Study On The Stock Investment Strategy Based On The Background Of Internet Finance

In the age of Internet day's society,data start the explosive presented before the public,big data technologies in all areas of social revolution has come,the demand for data,the computer and network technology has penetrated into all aspects of financial markets.As the representative of modern information technology,especially mobile payments,search engines,social networks and large data computation,internet financial will have a fundamental impact on human financial model,the traditional stock investment industry a big impact.And with the continuous development of the stock market,a growing number of financial and investment institutions started to use big data method to engage in stock investment analysis and decision-making transactions.Get the convenience of institutions data makes big data technologies rapidly penetrated into all fields of investment securities,such as artificial intelligence technology,network public opinion analysis,heat a large data stock and other news.How to apply big data to quantitative investment strategies to achieve automation of stock trading and stable income to become the most important issue in stock finance companies development process need to think deeply and to be solved.Based on the internet finance as a starting point,this paper focuses on stock investment strategy,the yield on the balance of Yu Ebao and portfolio investment.The study used the method of literature analysis,empirical analysis and case analysis,get a systematic empirical analysis of the current emerging internet financial products and stock quantization investment strategy.The study finally gives a combination of both investment risk control model analysis and research prospects.The major contributions of this paper are listed in three aspects.(1)For research of big data in stock investment strategy,first get the institution hot stock-picking strategy,crawling through May-June,2015 hibor stock research report recommended further data obtained combined scoring to a basket of stocks.This paper found that the combination of stock has led the defensive effect to shanghai composite index,and great benefits,risk control.Through the heat-share strategy back-test shows,counting from the beginning of 2014,crawled half a month research report data.Elected institution recommend a combination of the top ten stocks,buy and hold for 2 months and then sell,and loop over operations,found the winning probability is 41.67%through strategy back-test.Although not outperform in a bull market,but the strategy gain annual earnings are more than 20%,and better performance in a bear market for long-term operation of large-scale capital investment.Then to stock picking strategy,SHARPE consider two cases.The strategy can outperform the stock market before crash,but has poor performance of when crash,the overall strategy winning 66.7%.Description of the stock-picking strategy in the short term(1-3 months)is the best,long-term effect is not significant,which may be the presence of A-share price reversal and price inertia effect.Sharpe high index of selected stocks study also found that the GEM time shares and mostly short-term retracement and has great potential outbreak risk is small.To RoMad stock-picking strategy,the paper calculation A-share gains during the study unit back-test ratio.Divided into three categories select RoMad highest recommended stocks,found that large cap blue chips stocks have minimize risk,and moderate risk stocks small plates,GEM stocks the greatest risk.So that investors can according to their risk preferences,select each sector performed better stock;Finally through text mining method,we separation the China A shares industries and geographical and province sector.Then according to the relevant section of Sina(or Baidu)search volume ranked the number,get the corresponding plate heat and order,and to achieve real-time update.This chapter select the hot plate to make decision-making reference for investors;(2)It is found that Yu Ebao yield influence data is not normally distributed,and the original data is not stable and continue to do to give first difference stationary by empirical analysis.Then return Yu Ebao yield original sequence with EMD,and sequence decomposed according to different frequencies regrouping to obtain a high frequency,low frequency and residuals three new sequence.And the characteristics of each genomic sequence analysis,found Yu Ebao yield are mainly due to the long-term trend of the domestic market funds face the decision,the financial sector appeared money shortage event and monetary policy adjustments and other major events as well as short-term market fluctuations normal.Then,the Yu Ebao yield,high frequency,low frequency and residuals data of EMD decomposition,were done ARMA short-term prediction.Finally,the three sets of data to predict new forecast recombination sequences,avoid jerky bring predictive error data,can provide more help for the trend of internet finance products.Prediction conclusion is Yu Ebao yield can be maintained at the normal level of about 3%.Taking the Yu Ebao as an example,analysis the influence factors of the internet financial products is a good choice for the expansion of the stock investment strategy;(3)Under risk control of stock investment strategy based on the background of Internet Finance,this paper summarizes the five risk categories,namely credit risk,impact cost risk,operational risk,systemic risk and other risks.Then focus on the unknown weights and under constraint circumstances by Markowitz mean-variance model,with the Yu Ebao yield and the shanghai composite index yield data model algorithm to achieve this,from portfolio income and the efficient frontier face two latitude to control risk.On the calculation of VaR model,it gives three common calculation methods,and implement Matlab programming.Finally,the calculation formula and test methods KMV model and the risk contagion models for risky stock investment strategy selected under the control of internet financial background to do the theoretical basis and practical judgments.