An Empirical Study on Investment Value of Listed Real Estate Companies

The real estate industry has some characteristics such as large-scale investment, long investment cycle, high profit and high risk. In recent years, with the rapid development of the real estate market and the strengthen of the national macro-control policies, real estate plate has undergone big fluctuations. The performance of real estate stocks have became the focus of many institutional investors and shareholders. In this paper, using correlation analysis, principal component analysis, factor analysis and multiple linear regression; we establish a model to predict the current prices of listed real estate stocks, so as to help investors to seek the stock that has investment value but in low price, in this way, they not only can obtain capital gains, but also can receive dividends. At the same time, we put forward some suggestions, in order to provide the beneficial reference for the investors, operators and government regulators.