of joint-stock commercial banks in Vietnam. The paper uses the secondary data of 26 banks with 182 observations for the period of 2008–2014 and applies the panel data regression method. The empirical results indicate that lending scale, credit risk, capitalization, and in-terest rate have positive impacts on net interest margin. In contrast, managerial efficiency has a negative effect on net interest margin. However, bank size and loan to deposit ratio are statistically insig-nificant to net interest margin.


2021 ◽  
Vol 8 (2) ◽  
pp. 5-21
Author(s):  
Nailul Mubarokah ◽  
Umiyati Umiyati

This study aims to determine empirical evidence about the effect of profit sharing financing, sale and purchase financing, FDR and NPF on the profitability (ROA) of Islamic Rural Banks (BPRS) in Banten Province. The type of data in this study is secondary data using panel data. The research object was five Islamic Rural Banks in Banten Province and research period from the first quarter to the fourth quarter of 2013-2019. The research sample was selected using purposive sampling technique. The analysis method used is Panel Data Regression Analysis with Eviews 10 software. The results obtained in this study indicate that there is no significant influence between the Profit Sharing variable on Profitability (ROA) partially. Sale and Purchase Financing, FDR, and NPF variables partially have a significant effect on profitability (ROA). Simultaneously, Profit Sharing, Sale and Purchase Financing, FDR, and NPF have a significant effect on Profitability (ROA).


2021 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Jannatun Nufus ◽  
Ratna Husein

This study aims to determine the effects of GRDP, population, and HDI on poverty in 23 districts/cities in Aceh Province. This study uses secondary data obtained from the Central Bureau of Statistics during 2012-2018 and cross-section data from 23 districts/cities, thus forming a total panel data of 161 data. The data analysis method used is a panel data regression model using the Eviews 9 program. The results show that partially the GRDP and population do not have a significant and negative effect on poverty in districts/cities in Aceh Province. Meanwhile, HDI partially has a significant and negative effect on the poverty of districts/cities in Aceh Province. The magnitude of the influence of GRDP, total population, and HDI on poverty is 0.374 (37.4%), while those influenced by other variables outside this model are 0.626 (62.6%). Suggested: Local governments should increase sub-sector efforts to boost GDP, to reduce poverty levels.Keywords:Poverty, GRDP, Total Population, Human Development Indekx


2020 ◽  
Vol 15 (2) ◽  
pp. 183-196
Author(s):  
Budi Setiawan ◽  
M. Rachmad R ◽  
Arman Delis

This study aims to analyze the determinants of PBB-P2 revenue, to determine the effect of PBB-P2 revenue on regional revenue and to formulate strategies for increasing PBB-P2 revenue in Jambi Province. The data used in this study is secondary data with the type of Time series 2014-2018 data and Cross Section 11 districts/cities that come from the Central Statistics Agency and Regency / City BPPRD. This study uses Panel Data Regression Analysis and uses Simple Linear Regression using the E-Views 8.0 tool. The results of this study indicate that PBB-P2 always increases every year. From the results of panel data regression analysis, the results show that investment, economic growth, and taxpayers together have a significant effect on PBB-P2 with an R square value of 0.924, the Prob value (F- statistic) 0,000 and the F-statistic value is 26,556. The effect of investment on PBB-P2 has a positive effect, which means that if investment increases, PBB-P2 will also experience an increase. Economic growth and taxpayers will have a negative effect on PBB-P2 which means that the increase in PBB-P2 will decrease the economic growth and taxpayers.


2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.


2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Nur Zulfah Hijriyani ◽  
Setiawan Setiawan

AbstractThe purpose of this study are to measure and analyze operational efficiency that showed by bank financial ratios consisting of Operating Expenses to Operating Revenues (BOPO), Allowance for Possible Losses on Earning Assets (PPAP), Non Performing Financing (NPF) and Financing to Deposits Ratio (FDR) to Profitability that measured by Return on Assets (ROA). The population in this research is 11 Islamic Banking (BUS) by using total sampling technique in determine the sample. The data used in this study is secondary data obtained from the annual report of the bank period 2010 to 2016 published by each bank and matched with the data also by the Financial Services Authority (OJK). The analysis technique used is panel data regression analysis. Based on the result of F-test in this research, it can be concluded that the independent variables (operational efficiency) have a significant effect on the dependent variable (profitability). Meanwhile, the t-test shows that BOPO ratio has a significant negative effect on profitability. For the other three ratios, PPAP, NPF and FDR have no significant effect on profitability of Islamic Banks (BUS).Keywords: Islamic banks; Operational efficiency; Profitability. AbstrakPenelitian ini bertujuan untuk mengukur dan menganalisis pengaruh efisiensi operasionalyang diproksikan dengan rasio keuangan bank yang terdiri dari rasio Biaya Operasionalterhadap Pendapatan Operasional (BOPO), Penyisihan Penghapusan Aktiva Produktif(PPAP), Non Performing Financing (NPF) dan Financing Deposit Ratio (FDR) terhadapprofitabilitas yang diukur dengan Return on Asset (ROA). Populasi dalam penelitian ini adalah 11Bank Umum Syariah (BUS) dengan penggunaan teknik total sampling dalam penentuansampelnya. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperolehdari laporan tahunan bank periode 2010 hingga 2016 yang dipublikasikan oleh masing-masing bank dan dicocokkan dengan data yang juga dipublikasikan oleh Otoritas JasaKeuangan (OJK). Teknik analisis yang digunakan adalah analisis regresi data panel. Berdasarkan hasil uji-F pada penelitian ini, dapat disimpulkan bahwa variabel independen (efisiensi operasional) berpengaruh signifikan terhadap variabel dependen (profitabilitas). Sementara itu, hasil uji-t menunjukkan bahwa rasio BOPO berpengaruh negatif signifikanterhadap profitabilitas. Untuk tiga rasio lainnya yaitu PPAP, NPF dan FDR tidak memilikipengaruh signifikan terhadap profitabilitas Bank Umum Syariah (BUS).Kata Kunci: Bank syariah; Efisiensi operasional; Profitabilitas.


2021 ◽  
Vol 2 (2) ◽  
pp. 432-442
Author(s):  
Dirvi Surya Abbas ◽  
Arry Eksandy

The Purpose of this study was to determine the effect of company age, leverage, and independent commissioners on intellectual capital in food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange (BEI). The research time period used is 3 years, namely the 2016-2018 period. The population of this study includes all food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) for the 2016-2018 period. The sampling technique was using purposive sampling technique. Based on the predetermined criteria, 17 companies were obtained. The type of data used is secondary data obtained from the Indonesia Stock Exchange website. The analysis method used is panel data regression analysis. The results showed that Leverage and Independent Commissioner had no influence on Intellectual Capital. However, the variable company age has an influence on intellectual capital.


Author(s):  
Boye AYANTOYINBO ◽  
Adeolu GBADEGESIN

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data.  The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.


Author(s):  
Nurramayuningsih Nurramayuningsih ◽  
Mujibah A. Sufyani

Knowledge and intangible assets become the important source of competitive advatage for company (knowledgw-based economy). The study aims was to investigate the effect of intellectual capital, institutional ownership to profitability and firm value. Sample used were 6 manufacturing companies of sub sectors consumer goods industry listed on the Indonesia Stock Exchange from 2012 to 2017, with purposive sampling, secondary data, and panel data regression analysis. The results indicated that simultaneous intellectual capital and institutional ownership affected financial performance. Partially intellectual capital had a positive and significant effect on financial performance, but institutional ownership did not have significant effect. Financial performance has a positive and significant effect on firm value. Intelectual capital had an important roles to increase performance and value of the firm.


Media Ekonomi ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 71
Author(s):  
Muhammad Ibnu Fatsabit ◽  
Husna Leila Yusran

<em>This study aim is to see the influence of economic openness, education level, and unemployment rate toward against income inequality at the provincial level in Indonesia.</em> <em>This study uses panel data regression analysis by using Eviews 8 analysis tools. The data used in this study is secondary data consisting of gini ratio, export/GDRB ratio, import/GDRB ratio, foreign direct investment/PDRB ratio, unemployment rate and average length of school, at 33 provinces in Indonesia in the period of 2007 to 2016. </em><em>The results obtained show that only the export ratio and unemployment rate have an effect on the level of inequality in Indonesia. The export ratio has a positive and significant effect, while the unemployment rate variable has a significant negative effect.</em>


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