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Signal Analysis Of Companies With Continuous High Growth Performance

Posted on:2017-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhangFull Text:PDF
GTID:2439330590489274Subject:Accounting
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Since opening in 1991,the Chinese stock market is like a microcosm of China's economic development,continue to create a miracle.Over the years,China's stock market has formed a characteristic development road of China's economic development compatible with its irresistible charm to attract many investors to participate.But there is no doubt that the Chinese stock market there are many problems,there is an error function-oriented stocks,investors often do not consider the long-term value investing,and switch the subject of short-term speculation,which led to their performance of listed companies in the stock price movements decoupling investors value of consideration is not a business enterprise but rather whether there is speculation that information.This phenomenon is gradually improving,from the world's stock market,investing in stocks is more dependent on the value of the investment,Buffett once said: "Do not decide whether to buy the stock price,but on the value of the enterprise." This is a mature financial market equities objective portrayal.As a listed company,its performance is the most important component of value,outstanding performance of listed companies should have a high investment value,while its share price should also be proportional to the reaction.Based on the market,in Shenzhen and GEM stocks,the first selection results from continuous high growth for five consecutive years of all stocks ie net profit growth rate remained above 30%,EPS of listed companies is not less than zero,this method of selection of a total of 72 listed companies meet the above criteria as a sample;while randomly selected listed company does not meet the performance of 72 consecutive high growth and also as a sample from which the selection of performance for the high-growth enterprises as a sample.The continuous high growth performance of 72 listed companies were randomly divided into two groups,one into the training group,another group into the test group;Similarly,the 72 non-consecutive high growth performance of listed companies were randomly divided into two groups,one groups into training group,another group into the test group,thus we get with 72 companies and training group with 72 companies test group.Training group as a sample of data regression,regression test set for testing the accuracy of the sample data.This article will use two,respectively,into the regression analysis,will affect the performance indicators were pretreated regression equation to obtain a continuous high growth performance prediction model with empirical research comparing the resulting prediction accuracy of the evaluation model.Through this study can be obtained at the conclusion: First,the performance of listed companies is a continuous high growth can be predicted,the paper will collect performance continuous high growth listed 21 financial and non-financial indicators of the company,the final selection of the five indicators as should variables,multivariate linear regression model and Logistic regression models were calculated regression equation can predict the likelihood of future performance of listed companies of high growth.Second,Logistic regression model is more suitable for continuous high growth enterprise performance prediction,performance in predicting whether a company will have continuous high growth,Logistic model has higher prediction accuracy.The model is built,it will give investors and institutions looking for value stocks based on,but also can be used as a securities company's investment strategy tool.Business owners,small and medium investors,creditors and government regulators have a more scientific,operational performance prediction methods.
Keywords/Search Tags:Performance prediction, performance of continuous high growth, multivariate linear regression, Logistic regression model
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