scholarly journals What Drives Growth: Analyzing Quantitative Factors and their Variation across Sectors

2021 ◽  
Vol 23 ◽  
Author(s):  
Daniel J. Sweeney
Keyword(s):  
Growth Rate ◽  
Cash Flow ◽  
Corporate Investment ◽  
Quantitative Model ◽  
Growth Potential ◽  
Market Valuation ◽  
Operating Efficiency ◽  
Significant Variable ◽  
Value Investing

Value investing is often considered the antithesis of growth investing. However, core to any value investing strategy is an intrinsic valuation, typically calculated using a DCF analysis. One of the most sensitive DCF assumptions is the estimation of a company’s long-term cash flow growth rate. Thus, understanding a company’s growth potential is a vital component in any value thesis. This paper attempts to create a quantitative model to help predict a company’s long-term cash flow growth rate (using EBITDA growth as a proxy for cash flow growth) and to find the strongest indicators for a company’s growth potential by sector. To do so, this study analyzes variables pertaining to operating efficiency, risk metrics, market valuation, corporate investment levels, and the competitive landscape for S&P 500 constituent companies. While all categories contributed at least one statistically significant variable, the market valuation and corporate investment level categories had the highest volume of significant variables. The results show that widely used quantitative metrics can help predict a meaningful portion of a company’s five-year EBITDA growth rate when analyzed on a sector-by-sector basis. Furthermore, both the types of variables and predictive strength of the model varies widely across sectors. In practice, analysts should prioritize different ratios, metrics, and quantitative variables based on the target company’s sector when estimating the trajectory of a company’s long-term growth rate.

Forest growth and the effects of energy production: a method for detecting trends in the growth potential of trees

1984 ◽  
Vol 14 (3) ◽  
pp. 437-440 ◽  
Author(s):  
P. Hari ◽  
H. Arovaara ◽  
T. Raunemaa ◽  
A. Hautojärvi
Keyword(s):  
Growth Rate ◽  
Radial Growth ◽  
Energy Production ◽  
Forest Growth ◽  
Growth Potential ◽  
Component Model ◽  
Tree Age ◽  
Long Term Trends ◽  
Tree Growth Rate

An increase in the CO2 content of the atmosphere and in the acidity of rain has been detected in large regions of the northern hemisphere. Both these factors can affect the productivity of trees. A three-component model has been employed for the detection of possible trends in the growth potential of trees. The components are (i) the growth intensity associated with tree age, (ii) the effect of weather, and (iii) the effect of possible long-term trends on the radial growth. The model was tested with a limited set of data from conservation stands in southern and central Finland. Preliminary results indicate that an increase in tree growth rate since the beginning of the 20th century has occurred.

scholarly journals Investment Opportunity in Online Survey Industry under COVID-19

2020 ◽  
Vol 218 ◽  
pp. 01023
Author(s):  
Yinuo Cheng
Keyword(s):  
Growth Rate ◽  
Online Education ◽  
Stock Returns ◽  
Online Survey ◽  
Growth Potential ◽  
Investment Strategies ◽  
Operation Condition ◽  
The World ◽  
Profit Growth

The COVID-19 outbreak left the world an island shrouded in repression, causing great losses to the world economy and blowing numerous investors in the financial market. However, at the same time, emerging online industries also bring them new investment opportunities. This article would analyze the operation condition and forecast the growth potential of three enterprises, Zoom Video Inc., Shanghai Yaoji Technology Co., Ltd, and 51Talk, which specialize in Online Entertainment, Online Education, and Office Online. Through analyzing operating profit growth rate and net profit growth rate of Zoom Video Inc., classifying Shanghai Yaoji Technology Co., Ltd in terms of ROIC and increase rate of main business revenue, and predicting stock returns of 51 talk using Baidu Index, short-term and long-term investment strategies can be provided. With the above evidence, it is proposed that Shanghai Yaoji Technology Co., Ltd is worthy to invest in the short run, while Zoom Video Inc. and 51Talk have larger profitability in the long term. Besides, the future of those online industries is predicted.

IPO Offering Size and Analyst Forecasts

2016 ◽  
Vol 19 (03) ◽  
pp. 1650020 ◽  
Author(s):  
Chuntai Jin ◽  
Tianze Li ◽  
Steven Xiaofan Zheng
Keyword(s):  
Growth Rate ◽  
Cash Flow ◽  
Growth Rates ◽  
Analyst Forecasts ◽  
Free Cash Flow ◽  
Negative Relation ◽  
Flow Effect ◽  
Earnings Growth ◽  
Offering Size

In this paper, we examine how analysts react to IPO percentage offering size. We find that analysts predict lower long-term earnings growth rates for IPOs with larger percentage offering size. The sizes of both primary and secondary offering are negatively related to long-term growth rate forecasts. We find evidence that the free cash flow effect may be related to the negative relation between primary offering size and growth forecast.

scholarly journals Investment Opportunity in Online Survey Industry under COVID-19

2020 ◽  
Vol 3 (5) ◽  
Author(s):  
Yinuo Cheng
Keyword(s):  
Growth Rate ◽  
Online Education ◽  
Stock Returns ◽  
Online Survey ◽  
Growth Potential ◽  
Investment Strategies ◽  
Operation Condition ◽  
The World ◽  
Profit Growth

The COVID-19 outbreak left the world an island shrouded in repression, causing great losses to the world economy and blowing numerous investors in the financial market. However, at the same time, emerging online industries also bring them new investment opportunities. This article would analyze the operation condition and forecast the growth potential of three enterprises, Zoom Video Inc., Shanghai Yaoji Technology Co., Ltd, and 51Talk, which specialize in Online Entertainment, Online Education, and Office Online. Through analyzing operating profit growth rate and net profit growth rate of Zoom Video Inc., classifying Shanghai Yaoji Technology Co., Ltd in terms of ROIC and increase rate of main business revenue, and predicting stock returns of 51 talk using Baidu Index, short-term and long-term investment strategies can be provided. With the above evidence, it is proposed that Shanghai Yaoji Technology Co., Ltd is worthy to invest in the short run, while Zoom Video Inc. and 51Talk have larger profitability in the long term. Besides, the future of those online industries is predicted.

CURRENT STATE AND DEVELOPMENT PERSPECTIVES OF THE CASPIAN SPRAT FISHERIES

2018 ◽  
pp. 69-75
Author(s):  
Tatiana Vasilievna Pomogaeva ◽  
Aliya Ahmetovna Aseinova ◽  
Yuriy Aleksandrovich Paritskiy ◽  
Vjacheslav Petrovich Razinkov
Keyword(s):  
Food Item ◽  
Growth Potential ◽  
North West ◽  
Marine Fishery ◽  
The North ◽  
Current State ◽  
West Part ◽  
Eggs And Larvae ◽  
Intensive Growth

The article presents annual statistical data of the Caspian Research Institute of Fishery. There has been kept track of the long term dynamics of the stocks of three species of Caspian sprat (anchovy, big-eyed kilka, sprat) and investigated a process of substituting a food item of sprats Eurytemora grimmi to a small-celled copepod species Acartia tonsa Dana. According to the research results, there has been determined growth potential of stocks of each species. Ctenophoran-Mnemiopsis has an adverse effect on sprat population by eating fish eggs and larvae. Ctenophoram - Mnemiopsis is a nutritional competitor to the full-grown fishes. The article gives recommendations on reclamation of stocks of the most perspective species - common sprat, whose biological characteristics helped not to suffer during Ctenophoram outburst and to increase its population during change of the main food item. Hydroacoustic survey data prove the intensive growth of common sprat biomass in the north-west part of the Middle Caspian. According to the results of the research it may be concluded that to realize the volumes of recommended sprat catch it is necessary to organize the marine fishery of common sprat at the Russian Middle Caspian shelf.

INTRAUTERINE GROWTH RETARDATION - A REVIEW ARTICLE

2018 ◽  
pp. 184-195
Author(s):  
Minh Son Pham ◽  
Vu Quoc Huy Nguyen ◽  
Dinh Vinh Tran
Keyword(s):  
Fetal Growth ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Fetal Growth Restriction ◽  
Growth Restriction ◽  
Growth Potential ◽  
National Guidelines ◽  
Intrauterine Growth ◽  
No Gold Standard

Small for gestational age (SGA) and fetal growth restriction (FGR) is difficult to define exactly. In this pregnancy condition, the fetus does not reach its biological growth potential as a consequence of impaired placental function, which may be because of a variety of factors. Fetuses with FGR are at risk for perinatal morbidity and mortality, and poor long-term health outcomes, such as impaired neurological and cognitive development, and cardiovascular and endocrine diseases in adulthood. At present no gold standard for the diagnosis of SGA/FGR exists. The first aim of this review is to: summarize areas of consensus and controversy between recently published national guidelines on small for gestational age or fetal growth restriction; highlight any recent evidence that should be incorporated into existing guidelines. Another aim to summary a number of interventions which are being developed or coming through to clinical trial in an attempt to improve fetal growth in placental insufficiency. Key words: fetal growth restriction (FGR), Small for gestational age (SGA)

A neural computing-based cash price prediction using multi-layer perceptron (MLP) and feature selection for health economics

2019 ◽  
Vol 14 ◽  
Author(s):  
Zinat Ansari
Keyword(s):  
Feature Selection ◽  
Health Economics ◽  
Cash Flow ◽  
Multi Layer Perceptron ◽  
Asset Sales ◽  
Fixed Asset ◽  
Academic Fields ◽  
Investment Returns ◽  
Short And Long Term

Background: The present study proceeds to incorporate feature selection as a means for selecting the most relevant features affecting the prediction of cash prices in Iran in terms of health economics. Health economics are between academic fields that can aid in ameliorating conditions so as to perform better decisions in regards to the economy such as determining cash prices. Methods: Accordingly, a series of search algorithms, namely the Best-First, Greedy-Stepwise, and Ranker methods, are deployed in order to extract the most relevant features from among a 500 data samples. The validity of the methods was evaluated via the LMT procedure. The corresponding dataset used for this study constitutes a variety of features including net cash flow, dividends, revenue from short and long-term deposits, cash flow from investment returns, income tax, fixed asset purchases, fixed asset sales, long-term investment purchases, long-term investment sales, total cash flow from investment activities, financial facilities, and repayment of financial facilities. Results: The results were indicative of the superiority of the Ranker model using the RelieF-Attribute-Eval tool in Weka over the remaining classification methods. Ergo, the LMT approach could be employed to remove data redundancies and thereby accelerate the estimation process, while saving time and money. The results of the multi-layer perceptron (MLP) further confirmed the high accuracy of the proposed method in estimating cash prices. Conclusions: The present research attempted to reduce the volume of data required for predicting end cash by means of employing a feature selection so as to save both precious money and time.

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