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The asymmetric volatility of house prices in the UK

机译:英国房价的非对称波动

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Purpose – The purpose of this paper is to show an indication that the asymmetric volatility between house price movement may account for the defensiveness of the housing market. Design/methodology/approach – First the UK nation-wide house price data from the last quarter (Q4) of 1955 to the last quarter of 2005 are used and then the most suitable mean and variance equations to estimate the conditional heteroscedasticity volatilities of the returns of house prices are selected. Second, a variable that examines the leverage effect of volatility is incorporated into the model. The GJR-GARCH model is used. Findings – The results of the empirical test show that while the lagged innovations are negatively correlated with housing return, that is when there is bad news, the current volatility of housing return might decline. Research limitations/implications – The results indicate that the volatilities between house prices moving up and moving down are asymmetric. Practical implications – The results show that there is a defensive effect in the UK housing market during the data periods used. Originality/value – Although several articles have documented that there is heteroscedasticity and autocorrelation in the volatilities of real estate prices, few of those papers have noted one of the most important advantages of the housing market, its defensiveness, from the viewpoint of volatile behavior.
机译:目的–本文的目的是表明房价走势之间的不对称波动可能是房地产市场防御性的原因。设计/方法/方法–首先使用从1955年最后一个季度(第四季度)到2005年最后一个季度的英国全国范围的房价数据,然后使用最合适的均值和​​方差方程来估算收益的条件异方差波动率选择房价。其次,将检查波动率的杠杆效应的变量合并到模型中。使用GJR-GARCH模型。研究结果–实证检验的结果表明,虽然落后的创新与房屋收益呈负相关,也就是说,当出现不利消息时,当前房屋收益的波动性可能会下降。研究的局限性/意义–结果表明,房价上涨和下跌之间的波动是不对称的。实际意义–结果表明,在所使用的数据期间,英国住房市场存在防御作用。原创性/价值-尽管有几篇文章记录了房地产价格波动中存在异方差性和自相关性,但从波动性行为的角度来看,这些论文中很少有人提到房地产市场的最重要优势之一,即防御性。

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