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Research on the Long-term Memory of Commodity Housing Price Volatility Based on the FIGARCH Model

机译:基于富纳模型的商品住房价格波动长期记忆研究

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The purpose of this paper is to test whether there exists a long-term memory volatility characteristics of housing price. The paper based on the data ranging of Zhengzhou from January 2004 to May 2014, by adopting the FIGARCH model, empirically studies and analysis this characteristics. The research results indicate that the price fluctuation of Zhengzhou commodity homes exist effect of cluster and long-term memory characteristic. FIGARCH model can capture the long memory well, and can predict the future price of commodity residential house for a period of time .Therefore, FIGARCH model can well catch long-term memory and forecast the commodity housing price in the future period of time, which illustrates that external shocks have long-standing impact on the volatility of commodity housing price as well, reaching the conclusion that long-effect Mechanism of regulation and control should be set and developed during the macro-control of the government.
机译:本文的目的是测试住房价格的长期记忆波动特性。 本文通过2004年1月至2014年5月的郑州数据范围,采用了顽皮思模型,经验研究和分析了这种特征。 研究结果表明,郑州商品家庭的价格波动存在于集群和长期记忆特征的影响。 努力模型可以很好地捕获长记忆,并可以预测商品住宅的未来价格一段时间。因此,盛大的模型可以很好地捕获长期记忆,并预测未来的商品房价在未来的一段时间内 说明外部冲击对商品住房价格的波动性的影响以及结论,应在政府宏观控制期间设立和发展监管和控制的长效机制。

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