经济下行风险下的地产行业决策与应对分析

Real Estate Industry's Decision-making and Response Analysis under Economic Downside Risk

随着中国经济下行,地产行业投资决策的风险越来越高。传统的策略分析能够在正常经济环境下的地产行业决策中起到较好的作用,但是在经济存在下行风险的条件下,对于构建地产投资组合决策模型以降低风险的效果较差。因此,本文提出一种优化的蚁群聚类算法并在此基础上建立考虑经济下行风险的房地产行业策略分析模型,对经济下行条件下地产行业决策进行数据聚类研究,使用经济指标以及地产收益率聚类等地产行业决策策略,对其数据进行剖析,并进行了实证分析,证明了利用分类决策的可行性和较优效果,为经济下行条件下地产行业决策的风险控制提供了理论基础。

With the downturn of China's economy, the risk in the decision-making of China's real estate industry becomes higher and higher. In the normal economic environment, traditional strategy analysis plays a good role in the decision-mak?ing of the real estate industry, but under economy downside risks, to build real estate portfolio decision-making model in order to reduce the risk is of poor effect. Therefore, the paper proposes an optimized ant clustering algorithm, considering the economic downturn risk,an strategic analysis model of the real estate industry is set up to conduct the data clustering research of real estate decision-making under the condition of the economic downturn, using economic indicators, property yields clustering and other decision strategies of the real estate industry to dissect the data and carry on the empirical analy?sis, which proves that the utilization of classification decision is of feasibility and has a better effect, thus provides a theoret?ical basis for the risk control of real estate industry’s decision-making under the economic downturn condition.