House prices, expectations, and time-varying fundamentals

被引:43
|
作者
Gelain, Paolo [1 ]
Lansing, Kevin J. [2 ]
机构
[1] Norges Bank, N-0107 Oslo, Norway
[2] Fed Reserve Bank San Francisco, San Francisco, CA 94120 USA
关键词
Housing bubbles; Expectations; Excess volatility; Predictability; Time-varying risk premiums; Expected returns; ADAPTIVE EXPECTATIONS; EXCESS VOLATILITY; AGGREGATE STOCK; EQUITY PREMIUM; ASSET; BUBBLES; CONSUMPTION; DYNAMICS; MODEL; INFORMATION;
D O I
10.1016/j.jempfin.2014.05.002
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We investigate the behavior of the equilibrium price-rent ratio for housing in a standard asset pricing model and compare the model predictions to survey evidence on the return expectations of real-world housing investors. We allow for time-varying risk aversion (via external habit formation) and time-varying persistence and volatility in the stochastic process for rent growth, consistent with the U.S. data for the period 1960 to 2013. Under fully-rational expectations, the model significantly underpredicts the volatility of the U.S. price-rent ratio for reasonable levels of risk aversion. We demonstrate that the model can approximately match the volatility of the price-rent ratio in the data if near-rational agents continually update their estimates for the mean, persistence and volatility of fundamental rent growth using only recent data (i.e., the past 4 years), or if agents employ a simple moving-average forecast rule for the price-rent ratio that places a large weight on the most recent observation. These two versions of the model can be distinguished by their predictions for the correlation between expected future returns on housing and the price-rent ratio. Only the moving-average model predicts a positive correlation such that agents tend to expect high future returns when prices are high relative to fundamentals a feature that is consistent with a wide variety of survey evidence from real estate and stock markets. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:3 / 25
页数:23
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