政府土地供应政策、行政调控政策对房价波动的影响——基于中国35个城市的证据

2016年中国面临了新一轮的房价上涨，政府调控对房价调节起着重要的作用。本文从中国35个城市2010～2016年的土地供应政策（土地竞拍过程中的额外规定）和行政调控政策（“限贷”、“限购”和住房规划政策）的变化来研究其对房价波动的影响，得出土地供应调控和“限购”政策对房价的显著正向作用，但“限贷”和住房规划政策对房的作用与预期相反并做了相应的分析，最后提出3个稳定房价的建议：（1）在供给侧的调控仍以增加土地供应为核心，各大城市统筹兼顾，突出重点。（2）在需求侧的调控则以“限贷”、“限购”为抑制房价上涨的短期有效的政策工具。（3）土地制度改革是稳定房价根本措施。     

Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands

This article assesses the predictive power of variables that measure market tightness, such as seller's bargaining power and sale probabilities, on future home prices. Theoretical insights from a stylized search‐and‐matching model illustrate that such indicators can be associated with subsequent home price appreciation. The empirical analysis employs listings data on residential units offered for sale through a real estate broker in the Netherlands and for certain U.S. regions. Individual records are used to construct quarterly home price indices, an index that measures seller's bargaining power and (quality‐adjusted) home sale probabilities. Using conventional time‐series models we show that current sale probabilities and bargaining power can significantly reduce home price appreciation forecast errors and help to predict turning points in local area housing markets. The measures and approaches in this article help to demonstrate ways in which researchers and practitioners can leverage listings data to gain knowledge about the current and future state of the housing market.     

Interest Rate Risk, Residential Mortgages and Financial Futures Markets

Residential mortgage markets in both the United States and Canada have recently been dominated by instruments such as variable-rate and short-term rollover mortgages which require borrowers to assume a greater burden of interest rate risk. An outstanding question is whether this approach to risk allocation is Pareto optimal or whether there are other more effective methods of dealing with the risk created by interest rate volatility. This study examines the potential for shifting this risk from the mortgage market to the financial futures market. After considering the rationale for expecting that neither mortgage borrowers nor lenders wish to absorb the high levels of risk present in the existing financial environment, this study discusses the hedging of interest rate risk through financial futures markets. Empirical tests are then performed to evaluate the effectiveness of U.S. futures markets for hedging positions from the U.S. mortgage market. These results indicate that the interest rate risk inherent in residential mortgages can be substantially shifted through one or more positions in the existing futures contracts and long-term, fixed-rate mortgages may still be financially feasible under conditions of interest rate volatility.     

Managing Mortgage Interest-Rate Risks in Forward, Futures, and Options Markets

This article reviews the Housing Commission's perspective and recommendations on management of interest-rate risks in housing finance, and considers the relative advantages of various techniques by which institutions on the supply side of mortgage markets can absorb or shift such risks. It is argued that exchange-based options can provide a more reliable way than cash forward contracting for originators or purchasers of mortgages to manage commitment-period risk, but that commitment fees charged household borrowers should not fully correspond to premiums for put options "traded" on the exchanges. It also is argued that exchange-based futures can provide a more effective and economical way than asset-liability maturity matching in cash markets for thrift institutions to manage portfolio interest-rate risks; in particular, futures trading can permit these institution to meet the maturity preferences of liquidity-conscious creditors and risk-averse borrowers, to reduce the risk associated with unexpected shifts of the yield curve, and to maintain a higher degree of asset quality. The capacity of futures markets to handle large-scale hedging by mortgage market participants will depend upon heavy participation by highly leveraged speculators who are willing to take long positions without the receipt of substantial risk premiums from hedgers.     

Investor Confidence as a Determinant of China's Urban Housing Market Dynamics

China's urban housing market dynamics suggest that evolving investor confidence may be a relevant demand shifter. Such investors are continually updating their beliefs about the state of the macroeconomy and the policy uncertainty related to national and local housing policies. We build a 35 Chinese city real estate confidence index that varies over time and across cities. This index predicts subsequent house price appreciation and new housing sales. We document evidence of heterogeneous effects of investor confidence depending on a city's demographics and the city's elasticity of housing supply. Our results based on a new household‐level expectations survey bolster the case that investor expectations are an important determinant of real estate price dynamics.     

Tracing the source of liquidity for distressed housing markets

We show that profit-seeking institutional investors provide valuable liquidity and spur the recovery of distressed housing markets. Using a quasi-natural experiment wherein investors purchased prepackaged distressed home portfolios from government-sponsored enterprises, we find that transaction prices of properties located within 0.25 miles of bulk-sale properties increased by 1.4% more than homes located farther away. This positive price spillover effect helped reverse the discounts at which such properties were being sold prior to the bulk-sale event. The price spillover effect due to the bulk-sale event is greater for foreclosed homes (4.1%), homes similar to the bulk-sale homes (2.5%), and homes in highly distressed neighborhoods (7.0%). Our results highlight asset disposition through pooling and institutional participation as a potential market-driven channel for the recovery of distressed housing markets.     

Inflation Protection from Homeownership: Long‐Run Evidence, 1814–2008

This article examines the inflation hedging capacity of the private home. We employ unique long‐term data for inflation, house price dynamics and rents for Amsterdam dating back to 1814, allowing us to study total housing returns in different inflation regimes and for varying investment horizons. Our Amsterdam data show that homeownership's protection against actual and expected inflation increases with the investment horizon. This increase is especially strong for horizons up to 10 years. Inflation protection from housing is stronger when inflation is persistent, and the hedging capacities of housing regarding unexpected inflation are weak.     

上海燃料油期货市场运行效率实证研究

应用协整检验、Granger因果检验、套保比率计算和套保绩效检验等方法,对上海燃料油期货与现货的长期相关关系以及价格发现和套期保值功能的发挥情况进行了定量研究。结果表明,上海燃料油期货与黄埔现货之间具有长期均衡关系,二者之间是相互引导的;上海燃料油期货市场具有良好的价格发现和套期保值功能,可以为企业利用期货市场进行套期保值规避风险提供有效的支持。     

House Search Duration in Hot and Cold Residential Markets

This study analyzes the determinants of house search duration of consumption‐driven buyers and individual investors in different housing market environments. We use data from surveys of recent house‐buyers in “hot” and “cold” housing markets in the 2000s housing bubble in California characterized by rising and declining residential house prices, respectively. The average house price and the surveyed geographical area are the same for both periods. Expected house ownership horizon is shown to be an important determinant of the realized search duration in addition to commonly considered housing and buyer characteristics. We find a statistically significant positive effect of it on the time until purchase in both housing price environments for consumption‐driven buyers. We also find that consumption‐driven house purchases were highly pronounced in coastal areas in the hot market and inland areas in the cold market. In contrast, long‐horizon investment activity leads that of consumption activity in those areas. Short‐horizon investors, on the other hand, concentrated their house search activity in inland areas in both housing market environments.     

The economic effects of real estate investors

We show five new results about small- and medium-sized real estate investors (SMREI) who participate through legal entities in US housing markets. First, SMREI have the largest growth across all cities post Great Recession, in contrast to Wall Street Landlords who concentrate in superstar cities. Second, SMREI increase house price growth and price-to-income ratio, especially in the bottom price tier. Third, this effect is reversed as investors trigger a medium-run supply response. Fourth, in areas with a high supply elasticity, SMREI affect rents more than prices. Finally, SMREI change the composition of the housing stock in favor of multifamily units.     

Risikoprämien im Erdölhandel

Risk premiums are not directly observable, since they are only a part of futures prices. In an efficient market, the historical price at maturity of the futures prices can be taken as an approximation of expected spot price. Therefore, risk premiums are identified as the bias between the historical spot prices at maturity and futures prices with the correspondent maturity. The Brent Futures markets with maturities of four months are examined. The calculated risk premiums are positive and the deviations from the historical spot price are left skewed, which implies that buyers in crude oil markets are risk averse and prudent. The risk premiums have approximately tripled in 2001–2008 to 1991–2000. This is caused either by an increased specific market risk or by inefficient information of market participants.     

Are Investors the Bad Guys? Tenure and Neighborhood Stability in Chelsea,Massachusetts

In this article, we examine the role of investors and occupant‐owners in an urban context during the recent housing crisis. We focus on Chelsea, Massachusetts, because it is a dense city, dominated by multifamily housing structures with high rates of foreclosure for which we have particularly good data. We distinguish between occupant‐owners and investors using local data, and we find that many investors are misclassified as occupant‐owners in the Home Mortgage Disclosure Act data. Then, employing a competing risks framework to study ownerships during the period 1998 through mid‐2010, we find that local investors, who tend to invest more in relation to purchase prices and sell more quickly, experienced approximately 1.8 times the mortgage foreclosure risk of occupant‐owners, conditional on financing. Nonlocal investors have no statistically significant difference in foreclosure risk from occupant‐owners. Nonetheless, those owners with subprime purchase mortgages (most of whom are occupant‐owners) faced the highest foreclosure risk when house prices fell.     

Are Rising College Premiums Capitalized into House Prices? Evidence from China

Many areas in China experienced steeply rising house prices beginning in 2003. We test whether a change in local residency requirements may have played a role in driving up house prices in some places by tying access to Chinese universities to local homeownership status in the presence of a rising college premium. We generate a novel dataset that combines China housing market and neighborhood data with household and university admission data. We find evidence of capitalization effects and a sizable increase in the likelihood of homeownership postpolicy change in places with the greatest preferential access to China's elite universities.     

Revisiting the Past and Settling the Score: Index Revision for House Price Derivatives

This article examines index revision in measuring the prices for owner-occupied housing. We consider revision in the context of equity insurance and the settlement of futures contracts. The usefulness of aggregate housing price indexes in these contexts requires stability as they are extended. Methods that are subject to substantial revision raise questions about the viability of derivatives markets. We find that the most widely used house price indexes are not equally exposed to volatility in revision. Hedonic indexes appear to be substantially more stable than repeat-sales indexes and are not prone to the systematic downward revision found in the repeat-sales indexes.     

The burgeoning role of iBuyers in the housing market

We examine the iBuyers’ business model and their impact on housing markets. We find that iBuyers tend to enter neighborhoods that have more easily priced and homogeneous homes, as price discovery is simpler and more consistent with their pricing algorithm in those areas. iBuyers purchase homes at lower prices than individual owner-occupiers, and this acquisition discount reflects the benefits iBuyers offer to motivated sellers rather than distressed home purchases or unobserved lower-quality housing characteristics. Last, a greater presence of iBuyers results in a higher volume of local housing transactions and encourages more home sellers to sell without listing.     

Estimating Bargaining Effects in Hedonic Models: Evidence from the Housing Market

Bargaining is common in markets for heterogeneous goods and differences in bargaining power between buyer and seller affect the negotiated transaction price. Previous research has found systematic evidence in the housing markets that weak buyers pay higher prices and weak sellers receive lower prices for their homes. Earlier work has modeled the bargaining effect as a parallel shift in the hedonic function, implicitly assuming that attribute shadow prices were unaffected by the bargaining process. In this paper, we use a sample of home sales where the seller's bargaining power is weakened by the fact that the home is vacant at the time of sale to test whether the effect of bargaining is best captured by a shift in the hedonic constant or whether the attribute shadow prices vary as well. The question is significant for property valuation where estimation of the marginal value of an attribute is commonly used to adjust comparable sales data. We find strong confirmation that bargaining power influences the negotiated price. We also find evidence that bargaining power alters attribute prices, although we do not find a consistent pattern across markets.     

Housing Supply,Land Costs and Price Adjustment

We analyze relationships between housing supply elasticities, land costs and house price dynamics, contributing three main insights. First, higher housing supply elasticities help contain short‐run price spikes following demand shocks. Second, land price dynamics influence this relationship; supply responses are lessened and house price spikes are exacerbated as land prices increase. Third, we estimate a system of regional equations modeling housing supply using a Tobin's‐q specification (incorporating construction and land costs) and show that regional price dynamics are a function of the region's supply elasticity.     

On the strategic value of risk management

This article examines how firms facing volatile input prices and holding some degree of market power in their product market link their risk management and their production or pricing strategies. This issue is relevant in many industries ranging from manufacturing to energy retailing, where firms that are rendered “risk averse” by financial frictions decide on and commit to their hedging strategies before their product market strategies. We find that commitment to hedging modifies the pricing and production strategies of firms. This strategic effect is channeled through the risk-adjusted expected cost, i.e., the expected marginal cost under the probability measure induced by shareholders' “risk aversion”. It has opposite effects depending on the nature of product market competition: commitment to hedging toughens quantity competition while it softens price competition. Finally, not committing to the hedging position can never be an equilibrium outcome: committing is always a best response to non-committing. In the Hotelling model, committing is a dominant strategy for all firms.     

Hedging GNMA Mortgage-Backed Securities with T-Note Futures: Dynamic versus Static Hedging

This article proposes a dynamic hedging model for Government National Association Mortgage-Backed Securities (GNMA MBSs) that is free of the drawbacks associated with the static hedging strategies currently used. The simultaneity bias of the regression approach is dealt with by modeling the joint distribution of price changes of GNMA MBSs and 10-year Treasury-note futures. Error correction (EC) terms from cointegrating relationships are included in the conditional mean equations to preserve the long-term equilibrium relationship of the two markets. The time-varying variance–covariance structure of the two markets is modeled via a version of the bivariate generalized autoregressive conditionally heteroskedastic model (bivariate GARCH), which assures that the time-varying variance–covariance matrix is positive semidefinite for all time periods. This dynamic error-correction GARCH model is estimated using daily data on six different coupon GNMA MBSs. Dynamic cross-hedge ratios are obtained from the time-varying variance–covariance matrix using the 10-year Treasury-note futures contract as the hedging instrument. These ratios are evaluated in terms of both overall risk reduction and expected utility maximization. There is overwhelming evidence that dynamic hedge ratios are superior to static ones even when transaction costs are incorporated into the analysis. This conclusion holds for all six different coupon GNMA MBSs under investigation.     

Hedging grain price risk in the SADC: Case studies of Malawi and Zambia

We use simulation methods to examine the results of hedging maize food security imports into Malawi and Zambia on the South African Exchange (SAFEX). Results show that hedging using either futures or options can spread import costs over time, thereby reducing variability, and also possibly generating lower average costs. These benefits are increased if hedging only takes place when local prices are at less than import parity and also if the hedge is levered. However, problems will remain so long as intra-regional transport costs remain high.