A Comparative Analysis of Amazon,Microsoft,and Apple’s Stock Investment Value

This paper provides a comparative analysis of the stock investment value of Amazon,Microsoft,and Apple,three global companies that investors may consider when investing in stocks.The author analyzes each company’s business diversity,financial situation,and industry competition.Amazon is a leading e-commerce company with strong domestic and international competitors in the field of e-commerce and cloud computing.Microsoft is a stable company with a dominant position in the personal computer operating system market and a growing market share in the field of cloud computing.Apple has a diverse product line,including hardware and software products,and faces competition from many competitors,but maintains its competitiveness in the market by investing in technological innovation.The paper concludes that the stock market is full of opportunities and challenges.And investors need to have a certain risk awareness and long-term investment vision.The analysis provided in this paper can help different investors select stocks that suit their preferences and investment objectives.The paper uses data from Yahoo Finance and company websites to provide an overview of each company’s performance,net sales,and stock prices compare the calculation results,and then select the stocks that investors with different preferences prefer.

Profitability Prediction Model for NPD Projects Under RisK

Only a few successful new product development （NPD） projects are continuously supported by the firm when they are expected to assure profitability in the market. The profitability of a project is measured as profit ratio （PR）, the profit is divided by the cost. The profit figure is changed depending on either internal risks or uncertainties occurring externally. More risks require higher response costs to them and uncontrollable uncertainties affect NPD projects either positively or negatively. In this study, a PR model is developed to predict the profitability of a project at a given time. The model minimizes the response cost computed under two extreme response strategies, such as ＂Avoid＂ and ＂Acceptance＂ for the internal threats. Also, the model reflects the sales volume changes due to external uncertainties. The linear programming （LP） method determines the optimal probability of the response strategy under three scenarios of defining the relationship between risk avoidance and risk acceptance. It can be utilized to make a GO/NOGO decision on the project based on the prediction results at any gate of the NPD process. The solving procedure is provided to apply the developed model for real cases.

The Analysis of Effectiveness of Cost Control Strategy on the Profitability of Coca-Cola Company From Year 2015 to 2017

This paper is aiming to evaluate the effect of cost control strategy on the profitability of Coca-Cola Company from year 2015 to 2017 by using the ratio analysis and offer essential recommendations for the company.This paper is divided into three parts.First part is to introduce the current business operation activities and basic background information.This paper adopts desk research as data collection method.The major sources of information are the annual report of Coca-Cola Company,the database of World Health Organisation and other scholastic websites such as Wan Fang Database.Second,financial statements analysis and profitability analysis.This part contains three data analysis methods that are horizontal analysis and ratio analysis.Third part is the conclusion which is from year 2015 to 2017,that Coca-Cola Company has strengthened its profitability through cost control strategy but there are fatal hazards in the profitability of Coca-Cola Company that is the worse utilization of its assets to generate profit and dispute with IRS.The recommendations are also provided based on the conclusion which could be referenced by other companies to some extent.

The evolution and determinants of Chinese property insurance companies’profitability:A DEA-based perspective

The property insurance industry grows fast in China and it is necessary to further investigate the profitability of the Chinese property insurance industry.This study investigates the evolution and determinants of the profitability of 53 Chinese property insurers during the year 2013-2017.Profitability is measured by profit ratio efficiency by data envelopment analysis(DEA)methodology and a profit ratio change index is applied to compare the performance of these insurers over different periods.Tobit regression models are used to investigate several influencing factors of profitability.The empirical results show the importance of proper arrangement of costs and revenues for an insurer and help to better understand the effect of firm size,age,and product specification on profitability.Some policy implications and suggestions are also proposed.