The Effects of Firm Size and Sales Growth Rate on Inventory Turnover Performance in the U.S. Retail Sector

2015 ◽  
pp. 25-52
Author(s):  
Vishal Gaur ◽  
Saravanan Kesavan
Keyword(s):  
Growth Rate ◽  
Firm Size ◽  
Retail Sector ◽  
Sales Growth ◽  
Inventory Turnover ◽  
The U.S

Product Diversity and Firm Performance: An Empirical Investigation

1986 ◽  
Vol 50 (3) ◽  
pp. 43-57 ◽  
Author(s):  
P. “Rajan” Varadarajan
Keyword(s):  
Growth Rate ◽  
Empirical Investigation ◽  
Sales Growth ◽  
Diversification Strategy ◽  
Return On Equity ◽  
Earnings Per Share ◽  
Total Capital ◽  
Study Performance ◽  
The U.S

This study employs categorical measures of broad spectrum diversity (BSD) and mean narrow spectrum diversity (MNSD) to classify firms into broad diversification strategy groups. The BSD and MNSD measures of firm diversity are based on SIC data pertaining to each firm's scope of activities at the two- and four-digit levels. The 10 largest firms in each of the 24 largest industries of the U.S. constitute the sample for this study. Performance differences between diversification strategy groups are examined in reference to their long-term return on equity, return on total capital, sales growth rate, and earnings per share growth rate.

scholarly journals Factors Affecting Profit Growth with Firm Size as a Moderating Variable (Study in Food and Beverage Companies Listed on the Indonesia Stock Exchange)

2020 ◽  
Vol 5 (8) ◽  
pp. 21-25
Author(s):  
Weni Rosali ◽  
Iskandar Muda ◽  
Keulana Erwin
Keyword(s):  
Firm Size ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Sales Growth ◽  
Current Ratio ◽  
Factors Affecting ◽  
Food And Beverage ◽  
Research Population ◽  
Inventory Turnover ◽  
Profit Growth

This study aimed to determine the effect of the Current Ratio, Debt to Asset Ratio, Inventory Turnover, and Sales Growth on Profit Growth with Firm Size as a moderating variable. This research population is all food & beverage companies listed on the Stock Exchange from 2009 - 2019. The sampling technique uses purposive sampling so that the selected sample is ten companies. The data analysis method in this research uses the panel data method. The results showed that: (1) Current Ratio had a negative and significant effect on Profit Growth, (2) Debt to Asset Ratio had a negative and significant impact on Profit Growth, (3) Inventory Turnover had a positive and not significant effect on Profit Growth, (4) Sales Growth has a positive and insignificant impact on Profit Growth, (5) Firm Size as a moderating variable can strengthen and significant the relationship of Debt to Asset Ratio to Profit Growth, but Firm Size is not able to moderate the effect of Current Ratio, Inventory Turnover, and Sales Growth on Profit Growth on food and beverage companies listed on the Indonesia Stock Exchange in 2009-2019

Profitability and Firm Size–Growth Relationship in Construction Companies in Malaysia From 2003 to 2010

2014 ◽  
Vol 17 (03) ◽  
pp. 1450014 ◽  
Author(s):  
Devinaga Rasiah ◽  
David Yoon Kin Tong ◽  
Peong Kwee Kim
Keyword(s):  
Growth Rate ◽  
Firm Size ◽  
Growth Process ◽  
Secondary Data ◽  
Annual Reports ◽  
Basic Study ◽  
Gibrat’S Law ◽  
Construction Companies ◽  
Gibrat's Law ◽  
Size Growth

In this study, we intended to examine empirically how a firm's profitability performance would impact its growth process and the inference for Gibrat's Law. The basic study looks at small, medium and large firms' tendency to grow when their internally generated profits are high. The sample is 124 construction companies listed from years 2003 to 2010 at BURSA Malaysia. Data used is secondary data collected from BURSA Malaysia and annual reports. The result indicated that "growth" contributed significantly to profitability in both small and medium-sized construction companies, but was not significant in large companies. Thus, hypothesis two was supported. This study supports Gibrat's Law, showing that size and growth rate are independent.

Factors Influencing Capital Structure of Shariah-Compliant Malaysian Telecommunications and Media Companies

2021 ◽  
Vol 12 (3) ◽  
pp. 582-591
Author(s):  
Mohd Faizal Basri Et.al
Keyword(s):  
Capital Structure ◽  
Firm Size ◽  
Least Square ◽  
Sales Growth ◽  
Pecking Order ◽  
Ordinary Least Square ◽  
Media Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
Equity Ratio

This paper explores the firm-specific factors,which are assets tangibility, sales growth, profitability, and firm size in ascertaining the capital structure of Shariah-compliant telecommunications and media companies in Malaysia. Panel data regression model based on ordinary least square (OLS) method was employed in the research. The sample of research comprisesof nine Shariah-compliant companies listed in telecommunications and media sector in the Main Market and Ace Market ofBursa Malaysiafrom 2009to 2018, with a 90firms-years of total number of observations. The dependent variable selected was debt to equity ratio. Meanwhile, the independent variables chosen were assets tangibility, sales growth, profitability, and firm size. Thefindings revealed thatassets tangibilityhas a positive relationship, while profitability is negatively related to the dependent variable. Conversely, sales growth and firm size were insignificant to debt to equity ratio.The pecking order and trade-off theories of capital structure is very much applicable to the Shariah-compliant telecommunications and media in Malaysia sinceassets tangibility and profitability have significant relationship with leverage.

scholarly journals Sales Growth Rate Forecasting Using Improved PSO and SVM

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Xibin Wang ◽  
Junhao Wen ◽  
Shafiq Alam ◽  
Xiang Gao ◽  
Zhuo Jiang ◽  
...  
Keyword(s):  
Growth Rate ◽  
Decisive Role ◽  
Convergence Speed ◽  
Classification Model ◽  
Support Vector ◽  
Local Optimum ◽  
Sales Growth ◽  
Local Optima ◽  
Proposed Model ◽  
Forecasting Performance

Accurate forecast of the sales growth rate plays a decisive role in determining the amount of advertising investment. In this study, we present a preclassification and later regression based method optimized by improved particle swarm optimization (IPSO) for sales growth rate forecasting. We use support vector machine (SVM) as a classification model. The nonlinear relationship in sales growth rate forecasting is efficiently represented by SVM, while IPSO is optimizing the training parameters of SVM. IPSO addresses issues of traditional PSO, such as relapsing into local optimum, slow convergence speed, and low convergence precision in the later evolution. We performed two experiments; firstly, three classic benchmark functions are used to verify the validity of the IPSO algorithm against PSO. Having shown IPSO outperform PSO in convergence speed, precision, and escaping local optima, in our second experiment, we apply IPSO to the proposed model. The sales growth rate forecasting cases are used to testify the forecasting performance of proposed model. According to the requirements and industry knowledge, the sample data was first classified to obtain types of the test samples. Next, the values of the test samples were forecast using the SVM regression algorithm. The experimental results demonstrate that the proposed model has good forecasting performance.

scholarly journals A Changed Taxonomy Of Retail Financial Ratios

2017 ◽  
Vol 33 (6) ◽  
pp. 1069-1080
Author(s):  
Thomas L. Zeller ◽  
John Kostolansky ◽  
Michail Bozoudis
Keyword(s):  
Cash Flow ◽  
Financial Reporting ◽  
Financial Ratios ◽  
Retail Sector ◽  
Business Practices ◽  
Return On Equity ◽  
Financial Reporting Standards ◽  
Five Factors ◽  
Inventory Turnover ◽  
Return On Sales

Thirty-five years ago researchers established a taxonomy of retail financial ratios. During the intervening period, extensive changes in retailing practices have been accompanied by equally extensive changes in financial reporting, marketing and management methods. Financial reporting standards have adapted to reflect these new domestic and international business practices, while technological innovation has produced continually evolving hardware and software advancements. This study investigates the extent to which the taxonomy of retail financial ratios has changed and, if justified, will establish a revised taxonomy. It extends prior work in two ways. First, it utilizes advanced statistical methodologies and computing technologies to provide a more discriminating investigation than previous researchers were capable of conducting. Second, this study investigates the current taxonomy of retail industry financial ratios as well as its stability over a ten-year period. Our findings identify a shift in the retail sector taxonomy of financial ratios. Empirical analysis points to a taxonomy consisting of five factors: capital intensiveness, cash position, inventory turnover, return on assets-return on sales, and return on equity-leverage. Contrary to expectations, a separate operating cash flow factor was not identified, despite the emergence of a mandatory cash flow statement during the intervening period. These findings provide an empirical basis to formulate testable hypotheses regarding the predictive and descriptive utility of retail financial ratios.

scholarly journals KETERKAITAN PERTUMBUHAN PENJUALAN PERPUTARAN PERSEDIAAN, PERPUTARAN PIUTANG, DAN PERPUTARAN KAS TERHADAP PROFITABILITAS PERUSAHAAN LQ 45 DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (2) ◽  
pp. 781
Author(s):  
Sugiyarmasto Sugiyarmasto ◽  
Erlina Setyaningrum
Keyword(s):  
Stock Exchange ◽  
Financial Statements ◽  
Sales Growth ◽  
Analysis Method ◽  
Independent Variables ◽  
Dependent Variables ◽  
Regression Test ◽  
Inventory Turnover ◽  
Relationship Of ◽  
The Relationship

The research aims to determine and provide empirical evidence of , sales growth inventory turnover, receivables Turnover, and significant cash turnover on profitability in LQ 45 Company on Indonesia Stock Exchange year 2016-2018. The samples in this study used purposive sampling so obtained 21 company samples from 45 LQ 45 company population listed on the Indonesia Stock Exchange, with 63 observations of financial statements (21 companies x 3 years of financial statements warning). Dependent variables in this study, namely profitability. While independent variables in this study, sales growth namely inventory turnover, turnover receivables, , cash turnover. The data analysis method used is a type of multiple regression test to test the relationship of independent variables with the dependents The results of the research hypothesis testing proved that the turnover of receivables, and cash turnover significantly positively affect profitability. And sales growth has a negative and significant effect on profitability. While inventory turnover has a negative and insignificant effect on profitability in LQ 45 company in the Indonesia Keywords: sales growth,inventory turnover, turnover receivable, cash turnover,profitability

Volatility of Financial Metrics: Important Data for Contingent Consideration Valuations

2021 ◽  
Vol 40 (3) ◽  
pp. 80-96
Author(s):  
Vicentiu Covrig ◽  
Daniel McConaughy ◽  
Adam Newman ◽  
Pavan Kumar Nadiminti ◽  
Mary Ann K. Travers
Keyword(s):  
Growth Rate ◽  
Statistical Analysis ◽  
Firm Size ◽  
Common Belief ◽  
Net Income ◽  
Important Data ◽  
Business Valuation ◽  
Financial Metrics ◽  
Detailed Statistical Analysis ◽  
Selection Of

This article presents the first detailed statistical analysis of the volatilities of various commonly encountered financial metrics used in contingent consideration (and earn-out) agreements. The valuation of contingent consideration using an option-based methodology and non-equity volatilities is becoming more common in business valuation. We provide clear evidence that the volatility of five financial metrics—revenue; earnings before interest, taxes, depreciation, and amortization (EBITDA); EBIT, net income, and total assets—is strongly, negatively related to firm size and profitability. However, contrary to common belief, the volatility of these metrics is not related to a firm's financial leverage. We also calculated the volatilities using four different methodologies that are employed in practice. Although no theory guides the selection of methodologies, based upon our work, we have found that the year-over-year growth rate, using a quarterly frequency, provides the most reasonable results.

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