Research On The Value Evaluation Of Haishu House Based On EVA

The textile industry is a traditional pillar industry in our country,the important industry of the people's livelihood,in today's rapid economic and sustainable development,how to help the managers and investors to understand the intrinsic value of the enterprise,so as to make the right decisions,has very important significance.This article through to the enterprise value evaluation model is introduced and the analysis and comparison of economic value added calculation method for Heilan Home Co.Ltd to evaluate value of companies.First of all,through the analysis of four financial ratios,the Heilan Home Co.Ltd by the company's management status had certain understanding and the understanding;Second,to build economic value added valuation model,calculate the Heilan Home Co.Ltd after-tax operating profit of the companies in the past three years,the total amount of capital invested and the weighted average cost of capital,on this basis,the companies of the Heilan Home Co.Ltd predicts the future economic value added,finally confirmed the Heilan Home Co.Ltd of the company's market value added MVA.Then,by using the discounted cash flow method was carried out on the Heilan Home Co.Ltd value evaluation,for the calculation of index,involved with.EVA value evaluation model was used for the same calculation rules.Calculation result is:according to the EVA value evaluation model,the stock value of the Heilan Home Co.Ltd should be 12.74 yuan per share,and use of discounted cash flow method to calculate,the stock value of the Heilan Home Co.Ltd is per share of 13.56 yuan,both difference 0.82 yuan,the relative error is 6.04%,the calculation results are basically identical.Finally,according to the added value of economic model and discounted cash flow method to calculate the results,puts forward the ways to promote the Heilan Home Co.Ltd value and safeguard measures.For the Heilan Home Co.Ltd provide referential Suggestions to the future development of companies,for the majority of investors' investment decision-making behavior also provide certain data to support.