scholarly journals The impact of financial variables on systematic risk – An empirical study in manufacturing industry on Ho Chi Minh stock exchange

2017 ◽  
Vol 1 (Q4) ◽  
pp. 88-94
Author(s):  
Minh Tien Pham ◽  
Bich Huy Hai Bui ◽  
Thao Thi Thu Nguyen
Keyword(s):  
Fixed Effects ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Systematic Risk ◽  
Ordinary Least Squares ◽  
Operating Efficiency ◽  
Manufacturing Companies ◽  
Financial Variables ◽  
The Impact

The aim of this study is to examine the effect of financial variables on systematic risk, using the panel data of 64 manufacturing companies listed in Ho Chi Minh City Stock Exchange (HOSE) during the period of 2011-2015. The three models employed are pooled Ordinary Least Squares (OLS), Random Effect Model (REM), and Fixed Effects Model (FEM). The results of model tests show that FEM is the most suitable to carry out the analysis. In order to increase the efficiency of the model, the tests for model problems are conducted. The results point to the presence of heteroskedasticity problem in the model; therefore, the modified FEM is used to deal with this issue. Empirical evidence from HOSE indicates that leverage has a significantly positive impact while operating efficiency and profitability show significantly negative impact on systematic risk (beta).

Analysis Of The Impact Of Company Size On Systemic Risk Based On Capital Asset Pricing Model In Food And Beverages Companies Listed On The Indonesia Stock Exchange Year 2009-2011

2021 ◽  
Vol 12 (1) ◽  
pp. 01-07
Author(s):  
Rahmadina Agusti
Keyword(s):  
Asset Pricing ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Systematic Risk ◽  
Capital Asset Pricing ◽  
Company Size ◽  
Manufacturing Companies ◽  
Capital Asset ◽  
Food And Beverages ◽  
The Impact

Before investing, investors should consider the stock beta as a measure of systematic risk. By knowing beta stocks investors can directly determine the sensitivity of the return securities market returns. By knowing the sensitivity return, it automatically investors would be able to assess how much risk it will face when investing their funds in the company's stock. Investors can also adjust the investment that is fit to return they want to earn. This study aim is to determine the impact of company size on systematic risk based capital asset pricing models. Population of this study are all food and beverages manufacturing companies listed (listing) on ​​the Indonesian Stock Exchange from 2009 to 2011. There are 16 companies that fit in the criteria and the sample was 12 companies. Data were analyzed by multiple linear regression analysis. Results of this study showed that the size of the company significant positive effect on the systematic risk with adjusted R square value of 0.994, which means the size of the company has a strong influence in predicting systematic risk.

scholarly journals Prices of conventional and renewable energy as determinants of sustainable and secure energy development: regression model analysis

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Sandi Knez ◽  
Goran Šimić ◽  
Anica Milovanović ◽  
Sofia Starikova ◽  
Franc Željko Županič
Keyword(s):  
Developing Countries ◽  
Solar Energy ◽  
Fixed Effects ◽  
Sustainable Energy ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Energy Development ◽  
Energy Product ◽  
The Impact

Abstract Background The prices of energy resources are important determinants of sustainable energy development, yet associated with significant unknowns. The estimates of the impact of prices of energy products in the domestic market (for domestic consumers) are rare—hence the importance and novelty of this research. Therefore, the main goal of the paper is to assess the impact of domestic prices of gasoline, gas, coal, and solar energy on sustainable and secure energy future. Methods The research includes 14 countries (of which 7 are developed and 7 are developing countries) and a period of 5 years (2014–2018). The model also includes discrete variables: level of development (developing or developed), and the fact as to whether the country is an energy exporter or not. For the purposes of analysis, the following elements were used: Panel Data Analysis, Linear regression (with random and fixed effects), Durbin–Wu–Hausman test, and Honda test, with the use of R-studio software for statistical computing. Results The research showed that the biggest negative impact on energy sustainability was recorded by an increase in the price of coal and the smallest one by an increase in the price of solar energy. An increase in the price of gasoline has a positive impact, while an increase in the price of gas has no impact. The basic methodological result showed that the fixed effects linear model is more accurate than the random effect model. Conclusions The results of the paper, important as a sustainable energy policy recommendation, showed that the impact of changes in energy product prices is significantly greater in developing countries, but that the status of the country as an energy exporter has no significance. In addition, the paper points to the need to intensify the research on the assessment of the impact of energy product prices for domestic consumers on their ability to pay that price, because with a certain (so far undefined) increase in energy product prices, a certain group of domestic consumers moves into a category that is not in line with sustainable energy development and is extremely undesirable in every respect—energy poverty.

scholarly journals Impact of Full IFRS, Accounting Standards for SMES and Company Demographics on Firms’ Return on Asset and Return on Equity using Panel Data Regression

2019 ◽  
Vol 8 (6S) ◽  
pp. 589-601 ◽  
Keyword(s):  
Least Squares ◽  
Random Effects ◽  
Fixed Effects ◽  
Random Effect ◽  
Ordinary Least Squares ◽  
Lagrangian Multiplier ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Real Property ◽  
The Impact

Due to globalization, markets are becoming more interconnected as the companies are engaged in doing cross-border offerings. Currently, competitions are intensified because Domestic organizations discover themselves competing with each nearby opposite numbers and worldwide companies. But one component that hinders SMEs is the need for reliable and similar monetary data. According to Abarca (2014), adoption of a high-quality and consistent set of accounting requirements is critical so as for the businesses to remain competitive in ASEAN member states. This paper ambitions to answer the query, what modified into the extent of the impact of compliance with full IFRS and IFRS for SMEs on profitability of agencies belong to real property enterprise? This paper moreover sought to decide whether there may be a sizeable distinction among the groups’ compliance with the overall PFRS and the PFRS for SMEs and to determine whether or now not there is a massive distinction among the companies’ financial normal overall performance earlier than and after the adoption of the PFRS for SMEs.Paired T-test have become employed in case you need to determine whether there is a big distinction between the agencies’ compliance with the entire PFRS and the PFRS for SMEs and to decide whether or not there may be a big difference some of the groups’ monetary performance earlier than and after the adoption of the PFRS for SMEs. Using STATA, the great appropriate version for every economic ratio on the subject of degree of compliance emerge as determined on. First, take a look at parm command became used to find out which most of the Least Squares Dummy Variable Regression Modes (LSDV1, LSDV2, LSDV3) underneath the Fixed Effects Model is the ideal version. Afterwards, Hausman Fixed Random Test changed into used to pick out out which is more suitable amongst Fixed Effects Model and Random Effects Model. If Fixed Effects Model modified into the more appropriate one, the Wald’s test turn out to be used to determine the best version among Fixed Effects Model and Ordinary Least Squares Model. On the alternative hand, if Random Effects Model became the more suitable one, the Breusch and Pagan Lagrangian Multiplier Test for Random Effect have become used to decide the satisfactory version amongst Random Effects Model and Ordinary Least Squares. Moreover, if Ordinary Least Squares became the splendid model, it is going to be in addition tested to check for heteroscedasticity and multicollinearity. White’s test became used to check for heterescedasticity and Variance Inflation Factor have become used to test if multicollinearity is gift. The results display that the adoption of PFRS for SMEs stepped forward the compliance of Philippine real property SMEs. However, no vast alternate became said inside the financial average performance of those companies (as measured with the resource of cross back on assets and go back on equity). This was further supported by the results of the panel regression. This means that despite having a relatively

scholarly journals FAKTOR DETERMINAN AUDIT REPORT LAG PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2017-2019

2021 ◽  
Vol 5 (2) ◽  
pp. 132-141
Author(s):  
Zulfa Rosharlianti
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Manufacturing Companies ◽  
Audit Report ◽  
Investment Opportunity ◽  
Analysis Techniques ◽  
Effect Model ◽  
Independent Variable

This study aims to determine the description and determinants of audit report lag factors in manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019. The research independent variable is financial distress, investment opportunity and KAP reputation, while the dependent variable is audit report lag. Samples were taken through purposive sampling, in order to obtain a number of 31 companies. Data analysis techniques used multiple linear regression panel data Random Effect Model. The results of this study are that together financial distress, investment opportunity and KAP reputation have a significant effect on audit report lag. Partially, financial distress has no effect on the audit report lag, investment opportunity has no effect on the audit report lag, and the reputation of KAP has no effect on the audit report lag.

scholarly journals Pengaruh Board Diversity terhadap Manajemen Laba

2019 ◽  
Vol 4 (2) ◽  
pp. 223-233
Author(s):  
Dewi Fatimah
Keyword(s):  
Earnings Management ◽  
Stock Exchange ◽  
Random Effect ◽  
Gender Diversity ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Board Diversity ◽  
Effect Model

This study examines the effect on board diversity against earning management. The used samples are non-financial companies listed on the Indonesia Stock Exchange from 2010 to 2013. The data collection method using a purposive sampling method and data used are panel data. The regression used is ordinary least squares regression (OLS) with a fixed-effect model approach and the random effect model. The results showed that board diversity proxied by gender, age, education, and tenure no significant effect on earnings management, whereas the diversity proxy board with tenure significant effect on earnings management. Earnings management using discretionary accruals proxy and use a proxy for board gender diversity, age, minority education, and tenure.

Empirical Analysis of Dependence on Capital Structure with Respect to Its Impact on the Financial Performance of Domestic Non Financial Listed Stock Exchange Companies Operating in the Public Sector of Pakistan

2016 ◽  
Vol 3 (2) ◽  
pp. 58-76
Author(s):  
Syed Jawad Hussain Shahzad ◽  
Memoona Kanwal
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Research Work ◽  
Debt Financing ◽  
The Impact ◽  
The Relationship

This research work is based on the relationship that exists between the capital structure and performance of different sector's firms currently operating in the Pakistan. Capital structure decisions can be considered as the most important financial performance and risk management tools which are available to the companies' management. Capital structure can also play an important role in performance assessment, in performance management and in effective handling of ownership claims. The extensive use and heavy dependence on debt has exposed many companies to potential risk of declined performance and also to the risk of insolvency. This study analyzes the relationship between various capital structure indicators and dependence of financial performance of companies on these indicators using a broad sample covering 202 non-financial firms listed on Karachi Stock Exchange (KSE) over the period of 1999-2012. The sample firms are divided into five sectors i.e. Textile, Chemical, Cement, Food and Fuel & Energy. Financial performance of firms is quantified by Return on Assets (ROE), Return on Equity (ROE), Price-Earnings ratio (PE) and Tobin's Q (TQ). The relationship between financial performance measures and capital structure measures i.e. total debt, short term debt and long term debt is estimated using GLS fixed and random effect model. Sector wise comparison shows that majority of the sectors have similar capital structure. The impact of capital structure on the financial performance is also similar across sectors with few variations. Overall the relationship is found to be negative among capital structure and firm performance measured by ROA, ROE and PE except TQ which is positively related to Long Term Debt to total Assets (LTDA). The result of industry wise comparison contributes significantly to the existing stream of knowledge. The results indicate that lower reliance on the debt financing improves the performance of the firm whereas dependence and exposure of debt financing reduce performance. The research can be useful for the management of companies in different sectors that want to improve their performance.

Sales nationality and debt financing impact on firm’s performance and risk

2017 ◽  
Vol 12 (1) ◽  
pp. 103-126 ◽  
Author(s):  
Ahmad Y. Khasawneh ◽  
Qais A. Dasouqi
Keyword(s):  
Fixed Effects ◽  
Negative Impact ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Debt Financing ◽  
Industrial Firms ◽  
Content Type ◽  
Domestic Firms ◽  
Amman Stock Exchange ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of debt financing on both performance and systematic risk in Amman Stock Exchange listed firms. The authors focus the study to analyze the differences between services and industrial firms in one sense and the differences between international and domestic firms in the other sense, as the study depends on the geographical distribution of sales to classify the nationality of firms. Design/methodology/approach The study sample includes all listed Jordanian firms in Amman Stock Exchange from 2005 to 2013 for both industrial and services sectors. Using panel data techniques, fixed effects regression with modified Driscoll-Kraay standard error as a remedy for heteroscedasticity problem is employed. Findings The results show that there is a significant negative impact of debt financing on the firm’s performance, where the sector and the sales nationality play an important role. Moreover, the results indicate that there is a significant positive impact of debt financing on the firm’s systematic risk. Taking the sector and sales nationality into consideration, the authors find that the debt financing has no significant impact on the systematic risk of services firms and domestic firms. Additionally, the findings indicate that services firms and international firms are, on average, more riskier than industrial firms and domestic firms, respectively. Originality/value The paper provides a visibility on the comparison between international and local firms in Jordan in terms of the impact of debt financing on the financial performance and systematic risk in one research.

scholarly journals Firm Size, Profitability, Leverage as Determinants of Audit Report Lag: Evidence From Indonesia

2020 ◽  
Vol 11 (2) ◽  
pp. 61
Author(s):  
Lailah Fujianti ◽  
Indra Satria
Keyword(s):  
Internal Control ◽  
Stock Exchange ◽  
Random Effect ◽  
Financial Statements ◽  
Company Size ◽  
Manufacturing Companies ◽  
Audit Report ◽  
Financial Reports ◽  
Total Observation ◽  
The Impact

This study examines the factors that influence Audit Report Lag in Indonesia. This factor is seen from the financial performance of the company size, profitability and corporate leverage. The research sample was 91 manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the period of 2015 and 2016. The total observation for 2 years amounted to 182. The method of data analysis is random effect models. The results showed that company size and profitability are variables that can shorten Audit Report Lag. Meanwhile, leverage has not empirically proven to have a significant effect. The findings implies that large companies have better information and technology systems compared to smaller companies so as to strengthen internal control and speed of presentation of financial statements. High profitability encourages companies to present financial reports on time so that the impact of ARL decline.

scholarly journals Impact of gender and nationality diversity on financial performance: A study of listed banks in Morocco

2020 ◽  
Vol 18 (1) ◽  
pp. 56-68 ◽  
Author(s):  
Mhamed Chebri ◽  
Abdeaziz Bahoussa
Keyword(s):  
Financial Performance ◽  
Least Squares ◽  
Fixed Effects ◽  
Stock Exchange ◽  
Gender Diversity ◽  
Ordinary Least Squares ◽  
Empirical Literature ◽  
Depth Analysis ◽  
Fixed Effects Regression ◽  
The Impact

The purpose of this article is to explore the effect of the diversity of boards on the financial performance of banks. Based on an in-depth analysis of the theoretical and empirical literature, this study aims to examine the impact of gender diversity and the diversity of nationalities on the financial performance of Moroccan banks. To this end, the study uses a set of panel data from all Moroccan banks listed on the stock exchange for the period 2014-2018. The model was estimated by an ordinary least squares (OLS) regression equation , by the time fixed-effects regression model, and then by three-stage least squares (3SLS) regression analysis with time fixed effects to better understand the endogeneity problem variables of the model. The results of the study reveal that gender diversity has a negative and significant effect on the financial performance of listed Moroccan banks measured by both return on assets (ROA) and return on equity (ROE), while the national diversity is not significantly related to the financial performance of these banks. Likewise, the interaction between the two measures of diversity has no significant impact on financial performance.

scholarly journals PENGARUH MOBILE BANKING TERHADAP PROFITABILITAS BANK DI BURSA EFEK INDONESIA

Profit ◽  
2021 ◽  
Vol 15 (01) ◽  
pp. 95-103
Author(s):  
Nur Imamah ◽  
Dinda Ayu Safira
Keyword(s):  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Mobile Banking ◽  
Return On Equity ◽  
Ordinary Least Square ◽  
Effect Model ◽  
And Control ◽  
The Impact

This study aims to determine the impact of mobile banking on bank profitability in Indonesia. The research sample consisted of 27 banks listed on the Indonesia Stock Exchange during 2015-2018. This study uses the dependent variable-return on assets (ROA), return on equity (ROE) and net profit margin (NPM), independent variable-mobile banking (m-banking), and control variables. This type of research is explanatory research by using panel data regression analysis or ordinary least square (OLS) method. The findings from the random effect model or generalized least square in this study are that mobile banking has a positive effect but statistically insignificant on ROA, ROA, and NPM. This implies that mobile banking in Indonesia can increase the profitability of banks by further increasing various digital innovations.

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