The Effect of Alternative Return Measures on Restricted Mixed-Asset Portfolios

A restricted portfolio is constructed which includes NYSE common stocks, corporate bonds, government bonds, small capitalization common stocks, residential real estate and farmland and returns for each of four different tax brackets (0%, 15%, 30%, 45%). Next, three alternative measures of rates of return for residential real estate and farmland are used. Finally, since some researchers believe that standard risk measures (variance and standard deviation) do not capture the total risk in real estate, the risk for the real estate returns is increased five times while the returns are held constant. The twenty–four optimal portfolios (four tax brackets with two measures of risk and three measure of return for residential real estate and farmland) are then derived. These results are then compared and contrasted to each other to ascertain the change in sensitivity of the optimal portfolios due to different tax rates, different rates–of–return estimates and different risk estimates.     

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 Investment Funds: Performance and Portfolio Considerations

This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of returns from two of the oldest, continuously operating commingled real estate funds (CREFs), questions relative to investment performance, inflation hedging attributes and diversification benefits are addressed. The methodology used in exploring these issues are variants of the traditional capital asset pricing model (CAPM), extended to consider uncertain inflation (CAPMUI) and an arbitrage pricing model in which real estate performance is judged relative to a more inclusive market index representing larger numbers of substitute investments. Finally, issues relative to portfolio performance are considered by constructing portfolios containing all possible combinations of real estate, stocks and bonds to assess the potential for diversification benefits and portfolio performance.     

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.     

Yet Another View on Why a Home Is One's Castle

We compute equity-based real after-tax rates of return for homeowners and landlords in the United States for 1952–2005. The study confirms that a combined aggregate for residential housing provides a high average net return and low volatility, has low correlation with financial assets and can provide hedge against inflation. The efficient frontier analysis shows that the optimal portfolio for a household with a coefficient of relative risk aversion of four to five is one which contains a bit larger amount of housing than stocks, close to what one observes in the real world.     

Real Estate Investment Acquisition Rules for Life Insurance Companies and Pension Funds: A Survey

Real estate comprises the major wealth of the United States as well as the world. Life insurance companies and pension funds are rapidly becoming major investors in real estate due to their large portfolios and annual cash inflows. Aggregate inflows of life insurance companies and pension funds are estimated to be about 150 billion dollars per year. Increasing amounts of these funds are believed to be going into real estate investments. This study surveys life insurance companies and pension managers on all facets of their real estate investments. The survey covers real estate portfolio size and type, portfolio composition, investment by property type, international investments, before-tax analysis, after-tax analysis, diversification strategies, computer usage, holding period assumptions and criteria for obtaining mortgages, equity positions and construction loans. The results of this study are then compared and contrasted with previous studies.     

A Comparison of the Recent Performance of Publicly Traded Real Property Portfolios and Common Stock

In this study we compare the returns earned by investments in publicly traded limited partnerships (PTLPs), finite life equity REITs, and traditional equity REITs with those resulting from investing in common stocks (proxied by closed-end mutual funds). Performance comparisons are made using generalized stochastic dominance (GSD). This tool avoids the joint hypothesis problem that arises when an asset pricing model is used as a performance benchmark. The results of the analysis indicate that the performance of the closed-end mutual funds was preferred to that of the individual equity REITs (both traditional and finite life) and PTLP securities by a wide array of risk-averse investors. This result was most pronounced following the passage of the Tax Reform Act of 1986 which severely restricted the tax deductibility of real estate losses. When the equity REITs were combined into portfolios, their performance dominated the mutual funds during the 1980–85 period. Further, the PTLP portfolio returns were preferred to several of the mutual funds even in the post-1985 period. These findings reflect the fact that the securitized real property portfolios studied are not as well diversified as mutual funds. However, the mutual funds remained the dominant investment alternative in the post-1986 period.     

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 Note on Inflation and Relative Tenure Prices

This article develops a simplified model of housing costs to analyze the effects of the expected rate of inflation on residential tenure choice. Inflation, working though the Federal Tax Code, affects a number of the components of housing costs in ways which vary between tenure modes. On net, the tax subsidy to owner-occupancy is more positively leveraged with respect to expected inflation than are tax preferences for rental residential real estate. In fact, it is likely that higher expectations of inflation will reduce the after-tax cost of owner-occupied housing.     

Do Common Risk Factors in the Returns on Stocks and Bonds Explain Returns on REITs?

The monthly returns on equity and mortgage real estate investment trusts (REITs) are analyzed over the period July 1976 to December 1992. The results indicate that risk premiums on equity REITs are significantly related to risk premiums on a market portfolio of stocks as well as to the returns on mimicking portfolios for size and book-to-market equity factors in common stock returns. Mortgage REIT risk premiums are significantly related to the three stock market factors and two bond market factors in returns. Also, mortgage REIT shares underperform by an average of 6.8% per year.     

The Role of Real Estate in the Portfolio Allocation Process

This study explores the role of direct real estate investment in a portfolio context incorporating the real estate imperfections of indivisible assets and no short sales. Mean-variance efficient portfolios are calculated using Treasury-bills, bond and equity indices together with cash flows and appraised values from a set of twenty-two properties having an aggregate appraised value of $336 million. Real estate diversification benefits are shown to be the greatest with smaller properties and are most advantageous at higher target levels of return. The study suggests that a 9% allocation to real estate is optimal, rather than the 20% figure suggested in other studies.     

The Investment Performance of Real Estate Limited Partnerships

Real estate limited partnerships have become an increasingly popular form of investment over the past decade. Many investors have been drawn to these investment vehicles because of the high claimed rates of return earned by investors in previous partnerships. However, there has been little analysis of the historical rates of return on these investments other than that provided by the syndicators in offering prospectuses. This paper examines the returns earned by investors in real estate limited partnerships over the past decade. These results are compared with previous studies of the investment performance of real estate. Because of the importance of the tax shield aspects of these investments, we calculate the after-tax rate of return for investors in several marginal tax brackets.     

A Different Look at Commercial Real Estate Returns

Commercial real estate makes up a relatively small percentage of most institutional portfolios, even though the existing literature has consistently reported attractive risk-return characteristics that would suggest much larger allocations. This discrepancy has been explained by a perceived lack of comparability between return series calculated for real estate and those calculated for other asset classes. Just as investors actively involved in the futures markets do not consider individual common stocks to be traded continuously, those active in the stock market do not consider real estate to be traded continuously. In both cases, adjustments to reported returns are necessary to achieve a degree of comparability. This study makes such adjustments, using sales data from properties that help comprise the National Council of Real Estate Investment Fiduciaries / Frank Russell Company (NCREIF/FRC) Index to generate a "transaction-driven" commercial real estate return series. Examination of the risk-return characteristics of this series shows that it is quite different from traditionally reported real estate return series and far more consistent with risk-return characteristics that have been reported for other asset classes.     

Transactions-Driven Commercial Real Estate Returns: The Panacea to Asset Allocation Models?

A transactions-driven commercial real estate return series is generated in this study to determine whether the reliance on appraised values in the estimation of real estate returns is the source of the reported underpricing of real estate relative to stocks, bonds, and bills when analyzed in a traditional mean-variance setting. The reported underpricing of commercial real estate would be rational if transactions-driven returns exhibit more variance than appraisal-driven returns. While we find that transactions-driven real estate returns have greater variance than appraisal-driven returns for individual properties, most of the individual property risk is idiosyncratic and diversified away at the portfolio level. Real estate continues to be a dominate asset class in mean-variance allocation models even when represented with transactions-driven indices.¹     

On the Portfolio Properties of Real Estate in Good Times and Bad Times1

Motivated by the theoretical results on strategic asset allocation, we examine the gains in portfolio performance when investors diversify into different asset classes, with particular focus on the timeliness of such gains. Although the various asset classes we analyze yield significant gains in portfolio performance, even in the presence of short‐sales constraints, the timeliness of the gains differs considerably across the asset classes. Our key result is that real estate and commodities and precious metals are the two asset classes that deliver portfolio gains when consumption growth is low and/or volatile, that is, when investors really care for such benefits. Our analysis highlights an important metric by which to judge the attractiveness of an asset class in a portfolio context, namely the timeliness of the gains in portfolio performance. Further, our results on the performance of real estate in both good times and bad times suggest that the typical institutional allocation to real estate may underweight the role of the asset class in a diversified portfolio context.     

The Integration of Commercial Real Estate Markets and Stock Markets

This paper tests whether commercial real estate markets (both exchange-traded and non-exchange-traded) are integrated with stock markets using multifactor asset pricing models. The results support the hypothesis that the market for exchange-traded real estate companies, including REITs, is integrated with the market for exchange-traded (non-real-estate) stocks. Moreover, the degree of integration has significantly increased during the 1990s. However, when appraisal-based returns (adjusted for smoothing) are used to construct real estate portfolio returns, the results fail to support the integration hypothesis, although this may reflect the inability of these estimated private market returns to accurately proxy for commercial real estate returns. Interestingly, the growth rate in real per capita consumption is consistently priced in both commercial real estate markets and stock markets, whereas previous studies have found mixed evidence on the role of consumption in explaining ex ante stock returns.     

Returns and Information Transmission Dynamics in Public and Private Real Estate Markets

This paper examines U.S. public and private commercial real estate returns at the aggregate level and by the four major property types over the 1994–2012 time period. Returns are carefully adjusted for differences between public and private markets in financial leverage, property type focus and management fees. Unconditionally, we find that passive portfolios of unlevered core real estate investment trusts (REITs) outperformed their private market benchmark by 49 basis points (annualized) over the 1994–2012 sample period. Our baseline vector autoregression results suggest that REIT returns do not embed additional commercial real‐estate‐specific information useful in predicting private market returns. These results strongly suggest that equity REIT returns react to fundamental (latent) asset pricing information more quickly than private market returns given their greater liquidity and price revelation. REITs therefore serve as a fundamental information transmission channel to private market returns when asset pricing variables are omitted.     

Institutional Investors' Preferences for REIT Stocks

This article investigates the determinants of real estate investment trusts (REIT) portfolio investment and institutional REIT ownership using multivariate Tobit regressions. We contend that many institutional investors take larger positions in more liquid assets like REIT stocks, as compared with private real estate equities, because of liquidity considerations. Consistent with this contention, we find that liquidity constraints are significantly related to REIT portfolio investment by institutional investors. We also find that institutional investors have different preferences for REIT stocks than do other investors; they generally prefer larger, more liquid REIT stocks.     

Institutional Portfolios: Diversification through Farmland Investment

This article demonstrates that farmland can enhance the overall performance of institutional portfolios which are currently dominated by stocks, bonds, and business real estate. Unlike previous articles on farmland returns, this article addresses the issue of "smoothing bias" associated with appraisal-based farmland returns. Improved measures of income returns to farmland are also used in developing the estimates of optimal portfolios. Parametric testing revealed that farmland continues to enter the optimal portfolios even for large increases in the variance or for large reductions in the annual returns to farmland.     

房地产的虚拟性与宏观经济稳定

本文从虚拟经济的角度深入剖析了房地产的虚拟资产特性，指出房地产是一种虚拟资产．房地产这种虚拟资产的特性是其虚拟性介于普通商品和金融资产之间。文章同时指出．正是房地产的这种虚拟资产特性使其成为联系实体经济和虚拟经济的纽带。除了扰动作用以外，房地产更能起到稳定经济的作用。这表现在两个方面：一方面。与金融资产相比．房地产价格具有相对的稳定性．这使其成为商业银行发放贷款的重要的抵押品；另一方面，房地产价格的长期稳定增长对货币发行量的稳定增长有重要影响。可见，房地产的虚拟资产特性对于银行贷款和货币供给的稳定增长．从而对整个经济的稳定增长具有重要意义。