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Value Evaluation Of Giant Network Enterprises Based On Ohlson Model

Posted on:2019-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhuFull Text:PDF
GTID:2439330590978947Subject:Accounting
Abstract/Summary:PDF Full Text Request
Since the twentieth century,the arrival and outbreak of the era of big data has continuously promoted the rise and development of the Internet industry.As an emerging technology industry,mobile Internet has gradually been familiar with people in the past decade,and slowly integrates into people's life,work and business affairs.The Internet industry's new and current state of explosive growth has been relatively short,so that the valuation of the Internet industry in this field was still in a blank state a few years ago.Regardless of whether it is in theory or practice,the current Internet industry value assessment ideas and theoretical research are still weak,and there are still obvious shortcomings and shortcomings in valuation.The core idea of the Ohlson model is that there is a close relationship between the actual value of the enterprise and its accounting information.The development goal and value standard of a company is to further create value,not simply to achieve a reasonable value distribution,which is for business leaders.In terms of importance,business managers should increase their emphasis on corporate value creativity.The Ohlson valuation model integrates the relevant accounting information in the financial report of the enterprise,and increases the dependence of the enterprise value assessment results on a certain level.Therefore,this paper takes Ohlson valuation model as the starting point,combines the business operation mode and life cycle performance of Internet companies to evaluate the value of Giant Network,and provides new valuation ideas and theoretical references for Internet enterprise value assessment.This paper mainly discusses the relevant theoretical basis of value assessment and the application of Ohlson model in specific cases through six chapters.In theoretical research,firstly,the traditional value evaluation method and the application of Ohlson value evaluation model in practice are analyzed,and relevant literature review is carried out.Secondly,the traditional three evaluation models,B-S option pricing estimation model and Ohlson model theory are elaborated respectively,and the Ohlson model is compared and analyzed in the traditional evaluation method.At the same time,the DuPont analysis method was introduced to improve the Ohlson model.Finally,it analyzes the unique industry characteristics ofInternet companies,and introduces the inadequacies of Internet enterprise value assessment,and conducts in-depth research and analysis,and explains the practicality and limitations of the Ohlson model.In the case study,this paper uses the Ohlson valuation model,the P/E valuation model and the BS option pricing model to evaluate the value of Giant's network in 2013-2017,and compares the difference between the tradable stock price and the annual average closing stock price.Verify the applicability of the model.The key part of this paper is to use the Ohlson model to evaluate the value of the giant network.The more difficult part of the case analysis lies in the prediction of the future earnings of the enterprise.The key point is how to ensure the accuracy of the prediction results.In view of this,in the process of actual research and analysis,this paper chooses to use the Logistic Model in SPSS software to carry out regression analysis on the historical business income of Giant Network.The model fitting result is good,and the Logistic Model has strong applicability to Giant's network operating income forecast.Through a more comprehensive comparative analysis,it is found that the evaluation effect of the Ohlson model is more suitable for this research analysis,and the predicted results are closest to the actual situation.The Ohlson model has strong predictive ability.
Keywords/Search Tags:Enterprise value evaluation, Internet enterprise, Ohlson model
PDF Full Text Request
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