scholarly journals Pengaruh Profitabilitas, Kebijakan Hutang, Degree Of Operating Leverage Terhadap Nilai Perusahaan

2019 ◽  
Vol 2 (1) ◽  
pp. 43-52
Author(s):  
Aghlul Jannatun ◽  
Yuli Chomsatu
Keyword(s):  
Operating Leverage

Dalam menghadapi perkembangan zaman yang semakin cepat pada sektor perekonomian di Indonesia membuat perusahan berfikir untuk menemukan cara agar nilai perusahaan yang ada saat ini bisa bermanfaat untuk masa yang akan datang. Penelitian ini dilakukan untuk menguji pengaruh profitabilitas, kebijakan hutang dan dol (Degree of Operating Leverage ) terhadap nilai perusahaan yang terdaftar di Jakarta Islamic index (JII) selama periode Juni 2016 – Mei 2019. Populasi penelitian ini adalah perusahaan yang terdaftar di Jakarta Islamic Index (JII).Pengambilan sampel ditentukan dengan menggunakan purposiv sampel. Terdapat 30 sampel dalam penelitian ini berdasarkan kriteria yang telah ditentukan. Berdasarkan penelitian yang telah dilakukan,hasil yang didapat menunjukkan bahwa profitabilitas,kebijakan hutang dan dol berpengaruh signifikan terhadap nilai perusahaan. Hasil penelitian ini dilakukan dengan pengujian regresi yang menunjukkan jika profitabilitas, kebijakan hutang dan dol semakin tinggi akan meningkatkan nilai perusahaan . Manfaat dari penelitian ini adalah sebagai salah satu pertimbangan investor dalam menentukan keputusan saat akan melakukan pengambilan keputusan investasi di suatu perusahaan.

Analytical redefinition of DOL and managerial investment decisions

2014 ◽  
Vol 40 (7) ◽  
pp. 734-754 ◽  
Author(s):  
Yoram Kroll ◽  
David Yechiam Aharon
Keyword(s):  
Large Scale ◽  
Investment Decision ◽  
Production Level ◽  
Fixed Cost ◽  
Theoretical Formulation ◽  
Optimal Production ◽  
Demand Shocks ◽  
Content Type ◽  
Operating Leverage ◽  
The Impact

Purpose – The purpose of this paper is to develop alternative analytical measures for the degree of operating leverage (DOL) that reflect the impact of uncertain demand shocks in the product's market on optimal production levels, sales and profits of the firm. Design/methodology/approach – The elasticity measures are constructed according to a theoretical formulation of optimal production level that corresponds to demand shocks for given predetermined levels of fixed cost. Findings – The paper suggests two main findings. First, the analytical marginal DOL is at least twice the traditional DOL depending on the structure of the shock, the production function and demand's elasticity. The traditional DOL is equal to the measure only when large-scale negative demand prompts the firm to abandon production. Second, the paper also provides an analytical measure of DOL in terms of elasticity of profit to sales rather than to production level. Both theoretically and empirically elasticity of profit to sales can be better measured and better reflects risk. Research limitations/implications – This paper should be extended to encompass multiple shocks on demand and supply while investigating the empirical multi variants distribution of the shocks. Practical implications – The model can be used by managers who are well informed about the fixed and variable costs of their firm. The model determines the mean profit- risk trade off which is an important factor in all investment decision problems. Originality/value – Surprisingly and according to the best knowledge, this paper is the first attempt in the literature for alternative analytical DOLs’ formulations that is coherent with basic economic theories of optimal production level under risk.

Labor Unions and Product Quality Failures

2021 ◽  
Author(s):  
Omesh Kini ◽  
Mo Shen ◽  
Jaideep Shenoy ◽  
Venkat Subramaniam
Keyword(s):  
Product Quality ◽  
Labor Unions ◽  
Product Recalls ◽  
Employee Morale ◽  
Product Recall ◽  
Quality Outcomes ◽  
Panel Regressions ◽  
Broad Cross Section ◽  
Operating Leverage ◽  
The Impact

In this paper, we study the impact of labor unions on product quality failures. We use a product recall as our measure of quality failure because it is an objective metric that is applicable to a broad cross-section of industries. Our analysis employs a union panel setting and close union elections in a regression discontinuity design framework to overcome identification issues. In the panel regressions, we find that firms that are unionized and those that have higher unionization rates experience a greater frequency of quality failures. The results obtain even at a more granular establishment level in a subsample in which we can identify the manufacturing establishment associated with the recalled product. When comparing firms in close elections, we find that firms with close union wins are followed by significantly worse product quality outcomes than those with close union losses. These results are amplified in non–right-to-work states, where unions have a relatively greater influence on the workforce. We find that unionization increases firms’ costs and operating leverage and, consequently, crowds out investments that potentially impact quality. We also find some suggestive evidence that unions may compromise quality by hurting employee morale and by resisting technological upgrades in the firm. Overall, our results suggest that unions have an adverse impact on product recalls, and thus, product quality is an important dimension along which unions impact businesses. This paper was accepted by Gustavo Manso, finance.

scholarly journals Operational Efficiency Forecasting Model of an Existing Underground Mine Using Grey System Theory and Stochastic Diffusion Processes

2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
Svetlana Strbac Savic ◽  
Jasmina Nedeljkovic Ostojic ◽  
Zoran Gligoric ◽  
Cedomir Cvijovic ◽  
Snezana Aleksandrovic
Keyword(s):  
Time Horizon ◽  
Diffusion Processes ◽  
Operational Efficiency ◽  
Grey System Theory ◽  
Underground Mine ◽  
Production Costs ◽  
Forecasting Model ◽  
Grey System ◽  
Stochastic Diffusion ◽  
Operating Leverage

Forecasting the operational efficiency of an existing underground mine plays an important role in strategic planning of production. Degree of Operating Leverage (DOL) is used to express the operational efficiency of production. The forecasting model should be able to involve common time horizon, taking the characteristics of the input variables that directly affect the value of DOL. Changes in the magnitude of any input variable change the value of DOL. To establish the relationship describing the way of changing we applied multivariable grey modeling. Established time sequence multivariable response formula is also used to forecast the future values of operating leverage. Operational efficiency of production is often associated with diverse sources of uncertainties. Incorporation of these uncertainties into multivariable forecasting model enables mining company to survive in today’s competitive environment. Simulation of mean reversion process and geometric Brownian motion is used to describe the stochastic diffusion nature of metal price, as a key element of revenues, and production costs, respectively. By simulating a forecasting model, we imitate its action in order to measure its response to different inputs. The final result of simulation process is the expected value of DOL for every year of defined time horizon.

scholarly journals The Effect of Financial Leverage, Operating Leverage and Current Ratio on Profitability at PT. Manunggal Persada Jakarta

2019 ◽  
Vol 3 (2) ◽  
pp. 135
Author(s):  
Waluyo Jati
Keyword(s):  
Hypothesis Testing ◽  
Regression Coefficient ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Financial Leverage ◽  
Current Ratio ◽  
Independent Variable ◽  
Operating Leverage

Funds can be obtained from company owners or from outside parties. The purpose of this study was to determine the effect of financial leverage, operating leverage and current ratio on profitability at PT. Manunggal Persada Jakarta. The method used in this research is descriptive with an associative approach, the sampling technique used is proportional random sampling using the census or saturated sampling method with a sample of 7 years of financial statements. The analysis tool uses classical assumption testing, regression testing, determination coefficient testing and hypothesis testing. The results of the study concluded that the regression coefficient value of Financial leverage of 0.005 was positive with a contribution of 19.3%. Hypothesis testing obtained a significance value of 0.324> 0.05. Regression coefficient value of Operating leverage of 0.001 is positive with a contribution of 16.5%. Hypothesis testing obtained a significance value of 0.368> 0.05. Current coefficient regression value of 0.158 is positive with a contribution of 31.9%. Hypothesis testing obtained a significance value of 0.187> 0.05. Obtained a regression equation Y = 0.110 + 0.009X1 + 0.001X2 + 0.177X3, the regression coefficient value of each positive independent variable with a correlation of 0.927 and a coefficient of determination of 85.8% while the remaining 14.2% is influenced by other factors. Hypothesis testing obtained by calculating Fcount> Ftable or (6.064> 4.120). Thus simultaneously there is a positive and significant effect between financial leverage, operating leverage and current ratio to rentability.

scholarly journals Pengaruh Profitabilitas, Tingkat Pertumbuhan Aktiva, Leverage Operasi, Stabilitas Penjualan terhadap Struktur Modal dan Nilai Perusahaan

IQTISHODUNA ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 17-38
Author(s):  
Kety Lulu Agustin ◽  
Ubud Salim ◽  
Andarwati Andarwati
Keyword(s):  
Capital Structure ◽  
Firm Value ◽  
Stock Exchange ◽  
Partial Least Square ◽  
Least Square ◽  
Manufacturing Companies ◽  
Company Value ◽  
Asset Growth ◽  
Operating Leverage ◽  
The Capital Structure

The purpose of this research is to determine the effect of profitability, asset growth, operating leverage and sales stability on the capital structure and firm value. The company value in this study was published with Tobin Q. The population of this study were all manufacturing companies reported on the Indonesia Stock Exchange for the period 2015-2017. In accordance with the selection criteria, there are 46 filtered sample companies. The analysis technique that used is Partial Least Square (PLS).  The results of hypothesis indicate profitability and sales that are significant to the capital structure while increasing performance and leverage of operations do not have a significant effect on capital structure. Profitability, asset growth, sales stability have a significant effect on firm value while operating leverage does not involve significance to firm value. Profitability and influence of sales have a significant effect on firm value through capital structure, while yield growth and operating leverage are opposite.

scholarly journals ANALISIS PENGARUH CAPITAL/LABOUR INTENSIVE, INVESTASI, KEPEMILIKAN MANAJERIAL, LEVERAGE OPERASI DENGAN VARIABEL MEDIASI KEBIJAKAN DIVIDEN DAN LEVERAGE KEUANGAN TERHADAP NILAI PERUSAHAAN

2017 ◽  
Vol 1 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Robi Nugraha
Keyword(s):  
Path Analysis ◽  
Firm Value ◽  
Stock Exchange ◽  
Financial Sector ◽  
Managerial Ownership ◽  
Financial Leverage ◽  
Panel Data Regression ◽  
Data Regression ◽  
Result Show ◽  
Operating Leverage

ABSTRACT The purpose of this study was to analyze the influence of capital labour intensive, investment, managerial ownership, operating leverage, dividen and financial leverage on the firm value of Indonesia non financial sector companies, the influence of capital labour intensive, investment, managerial ownership, operating leverage variable on dividen and financial leverage of Indonesia non financial sector companies, and the influence of capital labour intensive, investment, managerial ownership, operating leverage variable on the firm value through dividen and financial leverage as intervening variable. The research data was collected using purposive sampling method to the data of non financial sector companies listed on the Indonesian Stock Exchange during the period 2003-2012. Based on the criteria of the study obtained 310 samples were then analyzed Using the panel data regression and path analysis. The results show that the capital labour intensive, investment, managerial ownership, operating leverage, dividen and financial leverage have significant influences on the firm value of Indonesia non financial sector companies. The capital labour intensive, investment, managerial ownership, operating leverage variable do not have significant influences on dividen. The capital labour intensive, investment, managerial ownership, operating leverage variable have significant influences on financial leverage. With path analysis, the result show the The capital labour intensive, investment, managerial ownership, operating leverage variable do not have significant influence on the firm value of Indonesia non financial sector companies with dividen and financial leverage as intervening variable. Keywords: Capital Labour Intensive, Investment, Managerial Ownership, Operating Leverage, Dividen and Financial Leverage, Firm Value.

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