scholarly journals Albemarle reports 3Q 2021 sales growth of 11% and increases guidance: Key figures and catalysts

2022 ◽  
Vol 2022 (1) ◽  
pp. 3
Keyword(s):  
2020 ◽  
Author(s):  
Jose Maria Barrero

This paper studies how biases in managerial beliefs affect managerial decisions, firm performance, and the macroeconomy. Using a new survey of US managers I establish three facts. (1) Managers are not over-optimistic: sales growth forecasts on average do not exceed realizations. (2) Managers are overprecise (overconfident): they underestimate future sales growth volatility. (3) Managers overextrapolate: their forecasts are too optimistic after positive shocks and too pessimistic after negative shocks. To quantify the implications of these facts, I estimate a dynamic general equilibrium model in which managers of heterogeneous firms use a subjective beliefs process to make forward-looking hiring decisions. Overprecision and overextrapolation lead managers to overreact to firm-level shocks and overspend on adjustment costs, destroying 2.1 percent of the typical firm’s value. Pervasive overreaction leads to excess volatility and reallocation, lowering consumer welfare by 0.5 to 2.3 percent relative to the rational expectations equilibrium. These findings suggest overreaction may amplify asset-price and business cycle fluctuations.


2014 ◽  
Vol 36 (11) ◽  
pp. 1615-1636 ◽  
Author(s):  
Weiting Zheng ◽  
Kulwant Singh ◽  
Will Mitchell

2016 ◽  
Vol 9 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Sebastian Lazăr

AbstractThe paper investigates firm-specific determinants of firm profitability for Romanian listed companies over the 2000-2011 period within the framework of resource based view of the firm. The results show that tangibles, leverage, size and labour intensity have negative effect on firm performance, while sales growth and value added have a positive effect. The results prove robust when introducing two-way fixed effects model and industry year effects model (in order to simultaneously account for specific industry characteristics and time effects).


Author(s):  
Mohd Faizal Basri Et.al

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.


2014 ◽  
Vol 9 (1) ◽  
pp. 57-71
Author(s):  
JHvH De Wet ◽  
JH Hall

This study highlights the importance of economic profits (EVA) and their long-term effects on shareholder value (MVA). South African companies listed on the JSE were analysed and it is evident that the relative measure of internal performance (spreads) can be used to rank companies in terms of value creation. Individual companies and sectors were also placed on a financial strategy matrix, which evaluated companies according to spreads and cash management. The sales growth less the SGR percentage, was used to indicate cash management. Statistical tests (regression analysis) were done on the data to test the validity of the financial strategy matrix model. The results showed that there is a positive relationship between spreads and shareholder value, but sales growth less the sustainable growth rate does not contribute significantly to shareholder value. 


2018 ◽  
Vol 25 (2) ◽  
pp. 239-250 ◽  
Author(s):  
Dung Nguyen ◽  
Hoai Nguyen ◽  
Kien S. Nguyen

Purpose The purpose of this paper is to investigate the simultaneous relationship among ownership concentration, innovation and firm performance of the small- and medium-sized enterprises (SMEs) in Vietnam during the 2011–2015. By employing a Conditional Mixed Process (CMP) model, the findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Design/methodology/approach In this study, the authors propose the adaption of CMP model (Roodman, 2011). The nature of the first stage dependent variable – Innovation – is a binary one while the dependent variable Performance is continuous. Therefore, a model that can adapt the binary nature of the dependent variable and perform the estimation of a system of equations such as CMP model is preferred. The CMP framework is substantially that of seemingly unrelated regression, but with application in a larger scope. This approach is based on a “simulated maximum likelihood method” suggested by Geweke–Hajivassiliou–Keane algorithm. Findings By applying CMP method, this study examines the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam from 2011 to 2015. The findings indicate that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Research limitations/implications In spite of the efforts to explore the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam, the study still has some limitations which are promising further research directions. First, the SME surveys by Central Institute for Economic Management do not have much information about other types of ownership including state-owned and foreign ownership. Therefore, possible further studies with richer data sets may explore the impacts of different types of ownership on firm innovation and performance. Second, other types of innovation such as organizational innovation, marketing innovation can also be investigated in further studies in a richer data set for the case of Vietnam SMEs. Originality/value The findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. The policy implications insist on facilitating SMEs with easier access to capital via loans with preferred interest or trust loans without collateral, training programs for the labor force and SME leaders, and reduction of unnecessary administrative procedure.


2020 ◽  
Vol 109 ◽  
pp. 498-510 ◽  
Author(s):  
William Wales ◽  
Tatiana Beliaeva ◽  
Galina Shirokova ◽  
Tatiana R. Stettler ◽  
Vishal K. Gupta

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Xibin Wang ◽  
Junhao Wen ◽  
Shafiq Alam ◽  
Xiang Gao ◽  
Zhuo Jiang ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document