房地產(chǎn)市場(chǎng)宏觀調(diào)控政策對(duì)地產(chǎn)股價(jià)指數(shù)的影響研究
[Abstract]:The real estate industry is a policy-sensitive and capital-intensive industry. These two characteristics closely link the real estate industry, the government macro-control policy and the real estate stock market. The real estate stock market undertakes the function of raising funds and allocating resources in the real estate industry, and it is also a barometer of economic development. It plays the role of economic prediction and value discovery. Closely related, so real estate regulation often through the impact on the real estate stock market to play a role in the real estate market. This paper draws lessons from the domestic and foreign relatively mature related research results, uses the Fast ICA, multivariate linear regression, the statistical test and other research methods, collects the data, uses the Fast ICA to find out the key influence factor from many factors which affect the real estate stock price fluctuation. And the effectiveness of its impact is verified; While analyzing the impact of government regulation and control policies on real estate stock prices from a theoretical perspective, the article uses multiple linear regression. This paper empirically studies the influence of different kinds of regulation and control policies on real estate stock price in the short and long term, and makes a statistical test on the conclusion of regression model. Specifically, first of all, it summarizes the influence factors of real estate stock price index fluctuation from the theoretical level-macroeconomic policy, corporate factors and others; Among these many influential factors, some are measurable and some are unmeasurable. How to find these potential measurable factors and how to affect the real estate stock price is very important, and it is also a very challenging question. In view of the solution of this problem, this paper attempts to use a new analytical method-Rapid Independent component Analysis (Fast ICA) to find out the potential decisive factors that affect the volatility of real estate stock price index: the market trend and the government's macro-control policy; Then through the virtual real estate index to further verify the impact of government regulation policies on the real estate stock index, the combination of these two parts can be said to be a complete process of verification. Secondly, based on the relevant research results and economic theory, this paper analyzes the theoretical model of the impact of government macro-control on the real estate stock price index from the theoretical level, the impact of government regulation policies on the real estate stock price, and so on. This part provides a reliable theoretical basis for the more critical empirical research below. Thirdly, through the establishment of multiple linear regression model, the paper makes an empirical study on the long-term and short-term impact of different types of regulatory policies on real estate stock prices and the degree of impact. The validity of the multivariate linear regression model is proved by using the innovative residual lever diagram and so on, which proves the correctness of the empirical research conclusion. The better statistical test results lay a solid foundation for the next real estate market policy measures. Finally, combined with the conclusion of the previous analysis, the paper puts forward the policy suggestions and feasible measures of government macro-control in order to realize rational and sustainable development of real estate. The conclusion part summarizes the research conclusion, the new opinion, the innovation research method, the research insufficiency and the prospect and so on.
【學(xué)位授予單位】:上海師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:F293.3;F832.51;F224
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