DETERMINANTS OF PROFITABILITY OF GENERAL INSURANCE COMPANIES IN INDONESIA

This paper investigates the determinants of profitability of General Insurance in Indonesia, focusing on firm-specific factors and macroeconomics factors. General Insurance in Indonesia play important role in the economy by providing protection of risk of loss either to organizations and individuals. Based on this background, the aim of this paper is to study and improve the profitability of general insurance through a random effect analysis of 40 general insurance companies since 2013 until 2017. The data obtained is time series data and cross section data so that the data analysis in this study uses Panel Data Regression Analysis. The empirical study shows that firm size, liquidity ratio, equity growth, underwriting result, return on investment, input cost, claim ratio, technical ratio, economic growth rates and Bank Indonesia interest rate are significant factors that affect profitability of general insurance companies. Companies can improve their profitability by planning, monitoring and defining financial strategy based on the relation whether – positive or negative, between significant factors and profitability.

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The Effect of Ownership Structure on Financial Performance in Lippo Group Company

Indonesian Journal of Innovation and Applied Sciences (IJIAS) ◽

10.47540/ijias.v1i3.299 ◽

2021 ◽

Vol 1 (3) ◽

pp. 245-249

Author(s):

Ristati ◽

Raihan Cahaya ◽

Nurlela ◽

Ghazali Syamni ◽

Zulham Ibrahim

Keyword(s):

Panel Data ◽

Financial Performance ◽

Ownership Structure ◽

Time Series Data ◽

Random Effect ◽

Random Effect Model ◽

Series Data ◽

Analysis Method ◽

Estimation Model ◽

Section Data

This study examined the effect of Ownership Structure on Financial Performance at Lippo Group companies in Indonesia from 2015 to 2019. The number of samples in this study was 14 companies and 60 observations. The data were accessed on www.idx.go.id. The data used in this study was panel data or a combination of cross-section data and time-series data. The data analysis method in this research was the Panel Data Regression analysis method with panel estimation model Random Effect Model. The results showed that Managerial ownership and institutional ownership had a negative and significant effect on financial performance.

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PENGARUH KINERJA KEUANGAN DAN KINERJA LINGKUNGAN TERHADAP NILAI PERUSAHAAN PERTAMBANGAN DI ISSI PERIODE 2013-2017

Jurnal Ekonomi Syariah Teori dan Terapan ◽

10.20473/vol6iss20199pp1795-1803 ◽

2020 ◽

Vol 6 (9) ◽

pp. 1795

Author(s):

Lidia Ralina ◽

Ari Prasetyo

Keyword(s):

Firm Value ◽

Time Series Data ◽

Random Effect ◽

Social Reporting ◽

Series Data ◽

Estimation Model ◽

Current Ratio ◽

Section Data ◽

Panel Data Regression ◽

Data Regression

This study analyzed the influence of Islamic Social Reporting (ISR), Return on Asset, and Current Ratio on the value of the companies which were registered in ISSI in 2013-2017. This research used panel data regression analysis to combine time series data and cross section data. The results of the research with estimation model of Random Effect showed that ISR, ROA and CR partially had significant effects on the value of the company. ISR, ROA and CR silmutanously affect on the value of the mining companies registered in ISSI 2013-2017.Keywords: Islamic Social Reporting, Return on Asset, Current Ratio, and Firm Value

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Import Flows of Bangladesh: Gravity Model Approach under Panel Data Methodology

Dhaka University Journal of Science ◽

10.3329/dujs.v60i2.11485 ◽

2012 ◽

Vol 60 (2) ◽

pp. 153-157 ◽

Cited By ~ 1

Author(s):

Mili Roy ◽

Md. Israt Rayhan

Keyword(s):

Panel Data ◽

Gravity Model ◽

Cross Section ◽

Time Series Data ◽

Random Effect ◽

Least Square ◽

Series Data ◽

Ordinary Least Square ◽

Extended Gravity ◽

Trading Partners

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladeshs import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladeshs imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladeshs import is determined by the home and foreign countrys gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladeshs importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)

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Effect of Government Expenditures and Banking Loan Distribution on the Performance of Human Resource Development in Papua Province

International Journal of Social Science and Business ◽

10.23887/ijssb.v3i2.17581 ◽

2019 ◽

Vol 3 (2) ◽

pp. 86

Author(s):

Hendricus Lembang

Keyword(s):

Human Resource Development ◽

Educational Level ◽

Time Series Data ◽

Capital Expenditure ◽

Government Expenditure ◽

Private Investment ◽

Bank Loan ◽

Series Data ◽

Section Data ◽

Capital Spending

The research aims to analyze government expenditure on capital spending and bank loan as well as to determine whether it has positive and significant effects on the Human Development Index (HDI) in Papua Province. The method is a quantitative study using a quantitive approach (deductive) to test the hypothesis and explain the causal relationship among panel variables (explanatory research). Data analysis techniques in the form of pooled data. Time series data were taken from 2005 to 2012 and the cross section data consisting of 19 regioncies and 1 city in Papua Province. The research results about the local government expenditure indicate that 10 the capital expenditure has positive and significant direct effect on an increase in private investment, educational level, employment recruitment and HDI, 2) the bank consumer loan distribution has positive and significant effect on the labor absorption, 3) the private investment has positive but not significant impact on educational level; it has positive and direct significant impact in the labor absorption, 4) the level of education has positive and direct significant impact on the employment recruitment and HDI, 5) labor absorption has positive and direct significant impact in the HDI.

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Labor Productivity and Foreign Direct Investment in the Indonesian Manufacturing Sector

Signifikan Jurnal Ilmu Ekonomi ◽

10.15408/sjie.v8i1.7836 ◽

2019 ◽

Vol 8 (1) ◽

pp. 9-22 ◽

Cited By ~ 1

Author(s):

Luhur Selo Baskoro ◽

Yonsuke Hara ◽

Yoshihiro Otsuji

Keyword(s):

Foreign Direct Investment ◽

Labor Productivity ◽

Direct Investment ◽

Social Protection ◽

Manufacturing Sector ◽

Random Effect ◽

Effect Analysis ◽

Positive Externalities ◽

Random Effect Analysis

This paper investigates the determinants of foreign direct investment (FDI) inflow, focusing on the effect of labor productivity in the Indonesian manufacturing sector. Indonesia has the advantage of abundant labor supply in attracting FDI to bring positive externalities to its economy. Based on this background, this paper is aimed to study and to improve FDI inflow through a random effect analysis of 19 manufacturing industries from 2001 to 2014. The empirical result shows that labor productivity, wages, and export have become significant factors that attract FDI. FDI inflow in this sector tends to target non-labor industries. For the labor-intensive industries, the primary strategy is to increase labor quality through improvement in education, training, internship program, and worker certification. Improving research and development climate, and maintaining the quality of labor through health and social protection regulation can attain improvement in non-labor intensive industries.

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The dynamic relationship between stock returns and trading volumes in Nepalese stock market

Management Dynamics ◽

10.3126/md.v23i2.35819 ◽

2020 ◽

Vol 23 (2) ◽

pp. 161-172

Author(s):

Prem Lal Adhikari

Keyword(s):

Stock Market ◽

Stock Returns ◽

Trading Volume ◽

Time Series Data ◽

Stock Exchange ◽

Causal Effect ◽

Empirical Relationship ◽

Insurance Companies ◽

Series Data ◽

Dynamic Relationship

In finance, the relationship between stock returns and trading volume has been the subject of extensive research over the past years. The main motivation for these studies is the central role that trading volume plays in the pricing of financial assets when new information comes in. As being interrelated and interdependent subjects, a study regarding the trading volume and stock returns seem to be vital. It is a well-researched area in developed markets. However, very few pieces of literature are available regarding the Nepalese stock market that explores the association between trading volume and stock return. Realizing this fact, this paper aims to examine the empirical relationship between trading volume and stock returns in the Nepalese stock market using time series data. The study sample is comprised of 49 stocks traded on the Nepal Stock Exchange (NEPSE) from mid-July 2011 to mid-July 2018. This study examines the Granger Causality relationship between stock returns and trading volume using the bivariate VAR model used by de Medeiros and Van Doornik (2008). The study found that the overall Nepalese stock market does not have a causal relationship between trading volume and return on the stock. In the case of sector-wise study, there is a unidirectional causality running from trading volume to stock returns in commercial banks and stock returns to trading volume in finance companies, hydropower companies, and insurance companies. There is no indication of any causal effect in the development bank, hotel, and other sectors. This study also finds that there is no evidence of bidirectional causality relationships in any sector of the Nepalese stock market.

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Meta-analysis and Random Effect Analysis

Modern Meta-Analysis ◽

10.1007/978-3-319-55895-0_4 ◽

2017 ◽

pp. 51-62

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Meta Analysis ◽

Random Effect ◽

Effect Analysis ◽

Random Effect Analysis

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Does the “Returning Farmland to Forest Program” Drive Community-Level Changes in Landscape Patterns in China?

Forests ◽

10.3390/f10100933 ◽

2019 ◽

Vol 10 (10) ◽

pp. 933 ◽

Cited By ~ 2

Author(s):

Wenqing Li ◽

John Aloysius Zinda ◽

Zhiming Zhang

Keyword(s):

Regression Models ◽

Time Series Data ◽

Ecological Factors ◽

Landscape Fragmentation ◽

Community Level ◽

Landscape Patterns ◽

Series Data ◽

Farmer Livelihoods ◽

Socioeconomic Patterns ◽

Significant Factors

In China, the Returning Farmland to Forest Program (RFFP) has afforested large areas, transforming land and livelihoods. By impacting vegetation cover, it may also drive spatial pattern changes across landscapes. Most studies have focused on time series data as a means to determine the effectiveness of the program, but there is a paucity of community-level comparative studies. Twelve communities in Northwest Yunnan Province were selected to test whether the RFFP changed landscape patterns by testing the following hypotheses: with (or without) the RFFP, forest and shrubland fragmentations would decrease (or increase) and farmland fragmentation would increase (or decrease). Remote sensing images from 2000, 2010, and 2014 were used to compare the differences in landscape patterns. Survey data from 421 households were used to examine the socioeconomic and ecological factors that affect the differences in landscape fragmentation across communities. The results showed that landscape patterns and fragmentation metrics were not significantly different between communities with or without the RFFP, regardless of the class or landscape level. These communities showed consistent patterns of change in their fragmentation parameters between 2000 and 2014, with forest fragmentation decreasing and the fragmentation of farmland and the overall landscape increasing. The regression models suggest these changes were affected by the local natural conditions, socioeconomic patterns, policy implementation, and farmer livelihoods, with the proximity to market towns and elevation being significant factors. The RFFP alone did not directly drive the changes in landscape patterns for the considered region. For the new RFFP to effectively contribute to reducing fragmentation, managers of afforestation efforts should carefully consider livelihoods and biophysical factors that influence changes in landscape patterns.

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