scholarly journals Research on management evaluation of enterprise sales cash flow percentage method based on the application of quadratic linear regression equations

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fanxiu Gao ◽  
Reem Alotaibi ◽  
Mohammed Yousuf Abo Keir

Abstract This article introduces an improved sales percentage method to quantitatively calculate the evaluation process of the corporate sales cash flow percentage method in order to obtain more evidence-based financial data and increase the accuracy of the evaluation results. At the same time, the paper uses SPSS to perform regression analysis on related financial indicators and sales revenue and obtains quadratic regression equations and linear regression equations. The thesis predicts other financial index data based on the predicted future sales revenue, uses the revised linear regression equation to obtain the company's future net cash flow and calculates the company value.

2017 ◽  
Vol 63 (2) ◽  
pp. 320-325
Author(s):  
Svetlana Kuleva ◽  
Svetlana Ivanova ◽  
Andrey Karitskiy ◽  
Darya Zvyagintseva

With the use of regression and dispersion analyzes conducted in this study it was possible to identify predictive factors that significantly worsen the prognosis of Hodgkin’s lymphoma in adolescents however constructed regression equations did not pass the quality assessment of the models, which did not allow them to be used for the construction of point and interval predictions. In a cohort of patients enrolled in the study a risk-adapted treatment program based on the risk group for stratification was conducted. Negative aspects of the results of our study could be related to the already selected volume of the program for these patients. In turn our analysis proves the validity of the selection of therapeutic loads (a number of cycles of polychemotherapy, doses of radiation therapy) depending on the risk group, into which the adolescent is stratified.


2021 ◽  
Vol 40 (4) ◽  
pp. 8477-8484
Author(s):  
Chengke Zhu ◽  
Junshan Wang

With the development of technology and artificial intelligence(AI), financial leasing is used frequently in China’s equipment manufacturing industries, especially after 2008, which attracts our attention. This paper focuses on the problem. A theoretical model is provided in the paper to explain the motivation that why financial leasing is used in equipment manufacturing industries. In this paper, we employ multi-level fuzzy linear regression model to analyze data of manufacturing equipment industry of China in order to discover impact between sales revenue and financial leasing. We also discover credit sale forecasting using this model. We discover that economic leasing has a constructive important effect on sales revenue in total samples, which is consistent with the theoretical framework. However, the results are different in sub-industries, which shows that economic leasing has a constructive and important effect on sales profits in some sub-industries, but some of them are not. Furthermore, we also find that asset characteristics has a substantial effect on financial leasing decision. The outcome demonstrates that the more precise the asset, the easier it can be leased.


2020 ◽  
Vol 1006 ◽  
pp. 93-100
Author(s):  
Vadym Nizhnyk ◽  
Yurii Feshchuk ◽  
Volodymyr Borovykov

Based on analysis of appropriate literary sources we established that estimation of fire separation distances was based of two criteria: heat flux and temperature. We proposed to use “ignition temperature of materials” as principal criterion when determining fire separation distances between adjacent construction facilities. Based on the results derived while performing complete factorial we created mathematical model to describe trend of changing fire separation distances depending on caloric power of fire load (Q), openings factor of the external enclosing structures (k) and duration of irradiation (t); moreover, its adequacy was confirmed. Based on linear regression equations we substantiated calculation and tabular method for the determination of fire separation distances for a facility being irradiated which contains combustible or otherwise non-combustible façade and a facility where liquid oil products turn. We developed and proposed general methodology for estimation of fire separation distances between construction facilities by calculation.


2011 ◽  
Vol 3 (2) ◽  
Author(s):  
José Roberto De Souza Francisco ◽  
Aline Rabelo Assis ◽  
Hudson Fernandes Amaral ◽  
Luiz Alberto Bertucci

Um dos assuntos mais preocupantes para a administração das organizações é a questão da liquidez, na qual está associada ao risco e a rentabilidade do negócio. Neste sentido uma pergunta se coloca: Qual a relação entre o fluxo de caixa operacional e a liquidez da empresa? O objetivo deste artigo é verificar a relação entre a movimentação do fluxo de caixa operacional e os indicadores de liquidez com o intuito de verificar se existe uma maior eficiência na atividade de fluxo de caixa operacional corresponde à eficácia no desempenho dos índices de liquidez da empresas. Sabendo-se que a matéria-prima dos bancos é o recurso financeiro, este artigo procura pesquisar a movimentação do fluxo de caixa operacional em relação aos indicadores de liquidez da empresa. Utilizou-se a correlação entre o fluxo de caixa operacional e os indicadores de liquidez, em seguida a regressão linear para verificar a referência que os índices de liquidez exercem sofre o fluxo de caixa operacional. Conclui-se que existe pouca intensidade de relacionamento entre as variáveis fluxo de caixa operacional e índices de liquidez das instituições financeiras do setor bancos listadas na BOVESPA, constantes da Governança Corporativa, no período de 2008 e 2009.


2011 ◽  
Vol 7 (1) ◽  
pp. 39
Author(s):  
Serly C ◽  
Astuti Yuli Setyani

The purpose of this study was to examine the effect of changes in thecomponents of cash flows (operating cash flow changes, investment cashflow changes , cash flow funding changes), changes in gross profit,and change the size of the company toward expected return stock ofmanufacturing companies which go public in Indonesia Stock Exchange. The number of companies studied as many as 84 companies listed in Indonesia Stock Exchange with the observation period from 2004 to 2008. The technique used in the data analysis is the technique of multiple linear regression. Results of the study showed that only cash flow operations changes ,investment cash flow changes and gross margin changes that showed significantly influence against expected return stockKata kunci: expected return, size, arus kas operasi, arus kas investasi, laba kotor


2019 ◽  
Author(s):  
Rahima Yahdi ◽  
Aminar Sutra Dewi

Automotive companies suffered a loss due to a decrease in sales caused by high taxes and the proliferation of manufacturing components.The purpose of this study is to determine the effect of capital structure on value of company, Company size on value of company and profitability on value of company of IDX period 2012-2016, with 6 companies using purposive sampling method. Method of analysis used was multiple linear regression analysis.The result of the research shows that the capital structure do not have positive and significant influence to company value, and company size do not have positive and significant influence to company value while profitability has an effect on company value. This shows that high profitability influences company value in the eyes of investors.


2019 ◽  
Vol 11 (02) ◽  
pp. 31-47
Author(s):  
Sopi Sopi ◽  
Zumrotun Nafi'ah

Education, motivation and compensation are important things that can improve performance. This study aims to explain whether there is an influence of education, motivation and compensation on employee performance. So that through the results of this study it is expected to be a reference for leaders in managing the organization. In this study there are three independent variables namely education, motivation and compensation and one dependent variable is employee performance. At present it is in the era of industrial revolution 4.0, which is marked by; big data / giant data, internet of think, labor knowledge, and long life education. Since the beginning of the life of mankind to an infinite period, it is largely determined by the mastery of science and technology. Science and technology can not be separated from the progress of education level. Education is the base of all changes both individually, as well as countries. Employee performance is determined by the education that is owned, as high as education, the higher the performance and vice versa. The population in this study are BRI CAB employees, SEMARANG A-YANI, 60 people and all of them are sampled. The results of the analysis using SPSS 23 program statistical tools obtained multiple linear regression equation Y = 0.505 X1 + 0.175 X2 + 0.408 X3 The results of multiple linear regression equations show that there is a positive and significant influence between education on employee performance at BRI CAB. A YANI SEMARANG (t count test 6.314> t table 0.05), motivation towards employee performance at BRI CAB. A YANI SEMARANG (tcount 2,160> t table 0,05), and compensation for employee performance at BRI CAB. A YANI SEMARANG (t test 5.108> ttable 0.05). While together (simultaneously) the influence of education, motivation and compensation has an effect on and significant on the performance of employees at BRI CAB. A YANI SEMARANG (count = 44,692> ftabel = 0.05). The influence of the two research variables is very strong with a correlation value of 69.0% for employee performance at BRI CAB. A YANI SEMARANG is influenced by the motivation and compensation education of the remaining 31.0% of the employees' performance at BRI CAB. A YANI SEMARANG is influenced by other variables that affect employee performance.


2019 ◽  
Vol 9 (1) ◽  
pp. 99
Author(s):  
Ardhia Prameswari Regita Cahyani ◽  
Carolyn Lukita Sembiring

Investment is a delay in consumption now to be allocated to productive assets which are expected to generate profits in the future, which is called stocks return.  Mining company in Indonesia is an attractive sector to invest in stocks because from a geographical perspective, Indonesia is an archipelago structure that contains mining products. There are risks that will be experienced by investors when investing, namely systematic risk and unsystematic risk. Unsystematic risk can be avoided because related to management decisions. Knowing and analyzing the effect of debt policy, firm value, company size, investment cash flow on stock returns on mining companies listed on the Indonesian Stock Exchange. The statistical method used in this study is multiple regression analysis. The sample in this study is a mining company that has go public and published audited financial statements 2013-2017 with 84 data processed consisting of 28 companies each year. The results of hypothesis testing can be concluded that debt policy and firm value have significant effect on stock returns while firm size and investment cash flow does not have significant effect on stock returns. Investor will be interested in investing in companies with good financial performance rather than bad financial performance.


2020 ◽  
Vol 9 (2) ◽  
pp. 121
Author(s):  
Sri Indira Hartawati ◽  
Meutia A Sahur

<p><em>This research was conducted at the Department of Education, Youth and Sports of Majene Regency with the title The Effect of Work Environment and Compensation on Employee Performance. The formulation of the problem used by researchers is How the influence of the Work Environment on Employee Performance at the Education and Youth Sports Office of Majene Regency, How the influence of Compensation on Employee Performance at the Education and Youth Sports Office of Majene Regency, which variables have more influence on Employee Performance at the Education and Youth Office Majene District Sports. The research method, namely the population and sample used in this study were all employees of the Department of Education and Youth Sports of Majene Regency, which amounted to about 50 people, while the analysis method used the Validity Test, Reliability Test, Multiple Linear Regression Analysis This analysis was used to determine how much influence it had. independent variables, namely: compensation (X1), and work environment (X2) on the dependent variable, namely Employee Performance (Y). Multiple linear regression equations, Partial Significance Test (t test) and Simultaneous Test (F test). The results obtained from this study are the work environment has a significant effect on employee performance at the Department of Education and Youth Sports of Majene Regency, compensation has an effect on employee performance at the Education and Youth Sports Office of Majene Regency. and the work environment has a more dominant influence on employee performance at the Department of Education and Youth Sport, Majene Regency.</em></p><p><strong><em>Keywords: </em></strong><em>Work Environment, Compensation, Employee Performance</em></p>


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