Adjustments in the Real Estate Market

AREUEA is pleased to acknowledge the support of the National Association of REALTORS in the preparation of this issue. We are particularly grateful to John Tuccillo, Senior Vice President and Chief Economist at NAR, for recognizing the importance of this research area and encouraging these studies. The editors would also like to acknowledge the continuing support of their colleagues at The Ohio State University and of the Homer Hoyt Institute.     

Supply Adjustments to Demand Shocks in the Commercial Real Estate Market

This paper contributes a theoretical investigation of real estate supply adjustments in the commercial real estate market. Simple theoretical linkages between the goods market (the demand side) and the space market (the supply side) are developed and then used to explain the optimal supply decisions of space producers. Propositions relating to how space production decisions are made under conditions of demand certainty, demand uncertainty and free entry are derived from optimization models. Under demand certainty, the adjustment of space supply is shown to be affected by whether an exogenous shock is perceived as mild or disastrous. Under demand uncertainty, construction based on pent-up demand is shown to be suboptimal.     

Real Estate Cycles: Some Fundamentals

This paper demonstrates that different types of real estate can have very different cyclic properties. Empirically, it is shown that they do, and the question is posed as to what might distinguish between property markets where movements are largely stable responses to repeated economic shocks and those undergoing a continuing endogenous oscillation. A stock-flow model is built in which the future expectations of agents, the development lag, the degree of durability and market elasticities all can vary. Experiments reveal the dynamic behavior of the model varies quite sharply with all these factors. Forward forecasting by agents leads to stability, while myopic behavior promotes oscillations. Oscillations are also much more likely when supply is more elastic than demand, development lags are long, and asset durability is low.     

Subprime Lending and Real Estate Prices

This article establishes a theoretical and empirical link between the use of aggressive mortgage lending instruments, such as interest‐only, negative‐amortization or subprime mortgages, and the underlying house prices. Such instruments, which come into existence through innovation or financial deregulation, allow more borrowing than otherwise would occur in previously affordability‐constrained markets. Within the context of a model with an endogenous rent‐buy decision, we demonstrate that the supply of aggressive lending instruments temporarily increases the asset prices in the underlying market because agents find it more attractive to own or because their borrowing constraint is relaxed, or both. This result implies that the availability of aggressive mortgage lending instruments magnifies the real estate cycle and the effects of fundamental demand shocks. We empirically confirm the predictions of the model using recent subprime origination experience. In particular, we find that regions that receive a high concentration of aggressive lending instruments experience larger price increases and subsequent declines than areas with low concentration of such instruments. This result holds in the presence of various controls and instrumental variables.     

论房产税改革对房地产市场的调控效应

房地产业是我国的新兴产业,但目前的房地产市场呈现出市场失灵现象。基于房地产市场本身所固有的特性,文章认为,通过对房产税的改革,可以有效地调控房地产市场,为房地产市场持续、健康、有序、均衡地发展创造良好的环境。     

Forecasting the Discounts of Market Prices from Appraised Values for Real Estate Limited Partnerships

A vexing problem for the appraisal industry has been estimating an appropriate discount for the value of real estate limited partnerships (RELPs) relative to their appraised value. This research develops a linear regression model that explains over 80% of the cross-sectional variation in discounts across 60 RELPs using characteristics of each partnership. Among a holdout sample of 41 RELPs, the model provides forecasts of discounts that are superior to assuming no discount or applying a mean discount to all partnerships. Discounts are greatest for RELPs with low current yields, low leverage and high trading ranges for their market prices.     

Market Microstructure and Real Estate Returns

This paper examines the Real Estate Investment Trust (REIT) market microstruc-ture and its relationship to stock returns. When compared with the general stock market, REIT stocks tend to have a lower level of institutional investor participation and are followed by fewer security analysts. In addition, REIT stocks that have a higher percentage of institutional investors or are followed by more security analysts tend to perform better than other REIT stocks. Our results seem to confirm Jensen's ( 1993 , p. 868) proposition that ownership structure (that is, who owns the firm's securities) affects the value of the firm. Our findings also have implications about the well documented phenomenon that the financial performance of Commingled Real Estate Funds (CREFs) is better than that of REITs.     

100 Years of Commercial Real Estate Prices in Manhattan

This article is able to put together a database of 86 repeat-sales transactions for office properties in lower and midtown Manhattan spanning the years from 1899 to 1999. Using this very limited database, decade-interval changes in real property prices are estimated—with varying degrees of precision. Our conclusions are two fold. First, adjusting for inflation, commercial office property values were 30% lower in 1999 than they were in 1899. Second, within any decade values often rise and fall by 20–50% in real terms. With these results, the long-term historic return to New York commercial property must mostly comprise yield with capital gains limited to general inflation. Other historical studies consistent with this conclusion are reviewed.     

The Housing Market and Real Estate Brokers

The major development in this paper concerns the failure, in earlier studies, to consider interaction between alternative methods of arranging sales in the housing market. A seller may market a house by direct negotiations with buyers, without the intermediation of real estate brokers, or by listing the house with a broker. A rational seller would choose the option which offers the higher expected return on the house. In a sequence of models we argue that the seller's option of a method of sale induces competitive pressure in the choice of the commission rate by the broker. We also consider the split rate in a multiple listing system, ease of entry of brokers and the cartel hypothesis as applied to brokers. We conclude that the competitive pressure of direct negotiations between sellers and buyers, relative free entry of brokers and the inappropri-ateness of the cartel hypothesis cast serious doubt about a general consensus of opinion that the brokerage system is characterized by price fixing, excessive commissions and excessive marketing costs.     

The Real Estate Brokerage Market: A Critical Reevaluation

This paper presents an analysis of the theories and evidence regarding the structure and performance of the market for real estate brokerage services. Some of the theoretical models found in the literature appear to suffer from logical inconsistencies, while others lack empirical support for their underlying assumptions and/or their predictions of market inefficiencies. Moreover, several important legal and institutional changes that have occurred recently have not been given sufficient attention in the existing literature.
Although some new evidence on this market is presented here, additional empirical research is warranted in at least two areas: the current pricing structure and the underlying production and cost functions of the real estate brokerage industry.     

Illiquidity and Pricing Biases in the Real Estate Market

This article addresses the micro-analytic foundations of illiquidity and price dynamics in the real estate market by integrating modern portfolio theory with models describing the real estate transaction process. Based on the notion that real estate is a heterogeneous good that is traded in decentralized markets and that transactions in these markets are often characterized by costly searches, we argue that the most important aspects defining real estate illiquidity in both residential and commercial markets are the time required for sale and the uncertainty of the marketing period. These aspects provide two sources of bias in the commonly adopted methods of real estate valuation, which are based solely on the prices of sold properties and implicitly assume immediate execution. We demonstrate that estimated returns must be biased upward and risks downward. These biases can be significant, especially when the marketing period is highly uncertain relative to the holding period. We also find that real estate risk is closely related to investors' time horizons, specifically that real estate risk decreases when the holding period increases. These results are consistent with the conventional wisdom that real estate is more favorable to long-term investors than to short-term investors. They also provide a theoretical foundation for the recent econometric literature, which finds evidence of smoothing of real estate returns. Our findings help explain the apparent risk-premium puzzle in real estate—that is, that ex post returns appear too high, given their apparent low volatility—and can lead to the formal derivation of adjustments that can define real estate's proper role in the mixed-asset portfolio.     

Concentration and Market Structure in Local Real Estate Markets

The competitiveness of the residential real estate brokerage industry has attracted much attention. Anecdotal evidence suggests some local markets are concentrated, yet no systematic market structure study has been conducted. We collected cross‐sectional data on real estate brokers in 90 diverse markets across the United States and collected longitudinal data for Louisville, Kentucky. In medium and large markets, no evidence exists that market concentration might create problems for competition. Small markets, on average, have higher Herfindahl‐Hirschman Indexes than medium and large markets. The longitudinal data reveal that many small brokers sell a house or two one year and none the next year.     

Real Estate Prices During the Roaring Twenties and the Great Depression

Using new data on market‐based transactions we construct real estate price indexes for Manhattan between 1920 and 1939. During the 1920s prices reached their highest level in the third quarter of 1929 before falling by 67% at the end of 1932 and hovering around that value for most of the Great Depression. The value of high‐end properties strongly co‐moved with the stock market between 1929 and 1932. A typical property bought in 1920 would have retained only 56% of its initial value in nominal terms two decades later. An investment in the stock market index (including dividends) would have outperformed an investment in a typical property (including net rental income) by a factor of 5.2 over our time period.     

Market Share in the Real Estate Brokerage Industry

This paper is concerned with the factors that determine the market share of listings and the market share of sales for brokerage firms. Models are developed and tested in a SMSA that conveniently corresponds exactly to a particular Multiple Listing Service area. Indices of firm specialization and market concentration were computed in addition to more conventional characterizations of the market and the data used in the study.
The regression results reveal a small degree of consistency in the impacts of the explanatory variables over the two years of the study and over the listing and sales markets. The number of salespeople is the most consistently significant variable. Indeed, market share per salesperson appears to be a non-monotonic function of the number of salespeople. The presence of a franchise and the quantity of display advertising are occasionally significant. Classified advertising, Yellow Pages advertising, and open houses all do not significantly affect market share per salesperson.     

哈尔滨市房地产市场供求分析

首先对哈尔滨市住宅价格进行了预测分析,然后通过利用房地产市场非均衡分析的最小原则模型对哈尔滨市房地产市场进行了非均衡分析,得出了市场有效供求与实际交易量的关系,计算了房地产市场的非均衡度,并探讨了导致哈尔滨市房地产市场非均衡的原因。     

Market Mechanism Choice and Real Estate Disposition: Search Versus Auction

We propose a model of mechanism choice in the disposition of real estate assets where we consider two alternatives: a search market and an auction. Within the search framework, we derive an equilibrium whereby buyers incur search costs and sellers incur holding costs for the period during which the property is not sold. In the auction alternative, the seller joins an existing pool of sellers in undertaking a multiple–object auction and pays a commission upon sale. Buyers and sellers freely choose their mechanisms, which in equilibrium are optimal given each group's conjectures about the mechanism choice of their counterpart. In equilibrium, an agent cannot benefit from deviating from his choice and each agent's beliefs are consistent with the equilibrium outcome. It is shown that (a) buyers with high search costs will choose auctions because the auction payoff imposes an upper bound on buyers' gains from search, and (b) prices at auctions will be higher. Using vacant lot sales data and a method–of–moment estimator which accounts for the presence of an endogenous discrete mechanism choice variable, we estimated a hedonic regression to detect the price effect. It was determined that, on average, lots sold for $1.44 per square foot more in auctions than in the search market, as predicted by our model.     

Real Estate Brokers and the Market for Residential Housing

This study explores the role of the real estate broker in the housing market. A model of the demand for broker services by both sellers and buyers is developed and conditional logit estimates are presented. Evidence relating to the effects of the brokerage industry on housing market transactions also is presented. Brokers do not seem to affect the prices of the houses they sell. But they do influence the level of housing consumption by buyers.     

Non-Uniform Percentage Brokerage Commissions and Real Estate Market Performance

The effect of non-uniform commissions on the market duration of residential properties is ambiguous. While the broker's search effort is positively related to the size of the percentage commission, so is the seller's reservation price. Each of these relationships imply a time-on-market effect in the opposite direction of the other. A powerful statistical technique, survival regression, is employed to determine which relationship dominates. Because the probability that a property will sell at any given point in time is inversely related to the size of the percentage commission, we conclude that the negative search effects associated with low commission rates are more than offset by the positive reservation price effects.     

The Effects of the Real Estate Crisis on Institutional Stock Prices

This article investigates the contagious movement of financial institutions' common stock prices in response to real estate news. The basic hypothesis is that because real estate assets are traded infrequently, the market has incomplete information about their true value. The stock price reaction by banks, thrifts and insurance companies to announcements of poorly performing real estate portfolios is studied. Consistent with the hypothesis, significantly negative reactions obtain, both within and across industries, to these announcements. Reflecting the differential regulatory environment and disclosure policies, insurance companies, in general, react more strongly to adverse real estate news. Also, the price reaction of an individual firm is significantly associated with the level of its real estate exposure.     

Appraisal-Based Real Estate Returns under Alternative Market Regimes

In this article we use Monte Carlo simulation to study the statistical properties of real estate returns. We set up a model where transactions prices are noisy signals of true prices. We then consider a number of appraisal rules, derived from Bayesian and non-Bayesian theory, to estimate the current true price and rate of return. The class of exponential smoothing and Kalman filter rules perform well at both the disaggregate (returns on an individual property) and aggregate (returns on a real property portfolio) levels. A special case of exponential smoothing (α= 1.0) places all weight on current market data. Since this case eliminates smoothing, our results suggest that appraisers should place all weight on current data (no weight on past data) provided that they want to estimate returns rather than values. However, these results should be used with caution if sales prices are very noisy.