Research on the Investment Value of Growth Enterprise Market Stocks in China
DOI:
https://doi.org/10.54691/bcpbm.v40i.4358Keywords:
principal component analysis; factor analysis; k-means clustering.Abstract
To study the value investment of stocks, this paper randomly selects 30 stocks from China's Growth Enterprise stock market. Based on financial statement data disclosed by listed companies, firstly select relevant sixteen indicators that can reflect the companies' financial status from four aspects of solvency, risk status, operating condition, and profitability. Then construct the stock value investment index system by using the factor analysis of the principal component method. Extract four factors and calculate the factor scores of 30 listed companies. Finally, according to the results of factor analysis, using the k-means cluster analysis method, the stocks of 30 listed companies are divided into three categories: ordinary stocks, risk stocks, and potential stocks. The results show that the mediocre stocks in the GEM make up the majority, and there are fewer high-yield, high-risk and potential stocks. Provide investment advice based on the characteristics of investors to help investors reduce investment risks and maximize returns.
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