A Regime‐Switching Approach to Modeling Rental Prices of U.K. Real Estate Sectors
用门限区制转换模型分析1974-2008年英国三个商业地产行业的租金调整过程，发现非线性模型在样本内拟合和样本外预测上优于线性模型，且区制转换由租金增长率超过特定阈值触发。
This article uses regime‐switching models of the threshold type to analyze the adjustment process of rental prices for three U.K. commercial real estate sectors over the period 1974–2008. The nonlinear models outperform their linear counterparts in in‐sample fit. Their out‐of‐sample forecasting ability is better whenever the corresponding linear models contain a significant amount of neglected nonlinearity. Regime switches are triggered when the growth rates of rental price exceed certain threshold levels. For the industrial and retail sectors such regime switches occur in situations of strong excess demand, for the office sector they occur when there is strong excess supply.