A Model of Time‐on‐Market and Real Estate Price Under Sequential Search with Recall

This article develops a model and provides a closed‐form formula to uncover the theoretical relationship between real estate price and time on market (TOM). Our model shows a nonlinear positive price‐TOM relationship, and it identifies three economic factors that affect the impact of TOM on sale price. We demonstrate that conventional metrics for real estate return and risk, which are borrowed in a naïve fashion from finance theory, do not account for marketing period risk and tend to overestimate real estate returns and underestimate real estate risks. Our model provides a simple way to correct such bias. This theory helps to explain the apparent “risk‐premium puzzle” in real estate.     

Time and Risk Diversification in Real Estate Investments: Assessing the Ex Post Economic Value

Welfare gains to long-horizon investors may derive from time diversification that exploits nonzero intertemporal return correlations associated with predictable returns. Real estate may thus become more desirable if its returns are negatively serially correlated. While it could be important for long-horizon investors, time diversification has been mostly investigated in asset menus without real estate and focusing on in-sample experiments. This article evaluates, ex post, the out-of-sample gains from diversification when equity real estate investment trusts (REITs) belong to the investment opportunity set. We find that diversification into REITs increases both the Sharpe ratio and the certainty equivalent of wealth for all investment horizons and for both classical and Bayesian (who account for parameter uncertainty) investors. The increases in Sharpe ratios are often statistically significant. However, the out-of-sample average Sharpe ratio and realized expected utility of long-horizon portfolios are frequently lower than that of a one-period portfolio, which casts doubt on the value of time diversification.     

Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values

This study investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price differences between certified and noncertified buildings. These are additional occupier benefits, lower holding costs for investors and a lower risk premium. Drawing upon the CoStar database of U.S. commercial real estate assets, hedonic regression analysis is used to measure the effect of certification on both rent and price. The results suggest that, compared to buildings in the same submarkets, eco‐certified buildings have both a rental and sale price premium.     

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.     

Another Take on Real Estate's Role in Mixed‐Asset Portfolio Allocations

This article examines real estate's role in institutional mixed‐asset portfolios using both private‐ and public‐real estate indices, as a means of examining varying real estate‐related risk/return opportunities. In so doing, this article also examines the effects of: (1) increasing the investment horizon, (2) placing constraints on the maximum allocation to any one asset class, and (3) varying the risk preferences of investors. The empirical results suggest—using infinite‐horizon returns and all of the caveats that accompany such a perspective—that real estate allocations of approximately 10–15% of the mixed‐asset portfolio represent an upper bound for most investors. For those investors preferring low‐risk portfolios, (unlevered) private real estate is the vehicle serving this allocation preference; for those investors preferring high‐risk portfolios, public real estate (with its embedded leverage of 40–50%) is the vehicle serving this allocation preference—with such vehicles serving as substitutes for a variety of noncore real estate strategies. In some sense, the distinction between private and public real estate is more about the use of leverage. For those investors preferring moderate‐risk portfolios, an intermediate‐leverage approach seems optimal.     

Real Estate in a Mixed‐Asset Portfolio: The Role of the Investment Horizon

In this article, three oft‐mentioned special characteristics of the real estate asset market—high transaction costs, marketing period risk and return predictability—are addressed in analyzing the role of U.K. commercial real estate investments in a mixed‐asset portfolio. Due to favorable horizon effects in risk and return, the allocation to real estate in a portfolio with stocks, bonds and cash increases strongly with the investment horizon. Examining the relative importance of return predictability, transaction costs and marketing period risk for the optimal allocation to real estate, the article finds that the consideration of return predictability is very important, except for short‐term horizons. Accounting for transaction costs is crucial for short‐ and medium‐term investors. Marketing period risk appears to be negligible. Traditional mean‐variance analysis—that is, ignoring return predictability, transaction costs and marketing period risk—can be very misleading.     

A Test of a Buying Rule for "Underpriced" Apartment Buildings

Apartment-building repeat-sales data are used to test a trading rule. Property values are estimated through regression; if the actual price is less than the estimated value, the property may be "undervalued." Returns are calculated for these "undervalued" properties and adjusted for risk using the Sharpe ratio. A test is done of whether these ratios are significantly different for different portfolios. The "undervalued" properties have higher appreciation returns, but once these are adjusted for risk, the differences in returns are not significant. The paper contributes to the real estate efficiency literature and suggests a workable method for comparing the performance of real estate portfolios on a risk-adjusted basis.     

The Sources of Risk Spillovers among U.S. REITs: Financial Characteristics and Regional Proximity

In this article, we estimate the risk spillovers among 74 U.S. Real Estate Investment Trusts (REITs) using the state‐dependent sensitivity value‐at‐risk approach. This methodology allows for the quantification of the spillover size as a function of a company's financial condition. We show that the size of risk spillovers is more than twice as large when REITs are in financial distress and find evidence for the impact of geographical proximity. Our results provide new insights concerning the relevance of geographical diversification for REITs and have important implications for the investment and risk management decisions of real estate investors, mortgage lenders, home suppliers and policy makers.     

Uncertainty premia in REIT returns

We provide a systematic study of how financial and real estate uncertainty affect the aggregate return performance of the U.S. REIT market from 1994 to 2017. A temporal causality analysis reveals a negative uncertainty impact on REIT returns. The asset pricing analysis confirms the predictive relation and suggests that REITs are statistically significantly exposed to changes in market-wide uncertainty, for which investors require a return compensation. We also identify economic state variables to explain time-varying uncertainty exposures as well as periodic hedging characteristics of REITs. Finally, we find evidence that the source of uncertainty matters for compensating expected REIT returns.     

REIT and Commercial Real Estate Returns: A Postmortem of the Financial Crisis

In the years surrounding the financial crisis, the share prices of equity Real Estate Investment Trusts (REITs) were much more volatile than the underlying commercial real estate prices. To better understand this phenomenon we examine the cross‐sectional dispersion of REIT returns during this time period with a particular focus on the influence of their capital structures. By looking at both the debt ratio and the maturity structure of the debt, we separate the pure leverage effect from the effect of financial distress. Consistent with leverage and financial distress costs amplifying the price decline, we find that the share prices of REITs with higher debt‐to‐asset ratios and shorter maturity debt fell more during the 2007 to early‐2009 crisis period. Although REIT prices rebounded with the bounce back in commercial real estate prices, financial distress costs had a permanent effect on REIT values. In particular, we find that REITs with more debt due during the crisis period tended to sell more property and issue more equity in 2009, when prices were depressed.     

Capital Structure Decisions in Real Estate Investment

This study examines the financing decisions of real estate investors and the choice of capital structure when acquiring income-producing properties. Drawing from the literature in finance and real estate, we develop a capital structure model for real estate investment and derive six hypotheses regarding the relationship of the overall loan-to-value ratio chosen by an investor to selected characteristics of the investment. The hypotheses are then tested using financing data from a sample of apartment and commercial transactions over a fifteen-year period in a specific real estate market. The empirical findings strongly support the importance of depreciation deductions, financial distress costs, capital constraints, tax rates, and interest rates as determinants of the capital structure of real estate investors.     

Global Financial Integration and Real Estate Security Returns

Have globalization and increasing economic and financial integration affected the rates of return of publicly traded real estate companies around the world? Using a set of multifactor models for annual data for 946 firms from 16 countries over the sample period, 1995–2002, we estimate the impact of a country's economic openness on returns of publicly traded real estate firms, controlling for the effects of global capital markets, domestic macroeconomic conditions and firm‐specific variables. We find that a country's real estate security excess (risk‐adjusted) returns are negatively related to its openness. The results are robust across different multifactor model specifications and are a testament to increasing global financial integration and its interplay with the real estate sector.     

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.     

Real Estate in an ALM Framework: The Case of Fair Value Accounting

This study examines the liability hedging characteristics of both direct and indirect real estate with the advent of fair value accounting obligations for pension funds. We explicitly model pension obligations as being subject to interest and inflation risk to analyze the ability of real estate investments in hedging the fair value of pension liabilities and to quantify its role in an asset liability management (ALM) portfolio. We find that the portfolio composition differs depending on the definition of liability return. When liability returns solely follow actuarial changes, the mean‐variance efficient portfolio allocations toward direct real estate and fixed income decrease compared to the asset‐only optimization. When accounting for nominal liability obligations, real estate offers hedging benefits against interest rates for short holding periods but not for long‐term institutional portfolios. The inclusion of inflation risk renders a limited role for direct real estate in an ALM portfolio, while indirect real estate obtains no allocation. Inflation is at the heart of the discrepancy between reported and predicted pension plan allocations. Once accounting for inflation, the projected allocations come close to reported ones.     

基于中国市场的房地产期权研究

面对日渐繁荣的中国房地产市场,房价涨幅过快、过高已经是一个不容回避的问题。房地产期权作为一种创新型投资理财工具,在欧美和亚洲金融衍生品市场几乎完全空白,能够有效对冲房价过快上涨的风险,改变中国购房者传统购房观念,间接缓解房地产价格过快上涨的压力。本文基于中国市场对以房地产价格为标的物的期权产品进行研究,以西安市房地产市场为例进行模拟分析,结果表明,房地产期权可以满足普通购房者对冲房价过快上涨的避险需求,转变传统购房观念,缓解短期购房压力,降低房地产市场的整体风险,在一定程度上促进房地产市场平稳有序的发展,具有十分显著的现实应用价值。     

Return Risk and Cash Flow Risk with Long-term Riskless Leases in Commercial Real Estate

This paper presents a conceptual analysis of some of the key fundamentals that underlie the risk characteristics of commercial real estate returns. In particular, the relationship between the property's return risk and its cash flow risk is explored. This relationship is important because it is the return risk that should matter most to investors, yet it is the cash flow risk or market risk about which we may have the most objective information and the most intuition. This is because real estate assets are generally unsecuritized and trade too infrequently to observe time series of returns (including appreciation) that could be used to directly study the risk characteristics of the returns. By explicitly incorporating the possibility of cash flows governed by riskless long-term leases, this paper also explores the relationship between lease term and both cash flow risk and return risk.     

Real Estate Fund Openings and Cannibalization

This article examines the trade‐offs in launching new real estate funds, specifically open‐end, direct‐property funds. This investment vehicle, which is designed to provide the risk‐return benefits of private market real estate, is available to retail investors in a number of countries. At the same time, these funds are also subject to liquidity risk, because they hold an inherently illiquid asset in an open‐end structure. This format presents fund‐family managers with unique challenges, particularly with the decision to open new funds. The data consist of 2,127 German fund openings across 76 fund families in 12 asset classes over the 1992–2010 period. Including a wide range of asset classes allows for a comparison between real estate and other investment objectives. We find a substantial cannibalization effect across the existing real estate funds of a family, while we note the opposite effect—i.e., flows into existing funds increase following a fund opening within the same objective—for all other asset classes. Our analysis of fund opening determinants shows that inflows mitigate the cannibalization risk for new real estate funds. Additional evidence highlights the role of scale and scope economies in real estate fund openings. Overall, the results provide new insights into the relatively large size and small number of real estate funds when compared to mutual funds dedicated to other investment objectives.     

Currency Swaps and International Real Estate Investment

This paper examines the efficacy of currency swaps as a hedging mechanism for the exchange rate risk associated with foreign investment in real estate. Earlier studies have concentrated on short-term hedging instruments such as options and forward contracts. Currency swaps are better suited for use on investments with long-term holding periods such as real estate. The findings indicate that, although hedging United States real estate investments with currency swaps suppresses most of the risk induced by currency instability, the improvements are insufficient to produce diversification gains for foreign investors in the context of mean-variance portfolio performance.     

Optimal Selling Mechanism,Auction Discounts and Time on Market

This article examines the optimal selling mechanism problem in real estate market using mean‐variance analysis and downside risk analysis. When sellers can choose between accepting the first offer above a reservation price or auctions (waiting an optimal and fixed time), sellers having higher risk aversion choose auctions and wait a fixed time while sellers having lower risk aversion choose an optimal reservation price and wait a random time. Positive auction discounts are compensated by reduced risks, and there exists a connection between liquidity risk and conditional auction discount. More (Fewer) sellers will choose to sell their houses through auctions in a hot (cold) market or when holding cost increases (decreases). When sellers choose auctions, sellers having higher risk aversion who have lower holding cost wait longer and obtain higher sale price. Loss‐averse sellers unanimously choose the mechanism of setting an optimal reservation price.     

The Role of Uncertainty in Investment: An Examination of Competing Investment Models Using Commercial Real Estate Data

Neoclassical investment decision criteria suggest that only the systematic component of total risk affects the rate of investment, as channeled through the built-asset price. Alternatively, option-based investment models suggest a direct role for total uncertainty in investment decisionmaking. To sort out uncertainty's role in investment, we specify and empirically estimate a structural model of asset-market equilibrium. Commercial real estate time-series data with two distinct measures of asset price and uncertainty are used to assess the competing investment models. Empirical results generally favor predictions of the option-based model and hence suggest that irreversibility and delay are important considerations to investors. Our findings also have implications for macroeconomic policy and for forecasts of cyclical investment activity.