Risk management of real estate: The case of real estate swaps

Real estate swaps are a recent financial innovation based upon the principle of comparative advantage. A real estate swap is a useful tool for real estate risk management and for participating in real estate investment without the high costs associated with real estate. Potential economic benefits and costs associated with real estate swaps are considered and real estate swaps are compared to alternative tools for real estate risk management. The expected utility and effectiveness of risk management with a swap in a multiperiod framework are analyzed. The analysis finds that the subject property's return and its risk characteristics (as reflected in its correlation with interest rate and property index returns) delimit the risk management potential of a given swap position. Optimal swap positions are shown for various regions and property types based on historical return series, from the period between 1983 and 1992, and the parameters of the dynamic model developed.     

The predictability of real estate returns and market timing

Recent evidence suggests that all asset returns are predictable to some extent with excess returns on real estate relatively easier to forecast. This raises the issue of whether we can successfully exploit this level of predictability using various market timing strategies to realize superior performance over a buy-and-hold strategy. We find that the level of predicability associated with real estate leads to moderate success in market timing, although this is not necessarily the case for the other asset classes examined in general. Besides this, real estate stocks typically have higher trading profits and higher mean risk-adjusted excess returns when compared to small stocks as well as large stocks and bonds even though most real estate stocks are small stocks.     

Statistical properties of returns: Financial assets versus commercial real estate

This study examines the distribution of commercial real estate returns by region (east, midwest, south, and west), by property type (office, retail, R&D office, and warehouse) and in the aggregate, and compares their distributions to those of financial assets. Nominal and real returns are examined for quarterly, semiannual, and annual periods. The quarterly nominal returns on the financial assets are mostly normal with very little indication of autocorrelation. In contrast, non-normality and autocorrelation are present in most of the nominal quarterly real estate series. The non-normality is greatly reduced when semiannual or annual returns are considered or when the quarterly series are corrected for autocorrelation. The non-normality is also lower for real returns than it is for nominal returns.     

The persistence of real estate cycles

This paper presents a model that attempts to explain the underlying causes of the prolonged cycles observed in real estate markets. In addition, the paper characterizes the features that make some property types more prone to such boom-and-bust behavior. The combination of demand uncertainty, adjustment costs, and construction lags leads to two phenomena that may help explain market persistence. The first phenomenon is the reluctance of owners to adjust occupancy levels, even in the face of large shifts in renter demand. The second phenomenon is the occurrence of periods of sustained overbuilding: the addition of new supply in the face of already high vacancy rates.     

The integration of the real estate market and the stock market: Some preliminary evidence

The current study investigates whether the commercial real estate market is segmented from the stock market using the framework of Jorion and Schwartz (1986). Evidence is found to support the hypothesis that segmentation does exist as the result of indirect barriers such as the cost, amount, and quality of information for real estate rather than legal constraints. However, this evidence is contingent on whether real estate returns are computed with appraised values or imputed sale prices and on which market proxy is chosen.     

Real estate returns,money and fiscal deficits: Is the real estate market efficient?

This research examines the causal relationship between several financial variables and a portfolio of real estate returns using monthly data from January 1965 to December 1986. The empirical analysis is based on multivariate Granger-causality tests in conjunction with Akaike's final prediction error criterion. The results indicate that measures approximating monetary policy and market returns play an important role in causing changes in real estate returns. In particular, our findings suggest that base money and market returns have had significant lagged effects on current real estate returns.     

Empirical tests of real estate market efficiency

Recent empirical research using real estate data has supported the weak and semi-strong forms of the efficient markets hypothesis. Previous studies have not included an estimate of expected appreciation into the tests of market efficiency, thus raising a question about the reliability of the results. We first use a market model to test for market efficiency with results similar to those reported by others. We next use a dynamic multiple indicator, multiple cause (DYMIMIC) model, which extracts a vector of expected appreciation from the price data, to test market efficiency. This approach produces superior results and a stronger conclusion about the efficiency of housing markets. The results indicate limited adjustment delays which can be explained by the existence of high transactions and search costs.     

The tax-induced holding periods of real estate Investors: Theory and empirical evidence

This article reexamines holding period decisions in real estate investment. It develops and empirically tests a holding period model recognizing not only taxes but also refinancing and investor-specific determinants. Based on a sample of over 1,000 real estate transactions with observed holding periods, the results of our tests support the conclusion that investors' consumption and investment preferences and prevailing market interest rates are more important than tax issues in determining the holding periods of real estate investors.     

The impact of financing decisions on the security returns of real estate corporations

This research investigates the valuation impact of financing decisions on the common stock of real estate corporations. We compare the results of our study with the results of similar studies in the corporate finance literature to test whether the response to security offerings by real estate firms differs systematically from the response to offerings by industrial and utility firms. The results of this study indicate a generally favorable price response to straight bond announcements, and unfavorable responses to common stock, convertible bonds, and lines of credit announcements.     

A theory of predictable excess returns in real estate

A principal-agent model is employed to characterize the equilibrium mortgage contract. The value of a house depends on the actions of its owner but affects the wealth of both the owner and the lender who writes the mortgage contract with which the house is purchased. Because of this, the buyer is exposed to moral hazard. In some situations, this can lead to inefficient maintenance and predictable excess returns to home ownership. Even though there are potential buyers willing to pay back more money, the bank will not write loans for these consumers because of the adverse incentive effects of such an action.     

The role of co-skewness in the pricing of real estate

The current study investigates whether systematic skewness offers an alternative perspective as to why the risk-adjusted returns on real estate should be similar to that for stocks. This is not a trivial issue since an affirmative finding implies that we might be incorrectly measuring real estate risk from both a pricing and a portfolio allocation perspective. A multivariate test of the Kraus-Litzenberger model is used to investigate this skewness proposition with the K-L CAPM tested against several alternative versions of the CAPM. The study finds that the Kraus-Litzenberger model offers additional insights into the measurement of real estate risk. Evidence is also found that both the zero beta and the consumption-oriented CAPM hold, which is consistent with the recent literature in real estate.     

房地产市场变化与通货膨胀传导机制

文章分析了房价上涨在通胀形成和传导中的作用,指出房地产等资产价格上涨通过引发通胀预期推高各类生产要素特别是劳动力成本价格,从而对整体价格水平产生成本推动型的上涨压力,其中劳动力等生产要素价格上涨通过加大食品价格波幅和提高其价格中枢水平对通胀水平产生显著影响,因此,抑制物价须管好房价,并充分发挥货币政策的作用。     

保险资金不动产投资模式研究

本文首先对国际上保险资金进行不动产直接投资和间接投资的情况进行了概述,然后对保险资金不动产投资模式进行了归纳总结和案例分析。在此基础上,对我国目前保险资金不动产投资政策与模式进行了探讨。最后,针对我国保险资金不动产投资业务的发展提出了相关建议。     

危机前后美国寿险公司不动产投资研究

基于ISIS全球保险公司数据库收录的美国寿险公司数据资料,本文研究了美国寿险公司的不动产投资情况.研究发现,从美国寿险公司的资产组合构成来看,不动产投资所占的比重还很低,且在次贷危机前后不动产投资在整个资产组合中所占的比重没有很大的变动.在美国房地产市场顶峰期的2005年,寿险公司所持有的不动产投资反而是最低的.但是,...     

The market for residential real estate brokerage services: Costs of production and economies of scale

Although the market for real estate brokerage services has been the subject of intense scrutiny for many years, little empirical evidence has been forthcoming regarding the performance of this market. This paper employs a translog cost function to model the underlying production function for the residential real estate brokerage industry. The results indicate that, except for very large firms, modest economies of scale persist throughout almost the entire range of output. Our results also indicate that while average firm size is increasing, many real estate firms are too small to take full advantage of the cost reductions possible with a larger scale of operation. Equally important, large firms do not command a competitive advantage over smaller firms, as fer as unit costs are concerned.     

海南省海口、三亚两市房地产泡沫程度分析

近年来,海南省房地产市场呈现出迅猛发展的态势,特别是作为海南省经济发展龙头的海口,三亚两市,其不断攀升的房价导致居民购房压力大,购房困难。各方人士针对房价的高涨势头及由此可能产生的“泡沫效应”展开了热议。本文采用国际上判断房地产价格是否合理的若干指标,结合2003—2008年海口和三亚两市的统计数据进行分析,结果显示出海口市与三亚市的房地产市场已存在泡沫迹象。政府部门应未雨绸缪,积极出台相应的政策法规。防止房地产泡沫破裂的损失再次发生。     

Buying a house and the decision to use a real estate broker

This study examines the factors that affect the decision by home buyers to use real estate brokers and the subsequent effect this decision has on home prices. Buyers with high opportunity costs and the least amount of information about local market conditions are the most likely to use brokers; a finding consistent with the role of the real estate broker as a market intermediary. Not surprisingly, these were some of the same factors that also have a positive impact on selling price. An important finding of this study is that when selection bias is adequately controlled, the real estate broker has no appreciable, independent impact on selling price. This, in turn, suggests a nonsegmented, highly competitive housing market.     

Common factors in international securitized real estate markets

This study investigates the presence of common factors in the securitized real estate markets of the Untied States (US), United Kingdom (UK), Hong Kong (HK), and Singapore (SG). Using a combination of factor analysis and canonical correlation analysis on 10-year monthly return data for 142 real estate securities in the four markets, more common risk factors among real estate securities within a country than across countries are detected. In addition, there is at least one common securitized real estate market factor that is moderately correlated with the world real estate market, and to a lesser extent, with the world stock market. However, the degree of linkage across the four securitized real estate markets is much weaker than the strong linkages present across the four economies. It further appears that the extent to which correlations are found in international securitized real estate markets might largely be due to the increasing integrated nature of the world real economy, rather than a result of the globalization of financial markets. The results are preliminary, but indicative, and suggest that more studies exploring how common factors, together with the local market portfolio, could help explain the return-generating process of securitized real estate.     

德国房地产市场保持平稳的经验

金融危机前后,欧洲多个国家房地产业经历了大起大落,而德国房地产业却保持平稳发展态势,德国房地产业的成功经验值得借鉴。其较高的城市化水平使得各地房产市场发展水平均衡;发达的租赁市场辅助房价稳定;政府更多强调房地产的社会福利性质,并通过健全的法律制度安排,满足各阶层民众的不同层次住房需求。     

The sensitivity of Japanese bank stock returns to economic factors: An examination of asset/liability differences and main bank status

The sensitivity of Japanese bank stock returns to market return innovations (shocks), innovations in Japanese government bond returns, trade-weighted yen exchange rate return innovations, and interest rate spread changes are examined. Japanese bank stock returns are found to be significantly and usually negatively related to long-term interest rate innovations in 34% of all regressions. Market β's are found to be always highly significant, while few of the exchange rate return β's and spread β's are significant. Cross-sectional differences in the market and bond return β's are examined. Japanese main banks are generally found to assume more risk, based on market β's.