Analysis of Real Estate Industry Based on H-P Filter and Tobit Model—— cited 3,614 trading days for 15 companies

As an industry to enhance the national economy and improve people's lives, it is of great significance accurately analyze stock price real estate industry. Based on this, this paper takes 13 listed companies in Chinese as example, using H-P filtering method, OLS regression, Tobit model There are three main research results: (1) After HP analysis, long-term trend cyclical fluctuation curve prices steep, indicating that China's industry's market fluctuates greatly. (2) When making a prediction, average daily each obtained after test same core also has good empirical robustness. (3) During heterogeneity analysis price, found regression fits residential development better than other industries.