House prices,bank instability,and economic growth: Evidence from the threshold model

This paper examines the effects of house prices on bank instability when gauged at various levels of income growth. Bank stability may respond differently to house price changes or deviations from fundamental values in an economic boom environment than in a bust circumstance. A threshold estimation technique developed by Hansen (1999) is applied to a panel of 286 U.S. Metropolitan Statistical Areas (MSAs) over the period 1990Q1–2010Q4. We consider two house price indicators: the house price changes and the house price deviations from long-run equilibrium. The results suggest the existence of income growth threshold effects in the relationship between house prices and bank instability. Specifically, there are two income growth thresholds when using the house price changes and one income growth threshold when the house price deviations are applied. Robustness results using the non-MSAs sample from 1995Q1 to 2010Q4 provide further evidence of income growth threshold effects.     

Controlling for Quality in House Price Indices

Given the importance of house prices it is not surprising that house price indices are used for many purposes. One of the factors that differentiates these indices is the house price determinants (such as structural characteristics and neighborhood quality) that are accounted for—that is, held constant. Indices are usually generated from house price regressions. It is shown that, regardless of the desired level of accounting, it is necessary to control for all significant determinants of house prices in these regressions to obtain unbiased estimates of the growth in house prices. An empirical example shows that not controlling for neighborhood quality can lead to substantial biases in estimates of house price appreciation rates even if the index does not account for this factor.     

The Dynamic Relationship Between Housing Prices and the Macroeconomy: Evidence from OECD Countries

This paper studies the dynamic relationship among house prices, income and interest rates in 15 OECD countries. We find that any disequilibrium in the long-run cointegrating relationship among these variables is corrected by the subsequent movement in house prices in most of these countries. This error-correction property of house prices implies that most of the variations in house prices are transitory, as compared to the movements in income and interest rates that are permanent, suggesting that the short-run movements in house prices are independent of the movements in income and interest rates. The results suggest that only the permanent movement in house prices, income and interest rates are associated with each other. We also find that the correlation in house price cycles across different OECD countries has changed over time with the highest correlation during the boom period of 1998–2005.     

House prices,consumption and the role of non-Mortgage debt

This paper evaluates the strength of the relationship between house prices and consumption, through the use of debt. Whereas the existing literature has largely studied the effects of house prices on homeowner total or mortgage debt, we focus on the non-mortgage component of household borrowing, using Canadian household-level data for 1999–2007. We rely on variation in regional house prices, homeownership status and age to establish the relationship between house prices and non-mortgage debt. Then, using direct information on debt uses, we determine that house price growth was associated with a non-trivial fraction of concurrent aggregate non-housing consumption growth.     

How do house prices affect consumption? Evidence from micro data

Housing is a major component of wealth. Since house prices fluctuate considerably over time, it is important to understand how these fluctuations affect households’ consumption decisions. Rising house prices may stimulate consumption by increasing households’ perceived wealth, or by relaxing borrowing constraints. This paper investigates the response of household consumption to house prices using UK micro data. We estimate the largest effect of house prices on consumption for older homeowners, and the smallest effect, insignificantly different from zero, for younger renters. This finding is consistent with heterogeneity in the wealth effect across these groups. In addition, we find that regional house prices affect regional consumption growth. Predictable changes in house prices are correlated with predictable changes in consumption, particularly for households that are more likely to be borrowing constrained, but this effect is driven by national rather than regional house prices and is important for renters as well as homeowners, suggesting that UK house prices are correlated with aggregate financial market conditions.     

The Time-Series Properties of House Prices: A Case Study of the Southern California Market

We examine the time-series relationship between house prices in eight Southern California metropolitan statistical areas (MSAs). First, we perform cointegration tests of the house price indexes for the MSAs, finding seven cointegrating vectors. Thus, the evidence suggests that one common trend links the house prices in these eight MSAs, a purchasing power parity finding for the house prices in Southern California. Second, we perform temporal Granger causality tests. The Santa Anna MSA temporally causes house prices in six of the other seven MSAs, excluding only the San Luis Obispo MSA. The Oxnard MSA experiences the largest number of temporal effects from six of the seven MSAs, excluding only Los Angeles. The Santa Barbara MSA proves the most isolated. It temporally causes house prices in only two other MSAs (Los Angeles and Oxnard) and house prices in the Santa Anna MSA temporally cause prices in Santa Barbara. Third, we calculate out-of-sample forecasts in each MSA, using various vector autoregressive and vector error-correction models, as well as Bayesian, spatial, and causality versions of these models with various priors. Different specifications provide superior forecasts in the different MSAs. Finally, we consider how theses time-series models can predict out-of-sample peaks and declines in house prices after in 2005 and 2006. Recursive forecasts, where we update the sample each quarter, provide reasonably good forecasts of the peaks and declines of the house price indexes.     

How Much Extra Premium Does a Loss-averse Owner-occupied Home Buyer Pay for His House?

The dual role of houses as durable consumption goods and as financial investments makes the option approach a suitable method for evaluating them. When the buyer of an owner-occupied home spends a large amount of money on a house, he pays the bill to cover not only construction costs but also the premium for an at-the-money call on the house. With loss aversion, he believes that if the house price rises from its current price (i.e., the strike price), he may make a profit by selling the house. On other hand, if the house price drops, he just keeps the house to wait for a better selling price, and treats the house as a durable good that provides him with shelter. The dual role of houses enables the homebuyer to enjoy the upside potential from the viewpoint of investment, but to eliminate the downside risk from the viewpoint of consumption. As a result, we propose that homebuyers are often willing to pay more for a house as a call premium. In addition, both the homeownership constraint and the homebuyer??s ambiguity aversion will influence his subjective evaluation of the call.     

House Prices and Government Spending Shocks

We show that dynamic stochastic general equilibrium (DSGE) models with housing and collateralized borrowing predict a fall in house prices following positive government spending shocks. By contrast, we show that house prices in the United States rise persistently after identified positive government spending shocks. We clarify that the incorrect house price response is due to a general property of DSGE models—approximately constant shadow value of housing—and that modifying preferences and production structure cannot help in obtaining the correct house price response. Properly accounting for the empirical evidence on government spending shocks and house prices using a DSGE model therefore remains a significant challenge.     

Predicting House Prices Using Multiple Listings Data

It is often necessary to accurately predict the price of a house between sales. One method of predicting house values is to use data on the characteristics of the area's housing stock to estimate a hedonic regression, using ordinary least squares (OLS) as the statistical technique. The coefficients of this regression are then used to produce the predicted house prices. However, this procedure ignores a potentially large source of information regarding house prices—the correlations existing between the prices of neighboring houses. The purpose of this article is to show how these correlations can be incorporated when estimating regression coefficients and when predicting house prices. The practical difficulties inherent in using a technique called kriging to predict house prices are discussed. The article concludes with an example of the procedure using multiple listings data from Baltimore.     

再售期权、货币幻觉与商品住宅价格泡沫

再售期权和货币幻觉两个因素分别从投资者对未来现金流分布的信念差异和对贴现率估计偏差的角度解释房地产价格泡沫的形成和膨胀。本文以上海商品住宅市场为例,运用动态剩余价值模型从租金房价比角度测度上海房价泡沫水平,并检验再售期权和货币幻觉对上海房价泡沫的解释作用。经验分析发现,上海商品住宅市场存在再售期权和货币幻觉效应,其中货币幻觉效应对房价泡沫影响具有不对称性但解释作用更强,建议应重点关注高通胀和实际负利率对房价泡沫的影响。     

How does house price influence monetary policy transmission?

The literature has focused on house price growth to explain the inefficiency of monetary policy. From the perspective of substitution, this paper explains the relationship between house prices and monetary policy considering not only house price growth but also house price uncertainty. By constructing a theoretical model including both financial-asset and fixed-asset investment, we find that expansionary monetary policy not only promotes total investment but simultaneously also leads to substitution towards financial assets. However, a rise in house price growth or house price uncertainty will mitigate the substitution effect generated by monetary policy. These propositions are supported by empirical data on China's nonfinancial listed firms from 2009 Q1 to 2018 Q3 and the results are robust to a variety of model specifications and empirical approaches. Our findings imply that real estate regulatory policy should coordinate with monetary policy in maximizing fixed-asset investment.     

住房价格、金融稳定与宏观审慎政策

本文通过建立包含异质性家庭、异质性厂商和金融机构的DSGE模型,分析对预期房价作出反应的货币政策和宏观审慎政策的传导机制和政策效果,研究不同政策的选择和协调问题。研究发现,首先,由于政策的作用范围不同,不同政策会对金融稳定和经济稳定产生不同影响。对预期房价作出反应的货币政策能够抑制住房需求和信贷供给,但也会抑制消费需求和产出;而对预期房价作出反应的逆周期LTV政策和逆周期资本充足率政策在应对房价波动导致的金融稳定问题时更加有的放矢。其次,外生冲击的来源会影响政策的选择和协调——当经济波动来源于需求冲击时,固定LTV政策搭配逆周期资本充足率的宏观审慎政策、不对预期房价作出反应的货币政策表现最优;当经济波动来源于供给冲击时,固定LTV政策搭配逆周期资本充足率的宏观审慎政策、对预期房价作出反应的货币政策表现最优。     

The Housing Market in the United Kingdom: Effects of House Price Volatility on Households

This paper describes the economics of the housing market and explains why house prices are likely to be more volatile than prices in other markets. It illustrates the volatility of house prices relative to some other key economic variables in the UK. The paper then considers the implications of variability in house prices for household behaviour, surveying a number of studies for the UK and elsewhere on the effects of house price volatility on consumption spending, indebtedness, labour supply, and entry to and exit from the homeownership market.     

The role of house prices in the monetary policy transmission mechanism in small open economies

We analyse the role of house prices in the monetary policy transmission mechanism in Norway, Sweden and the UK, using structural VARs. A solution is proposed to the endogeneity problem of identifying shocks to interest rates and house prices by using a combination of short-run and long-run (neutrality) restrictions. By allowing the interest rate and house prices to react simultaneously to news, we find the role of house prices in the monetary transmission mechanism to increase considerably. In particular, house prices react immediately and strongly to a monetary policy shock. Furthermore, the fall in house prices enhances the negative response in output and consumer price inflation that has traditionally been found in the conventional literature. Moreover, we find that the interest rate responds systematically to a change in house prices. However, the strength and timing of response varies between the countries, suggesting that housing may play a different role in the monetary policy setting.     

低利率推高房价：来自中国、美国和日本的证据

本文利用中、关、日三国的经验说明低利率是房价快速上涨的重要原因。在收入增加和城市化加速的背景下,房价较快上升有合理成分,但是名义利率偏低且调整滞后,通货膨胀率上涨且波动很大,导致真实利率偏低,催生投资性购房需求,是房价上升的重要推力。美国次贷危机和日本房地产泡沫的经验,清晰表明了低利率是推高房价的首要因素,而且房地产泡沫的破灭对宏观经济破坏作用巨大。房地产市场的调控,应该针对投资性购房需求。     

Outsourcing in the International Mutual Fund Industry: An Equilibrium View

We study outsourcing relationships among international asset management firms. We find that, in companies that manage both outsourced and in‐house funds, in‐house funds outperform outsourced funds by 0.85% annually (57% of the expense ratio). We attribute this result to preferential treatment of in‐house funds via the preferential allocation of IPOs, trading opportunities, and cross‐trades, especially at times when in‐house funds face steep outflows and require liquidity. We explain preferential treatment with agency problems: it increases with the subcontractor's market power and the difficulty of monitoring the subcontractor, and decreases with the subcontractor's amount of parallel in‐house activity.     

担保型商品房买卖合同纠纷的裁判困境及其出路

为担保借款合同,当事人同步签署商品房买卖合同,约定借款人不能归还借款本金及利息时,应履行商品房买卖合同。此类具有担保功能的商品房买卖合同,在性质上属于债务清偿协议。法释\[2015\]18号第24条虽要求当事人以民间借贷提起诉讼,但未否定商品房买卖合同的效力。在确认应还本金及利息及借款人没有如期清偿的前提下,出借人请求移转房屋所有权的,应予支持。     

Correlated leverage and its ramifications

This paper develops a theory in which housing prices, the capital structures of banks (mortgage lenders) and the capital structures of mortgage borrowers are all endogenously determined in equilibrium. There are four main results. First, leverage is a “positively correlated” phenomenon in that high leverage among borrowers is positively correlated with high leverage among banks, and higher house prices lead to higher leverage for both. The intuition is that first-time homebuyers with fixed wealth endowments must borrow more to buy more expensive homes, whereas higher current house prices rationally imply higher expected future house prices and therefore higher collateral values on bank loans, inducing banks to be more highly levered. Second, higher bank leverage leads to greater house price volatility in response to shocks to fundamental house values. Third, a bank’s exposure to credit risk depends not only on its own leverage but also on the leverage decisions of other banks. Fourth, positive fundamental shocks to house prices dilute financial intermediation by reducing banks’ pre-lending screening, and this reduction in bank screening further increases house prices. Empirical and policy implications of the analysis are drawn out, and empirical evidence is provided for the first two main results. The key policy implications are that greater geographic diversification by banks, tying mortgage tax exemptions to the duration of home ownership, and increasing bank capital requirements when borrower leverage is high can help reduce house price volatility.     

房产商与地方政府有限理性博弈模型的复杂性分析

基于地方政府地价控制行为和有限理性建立房产商和政府动态博弈模型,并分别用理论和数字模拟的方法对其复杂性加以分析,结果表明:区域地价和房价、房屋产销量博弈的Nash均衡在现实中是通过有限理性、不完全信息动态重复博弈达成的;若政府采取固定比率紧盯房价的模式管理地价,则政府对地价的控制决策决定区域房价均衡水平;均衡时,区域楼面地价与房价的比率是恒定的,且地价对房价的调整比率应小于最高地价房价比的2倍;政府税收和房产商建设成本制约地价调整并影响房产行业的产销量和价格,而区域政府可以通过延时反馈机制调控土地和房产市场。     

The equilibrium effect of fundamentals on house prices and rents

Using a dynamic equilibrium model of housing tenure choice with fully specified markets for homeownership and rental properties, and endogenous house prices and rents, this paper studies the effect of fundamentals on equilibrium house prices and rents. Lower interest rates, relaxed lending standards, and higher incomes are shown to account for approximately one-half of the increase in the U.S. house price–rent ratio between 1995 and 2006, and to generate the pattern of rapidly growing house prices, sluggish rents, increasing homeownership, and rising household indebtedness observed in the data.