The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US

This article provides out-of-sample forecasts of linear and nonlinear models of US and four Census subregions’ housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts, of the housing price distributions. The nonlinear smooth-transition autoregressive model outperforms the linear autoregressive model in point forecasts at longer horizons, but the linear autoregressive and nonlinear smooth-transition autoregressive models perform equally at short horizons. In addition, we generally do not find major differences in performance for the interval and density forecasts between the linear and nonlinear models. Finally, in a dynamic 25-step ex-ante and interval forecasting design, we, once again, do not find major differences between the linear and nonlinear models. In sum, we conclude that when forecasting regional housing prices in the United States, generally the additional costs associated with nonlinear forecasts outweigh the benefits for forecasts only a few months into the future.     

Do Malaysian house prices follow a random walk? Evidence from univariate and panel LM unit root tests with one and two structural breaks

In this article we apply univariate and panel Lagrange Multiplier (LM) unit root tests with one and twostructural breaks proposed by Lee and Strazicich (2003, 2004) and Im et al. (2005) to examine housing prices for five different housing price indices (all housing, detached housing, semi-detached housing, terrace housing and high-rise housing) in 14 states of Malaysia to test whether housing prices exhibit a random walk. Our main finding from the univariate LM unit root tests is that for the vast majority of states housing prices follow a stationary process about a segmented trend. The results of the panel LM unit root tests provide overwhelming evidence that house prices are segmented trend reverting.     

Adjustable-rate mortgages,household mobility,and homeownership: A simulation study

A semi-Markov model is used to evaluate the effects of adjustable-rate mortgages on housing tenure decisions of recent movers and steady-state homeownership rates. Simulations were undertaken based on household data from the Panel Study of Income Dynamics together with information on FRM-ARM rate spreads and Treasury yield curves. Results suggest that under most interest rate patterns that prevailed in the 1980s, ARMS had little effect on the relative cost of owning to renting and, as a result, had little effect on mover tenure choice and home sales. Moreover, despite some minor projected increase in the percentage of movers that choose to own when ARMs are available, ARM effects on steady-state owner-occupancy rates appear to be largely mitigated by an ARM-induced tilt toward a relatively more mobile steady-state pool of owner-occupiers.     

Locating community-led housing within neighbourhood plans as a response to England’s housing needs

Neighbourhood planning has revealed a real demand for connecting local planning with new ways of producing much-needed housing in England. Analysis of the first adopted neighbourhood plans illustrates the desire for connecting housing to local needs, providing affordable accommodation as well as housing for older people, young families and households with disabled residents. This paper explores the potential of linking neighbourhood planning and community housing development and suggests how such models can co-exist with contemporary housing markets.     

当代美国住宅的思考

美国2000年新建住宅投资4251亿美元,占固定资产投资的21．3％;住宅直接消费为9588亿美元,占GDP的9．71％;年存量住宅为1．16亿套(户),空置率为5．9％。购买新房一般中值价为80美元／ft^2,一套住宅(2000ft^2)中值房价为16万美元;按中值计算贷款购房的支出与收入比为1：4．7;在美国仍有3500万户居民租用住宅。     

Explaining House Price Dynamics: Isolating the Role of Nonfundamentals

This paper examines the role of nonfundamentals‐based sentiment in house price dynamics, including the well‐documented volatility and persistence of house prices during booms and busts. To measure and isolate sentiment's effect, we employ survey‐based indicators that proxy for the sentiment of three major agents in housing markets: home buyers (demand side), home builders (supply side), and lenders (credit suppliers). After orthogonalizing each sentiment measure against a broad set of fundamental variables, we find strong and consistent evidence that the changing sentiment of all three sets of market participants predicts house price appreciation in subsequent quarters, above and beyond the impact of changes in lagged price changes, fundamentals, and market liquidity. More specifically, a one‐standard‐deviation shock to market sentiment is associated with a 32–57 basis point increase in real house price appreciation over the next two quarters. These price effects are large relative to the average real price appreciation of 71 basis points per quarter observed over the full sample period. Moreover, housing market sentiment and its effect on real house prices is highly persistent. The results also reveal that the dynamic relation between sentiment and house prices can create feedback effects that contribute to the persistence typically observed in house price movements during boom and bust cycles.     

个人住房贷款的风险与防范

近年来,商业银行把个人住房贷款看作是优质贷款品种,因此一直大力发展该项业务。但是,根据国际经验,个人住房贷款的风险暴露期通常为3-8年,中国个人住房贷款可能刚开始进入到风险暴露期。因此正确认识并努力防范当前个人住房贷款业务存在的风险尤为重要。本文深入分析了个人住房贷款的风险,如假按揭风险、信用风险、流动性风险等五种风险,并提出了防范风险的对策。