scholarly journals Market Structure and Determinants of Firm Profitability on General Insurance Industry in Indonesia

2021 ◽  
Vol 16 (1) ◽  
pp. 26-41
Author(s):  
Arintoko ◽  
Abdul Aziz Ahmad ◽  
Siti Nur Habibah
Keyword(s):  
Panel Data ◽  
Market Structure ◽  
Market Share ◽  
Insurance Industry ◽  
Series Data ◽  
Debt Ratio ◽  
Significant Negative Effect ◽  
General Insurance ◽  
Firm Profitability ◽  
Negative Effect

Abstract The purpose of this study is to analyze the market structure of the general insurance industry in Indonesia and the effect of market share, operating expenses to operating income (OEOI), and debt ratio(DR) on profitability measured by return on assets (ROA). This study uses panel data regression analysis with the Chow and Hausman test to determine the best model. This analysis uses a combination of cross-section data, which consists of 11 companies, and time-series data, which consists of five years. The results showed that the Indonesian general insurance industry in 2014-2018 took the form of a tight oligopoly with a high concentration level after being analyzed through the four-firm concentration ratio (CR4) and Herfindahl-Hirschman Index (HHI). The average CR4 ratio is 84.77%, while the value of HHI is 3,374.19. Meanwhile, the results showed that based on panel data analysis, the OEOI variable has a significant negative effect on firm profitability. Also, the debt ratio variable has a significant negative effect on the profitability of general insurance firms in Indonesia. The firm efficiency can be able to increase profits rather than mastery of market share.

Inferring Market Structure with Aggregate Data: A Latent Segment Logit Approach

1993 ◽  
Vol 30 (3) ◽  
pp. 369-379 ◽  
Author(s):  
Michael J. Zenor ◽  
Rajendra K. Srivastava
Keyword(s):  
Panel Data ◽  
Market Structure ◽  
Market Share ◽  
Time Series Data ◽  
Marketing Mix ◽  
Series Data ◽  
Proposed Model ◽  
Model Account ◽  
Validation Tests ◽  
Individual Choices

In this paper, the authors introduce a “latent segment logit” (LSL) model that allows the identification of latent market segments when only macro-level time-series data (e.g., market share or sales, not individual choices) are available. The proposed model provides a paramorphic representation of market structure, based on the notion that “structure” implies heterogeneity in preferences and/or response to marketing mix elements. It assumes that independence of irrelevant alternatives (IIA) holds within latent segments (i.e., segments are homogeneous) but allows for heterogeneity across segments. Estimates for segment characteristics (including size, brand preferences, and sensitivity to marketing mix variables) are obtained by applying the model to aggregated longitudinal panel data. Validation tests are conducted on both the aggregated and disaggregated panel data. Aggregate validation demonstrates that the model is superior to standard market share models in terms of calibration and predictive fit. Disaggregated validation demonstrates that the latent segments recovered by the model account for much of the variation across household purchase histories, even though these data were not utilized in the estimation.

scholarly journals The Effect of Financial and Non-Financial Indicators on the Profitability of Islamic Commercial Banks in Indonesia

2021 ◽  
Vol 17 (1) ◽  
pp. 42-52
Author(s):  
Rafika Mardillasari ◽  
Sufyati HS ◽  
Ali Muktiyanto
Keyword(s):  
Market Share ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Financial Indicators ◽  
Return On Assets ◽  
Directional Effect ◽  
Significant Negative Effect ◽  
Negative Effect

This study aims to analyze the influence of financial indicators (CAR, FDR, BOPO, NIM, NPF) and non-financial (number of bank offices, market share, GCG, CSR) on profitability that is proxied by Return on Assets (ROA) of Islamic Banks in 2014 -2018. The data source used is secondary data from 2014-2018. Data analysis techniques used are descriptive analysis, multiple linear regression analysis and the classic assumption test. Findings. The results of the study are that CAR does not have a significant negative effect. FDR does not have a significant negative directional effect. BOPO has a significant negative effect. NIM has a positive positive significant effect. NPF has a significant negative effect. The number of bank offices has no significant positive effect. Market share does not have a significant negative directional effect. GCG does not have a significant negative effect. CSR has a significant negative effect.  The adjusted R2 value is 73.21% while the remaining 26.79% is influenced by other variables outside the study so the researcher should further add other variables.

scholarly journals PENGARUH TINGKAT KESEHATAN BANK TERHADAP ROA dan ROE BANK UMUM SYARIAH PERIODE 2012-2018

2021 ◽  
Vol 8 (2) ◽  
pp. 127
Author(s):  
Ma'shumatul Kurnia ◽  
Dian Filianti
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Lagrange Multiplier ◽  
Return On Assets ◽  
Return On Equity ◽  
Purposive Sampling ◽  
Significant Negative Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

ABSTRAKPenelitian ini bertujuan untuk mengetahui kesehatan perbankan yang diwakili oleh GCG, CSR, FDR, dan BOPO terhadap return on assets (ROA), dan return on equity (ROE) BUS periode 2012-2018. Data yang digunakan adalah data tahunan yang diperoleh dari website resmi masing-masing sampel Bank Umum Syariah. Pemilihan sampel menggunakan metode purposive sampling. Metode penelitian ini menggunakan dua kali analisis regresi data panel dengan pemilihan model regresi data panel yang tepat melalui 3 uji yaitu uji chow, uji hausman, dan uji lagrange multiplier. Hasil penelitian pada analisis regresi pertama menunjukkan bahwa variabel GCG, CSR, dan FDR tidak berpengaruh signifikan terhadap ROA, sedangkan variabel BOPO berpengaruh negatif signifikan terhadap ROA. Kemudian pada analisis regresi kedua menunjukkan bahwa variabel GCG dan FDR tidak berpengaruh signifikan terhadap ROE, variabel CSR dan BOPO berpengaruh negatif signifikan terhadap ROE. Sedangkan secara simultan (bersama-sama) variabel GCG, CSR, FDR dan BOPO berpengaruh signifikan terhadap profitabilitas Bank Umum SyariahKata Kunci: Tingkat Kesehatan Bank, CSR, BOPO, Profitabilitas. ABSTRACTThis study aims to determine the health of banking represented by the GCG, CSR, FDR, and BOPO on return on assets (ROA), dan return on equity (ROE) BUS for the period 2012-2018. The data used was annual data obtained from the official website of each sample of the Syariah Commercial Bank. The sample selection used a purposive sampling method, where there were 5 samples. This research method used two-panel data regression analysis by selecting the right panel data regression model through 3 tests, namely chow test, Hausman test, and Lagrange multiplier test.  The results of the research in the first regression analysis showed that the GCG, CSR, and FDR variables had no significant effect on ROA, while the BOPO variable had a significant negative effect on ROA. Then the second regression analysis shows that the GCG and FDR variables do not have a significant effect on ROE, the CSR and BOPO variables have a significant negative effect on ROE. Meanwhile, simultaneously (together) the GCG, CSR, FDR and BOPO variables have a significant effect on the profitability of Islamic Commercial Banks.Keywords: Bank Health Level, CSR, BOPO, Profitability.

scholarly journals PENGARUH INFLASI, KURS DAN SUKU BUNGA TERHADAP RISIKO SISTEMATIS SEBAGAI VARIABEL MEDIASI DAN IMPLIKASINYA TERHADAP HARGA SAHAM DENGAN PENERAPAN REGRESI DATA PANEL COMMON EFFECT

Kinerja ◽  
2020 ◽  
Vol 2 (01) ◽  
pp. 133-152
Author(s):  
Sunaryo
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Path Analysis ◽  
Stock Price ◽  
Systematic Risk ◽  
Significant Negative Effect ◽  
Common Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

The aims of this research are to examine the direct effect and indirect effect of Inflation, Exchange Rate, Interest Rate on Stock Price with Systematic Risk as an intervening variable. This research sample is shared in the sharia category in the JII group (Jakarta Islamic Index) listed on the Indonesia Stock Exchange (IDX) period 2013-2018 by using a purposive sampling method. There were 41 stocks selected as samples. The method of analysis used is Path Analysis, the development of panel data regression common effect. Using panel data regression with common effect analysis, it is known that the Inflation and Exchange Rate has a positive significant effect on Systematic Risk. However, Interest Rates have a significant negative effect on Systematic Risk. Systematic Risk has a significant negative effect on Stock Price. The path analysis results show that Systematic Risk mediates the effect of Inflation and Exchange Rates on the Stock price.

scholarly journals Sectoral and Firm-Level Determinants of Profitability: A Multilevel Approach

2018 ◽  
Vol 6 (2) ◽  
pp. 32-44 ◽  
Author(s):  
Ivana Blažková
Keyword(s):  
Growth Rate ◽  
Market Share ◽  
Positive Impact ◽  
Market Concentration ◽  
Firm Level ◽  
Size Number ◽  
Firm Profitability ◽  
Negative Effect ◽  
Equity Ratio ◽  
Food And Drink

Abstract The paper aimed to contribute to the literature on the determinants of firm profitability, from the perspective of the Czech economy. We followed a multilevel/hierarchical approach towards the analysis of the sectoral and firm-level determinants of the profitability of companies operating in the Czech food processing industry during years 2005-2012 (622 Firms in 10 Sectors). We assessed an impact of industry (i.e. market concentration, sector growth rate and growth rate of imports) and firm-level characteristics (i.e. market share, firm age, firm size, number of employees, debt/equity ratio and short-term risk) on the return on assets (ROA). Surprisingly, there were no substantial differences between the separate models for industry and firm-level determinants and a combined one. We found a positive impact of market concentration and market share and a negative effect of age and risk-taking behaviour on a firm profitability. Based on these findings, managers in the Czech food and drink industry should pay more attention to the debt policy.

scholarly journals EFFECT OF CAR, LDR, ROA, ROA AND NIM TOWARD THE COMMERCIAL BANK IN INDONESIA

2020 ◽  
Vol 4 (01) ◽  
Author(s):  
Muhammad Alazis
Keyword(s):  
Time Series ◽  
Commercial Bank ◽  
Financial Services ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Analysis Tool ◽  
Significant Negative Effect ◽  
Negative Effect

The purpose of this study to determine the effect of CAR, LDR, ROA, and NIM either partially or simultaneously on ROA in a conventional commercial bank in Indonesia. The study used secondary data drawn from the Indonesian Banking Statistics published by the Financial Services Authority. The research sample of 60 monthly time series data began in December 2014 s / d November 2019. The analysis tool using multiple linear regression, t-test, F test and coefficient of determination. The study concluded: 1) CAR significant negative effect on ROA, 2) LDR significant negative effect on ROA; 3) BOPO significant negative effect on ROA, 4) NIM significant negative effect on ROA, 5) CAR, LDR, ROA, and NIM simultaneous and significant impact on ROA.

Pengaruh Perputaran Kas, Perputaran Modal Kerja, Rasio Utang, dan Ukuran Perusahaan terhadap Likuiditas pada Perusahaan Sub Sektor Logam dan Sejenisnya yang Terdaftar di Bursa Efek Indonesia

2021 ◽  
Vol 23 (2) ◽  
pp. 179-186
Author(s):  
Winda Apriliyani ◽  
Hetty Muniroh
Keyword(s):  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Debt Ratio ◽  
Significant Positive Effect ◽  
Working Capital ◽  
Significant Negative Effect ◽  
Analysis Technique ◽  
Negative Effect ◽  
Equity Ratio ◽  
Positive Effect

The purpose of this research was to analysis the effect of cash turnover, working capital turnover, debt ratio and firm size on liquidity. The research sample was 7 companies with 35 observations. The data analysis technique used was multiple linear regression analysis. The results of the study showed that cash turnover has an insignificant negative effect on liquidity, working capital turnover has a significant negative effect on liquidity, debt to equity ratio have a significant negative effect on liquidity and the size of the company has a significant positive effect on liquidity.

Percepatan Pembangunan Infrastruktur dan Penambahan Utang Luar Negeri Pemerintah: Potensi Manfaat vs Potensi Risiko

2017 ◽  
Vol 2 (4) ◽  
pp. 1-14
Author(s):  
Hangger Prihandoko
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Development ◽  
Significant Negative Effect ◽  
Effect Model ◽  
Negative Effect ◽  
The Government ◽  
Basic Infrastructure

This study analyzes the effect of basic infrastructure development in the form of roads, electricity, education and health by the government on economic growth at the provincial level based on HDI groups namely provincial groups with high HDI and provincial groups with medium HDI. This study uses panel data composed of data across 32 provinces within the period of 2007-2014. Estimation is done by random effect model panel data regression analysis technique. The findings of this study are in high HDI provinces all forms of infrastructure are insignificant except educational infrastructure which has a significant negative effect, whereas in medium HDI provinces only health infrastructure that is not significant and only education infrastructure has a significant negative effect, other types of infrastructure such as roads, electricity and water have a significant positive effect. Based on these findings the prioritization of infrastructure development in relatively lagging regions is not only supporting the equitable distribution of economic growth but also the most efficient form of budget allocation for infrastructure development.   Abstrak Penelitian ini menganalisis pengaruh pembangunan infrastruktur dasar berupa jalan, listrik air, pendidikan dan kesehatan oleh pemerintah terhadap pertumbuhan ekonomi di tingkat propinsi berdasar kelompok IPM Tinggi dan IPM Sedang. Jenis data yang digunakan adalah data panel yang tersusun dari data lintas ruang 32 propinsi dalam periode tahun 2007-2014. Estimasi dilakukan dengan teknik analisis regresi data panel random effect model. Temuan hasil penelitian ini adalah di provinsi IPM tinggi seluruh infrastruktur tidak berpengaruh signifikan kecuali infrastruktur pendidikan yang signifikan dengan arah negatif, sementara di provinsi IPM sedang hanya infrastruktur kesehatan yang tidak signifikan dan hanya infrastruktur pendidikan yang signifikan negatif, jenis infrastruktur lain berupa jalan, listrik dan air memiliki pengaruh signifikan positif. Berdasar temuan tersebut maka pemberian prioritas pembangunan infrastruktur pada daerah yang relatif tertinggal selain mendukung pemerataan pertumbuhan ekonomi juga merupakan bentuk alokasi anggaran pembangunan infrastruktur yang paling efisien.

scholarly journals EFFECT OF BI RATE, INFLATION, EXCHANGE, AND THE DOW JONES AGAINST COMPOSITE STOCK PRICE INDEX (CSPI CASE STUDY IN 2009-2014)

2015 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Tuti Purwaningsih
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Analysis Tool ◽  
Significant Negative Effect ◽  
Negative Effect ◽  
Stock Price Index ◽  
The Exchange Rate

The purpose of this study was to determine the influence of the independent variables are indicated by the BI Rate, the rate of inflation, exchange rate and the Dow Jones Against Composite Stock Price Index. The analysis tool used is multiple linear regression using time series data is 2009-2014. In the model equations, Composite Stock Price Index is the dependent variable and the BI Rate, the rate of inflation, exchange rates as well as Dow Jones is the independent variable. Results of regression is that the variable BI Rate (X1) a significant negative effect on the Composite Stock Price Index, inflation (X2) significant negative effect on the Composite Stock Price Index, the exchange rate (X3) significant negative effect on Stock Price Index and Index Dow Jones (X3) positive and significant impact on the Composite Stock Price Index. The coefficient of determination (R2) is 0.970445, or 97%. This indicates that the BI Rate (X1), the rate of inflation (X2), the exchange rate (X3) and Dow Jones (X4) in explaining the dependent variable or dependent Composite Stock Price Index amounted to 97%, while the remaining 3% is explained by other variables outside the model that implicitly reflected in confounding variables.  Suggestions can meet of the results of this study are advised to look at the effect of other macroeconomic variables in detail which can affect and use other variables outside the monetary variables like social and political situation of a country. And also advised to conduct research using other approaches.

scholarly journals Pengaruh Ukuran Perusahaan, Pro Fitabilitas dan Opini Audit Terhadap Audit Delay Pada Sektor Pertambangan dan Mineral di BEI 2013-2019

2021 ◽  
Vol 5 (1) ◽  
pp. 106-115
Author(s):  
Annisa Annisa ◽  
Sisi Sartika
Keyword(s):  
Panel Data ◽  
Significant Positive Effect ◽  
Audit Opinion ◽  
Purposive Sampling ◽  
Mineral Sector ◽  
Significant Negative Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

This research aims to test the company's size, profitability and audit opinion on audit delay in the mining and mineral sector in IDX. This study used samples in the mining and mineral sector in IDX 2013-2019. Based on purposive sampling, the number of mining and mineral companies used in the research sample is as many as 9 companies. Hypothetical testing using panel data regression using the E Views 8.0 program. The results showed that the size of the company had a significant positive effect on audit delay, profitability had no effect on audit delay and audit opinion had a significant negative effect on audit delay.

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