The nature of listed real estate companies: property or equity market?

This paper addresses the question of whether shares of public real estate companies should be treated as real estate or as equity investments. Because theoretical considerations do not suffice for making such a classification, we empirically investigate correlation structures and cointegration relationships of private and public real estate and equity markets for the United States and the United Kingdom. Our results suggest that public real estate stocks show similarities to the general stock market with regard to short-term return co-movements. For long-term investment horizons, the interdependence between direct and securitized real estate is much stronger. However, in the latter case, real estate stocks substantially lead the private property markets.

Real Estate Risk Exposure of Equity Real Estate Investment Trusts

This study examines the linkage between equity real estate investment trust (REIT) returns and the private real estate factor. The results reveal a tighter connection between REIT and the private real estate market starting from 1993. In addition, large-cap REITs seem to behave more like real estate than do small-cap REITs. Overall, the results are consistent with three notions: (1) that institutional investors provide information-gathering services (Bradrinath et al., Rev. Financ. Stud., 8:401–430, 1995), (2) that a more sophisticated investor base improves information flow, and (3) that a high degree of participation from institutional investors strengthens the linkage between REIT returns and the underlying real estate factor (Ziering et al., The evolution of public and private market investing in the new real estate capital markets, Prudential Real Estate Investors, Parsippany, NJ, 1997).

Mispricing and the cross-section of stock returns

This paper employs the Campbell-Shiller (Rev Financ Stud 1:195–228, 1988) VAR model to derive a model-based mispricing measure that captures investor overreaction to growth. Using this mispricing measure, we find that stocks with low levels of mispricing outperform otherwise similar stocks. The long–short mispricing strategy generates statistically and economically significant returns over the sample period of July 1981 to June 2006. Moreover, this mispricing strategy outperforms the contrarian strategy using various accounting-fundamental-to-price ratios. Our results cast doubt on the risk story in explaining the abnormal returns of the mispricing strategy. Rather, our evidence suggests that asset prices reflect both covariance risk and mispricing.

Correlation and Volatility Dynamics in International Real Estate Securities Markets

We study international correlation and volatility dynamics of publicly traded real estate securities using monthly returns from 1984 and 2006. We also examine, for comparison, the correlations among the corresponding stock markets. A multivariate dynamic conditional correlation model captures the time-varying correlation within the full period. We confirm lower correlations between all real estate securities market returns than those between the stock market returns themselves. Some significant variations and structural changes in the correlation structure happened within the sample period. We detect a strong and positive connection between real estate securities market correlations and their conditional volatilities. We also find the international correlation structure of real estate securities and the broader stock market are linked to each other. Our results have economic motivations regarding the potential integration of international real estate securities markets and the possibility of including information on changing correlations and volatilities to design more optimal portfolios for international real estate securities.

Office Construction in Singapore and Hong Kong: Testing Real Option Implications

We advance the real-option-based empirical analysis of commercial real estate investment in three respects. First, we test several real option implications for real estate construction that have not been examined in the commercial real estate investment literature. In particular and in line with the predictions of real option models, we show that the effects of real interest rate and the expected demand growth on hurdle rent become more negative when the market volatility is greater. Second, we use a cointegrating vector of office employment and office stock to provide a better control of the demand for new construction than traditional indicators based on real estate prices and vacancy rates. Third, whereas the existing studies focus on the U.S. commercial real estate markets, we study two major office markets in Asia, namely Singapore and Hong Kong. We rely on the local stock market in the two city states to derive forward-looking measures of office demand growth expectations.

The Inflation Hedging Characteristics of US and UK Investments: A Multi-Factor Error Correction Approach

Historic analysis of the inflation hedging properties of stocks has produced anomalous results, with stocks often appearing to offer a perverse hedge. This has been attributed to the impact of real and monetary shocks to the economy, which influence both inflation and asset returns. It has been argued that real estate should provide a better hedge: however, empirical results have been mixed. This paper explores the relationship between commercial real estate returns and economic, fiscal and monetary factors and inflation for US and UK markets. Comparative analysis of general equity and small capitalization stock returns is carried out with inflation divided into expected and unexpected components. The analyses are undertaken using an error correction approach. In the long run, once real and monetary variables are included, asset returns are positively linked to anticipated inflation but not to inflation shocks. Adjustment processes are, however, gradual and not within period. Real estate returns, particularly private market returns, exhibit characteristics that differ from those of stocks.

Discovering REIT Price Discovery: A New Data Setting

This study decomposes real estate investment trust (REIT) returns into two components: (1) real returns, and (2) public returns. The real returns are based on the changes in the private, appraisal-based net asset values of REITs, whereas the public returns are measured by the variations in REITs’ premiums/discounts. This study then investigates the price discovery of REIT prices. The results indicate that lagged public returns are useful in predicting real returns. In addition, the study documents concurrent factor exposures for public returns and lagged factor exposures for private returns under a variety of asset pricing models. Overall, the results are consistent with the notion that public markets are more efficient in processing information.

Volatility Transmission in the Real Estate Spot and Forward Markets

How shocks in one market influence the returns and volatility of other markets has been an important question for portfolio managers. In the finance literature, many studies found evidence of volatility spillovers across international markets, as well as between spot and futures markets. Although real estate is often regarded as a good vehicle for diversification, the dynamics of its volatility transmission have been largely ignored. This paper provides the first study to examine volatility spillovers between the spot and forward (pre-sale) index returns of the Hong Kong real estate market through a bivariate GARCH model. Transaction-based indices were used so that our volatility modelling was free from any smoothing problem. Our results showed that real estate returns exhibited volatility clustering, and the volatility of the forward market was more sensitive to shocks than the spot market. Moreover, volatility was mainly transmitted from the forward market to the spot market, but not vice versa.

Dynamic Residential Housing Cycles Analysis

This paper develops and tests a theoretical model for residential housing market cyclical dynamics. The model employs an interactive supply and demand framework to engender housing price dynamics. Under our set of assumptions, the two equation system is econometrically identified: the first equation, housing demand, relates rent, property values, and capitalization rates with demand fundamentals. The second equation, housing supply, relates housing investment and property values with supply fundamentals. Using the model, we analyze empirically the cyclical dynamics for residential properties in Los Angeles, San Francisco, San Diego and Sacramento for the 1988–2003 time period. The theoretical and econometric design represents improvements and/or modifications of previous studies in at least four ways. First, many of the earlier commercial cyclical analyses have focused on office appraisal and have relied on sparse transactions data, which are likely to be less reliable than the copious amount of residential transactions data. Second, the cyclical volatility and timing of single-family housing is different than that of commercial real estate. Third, by examining different local MSA markets in California, our study distinguishes and isolates national-macro, regional and local market variable effects upon cycles. Finally, utilizing quarterly data (versus annual data) sharpens our ability to focus upon cyclical behaviour. Our empirical analyses suggest that fundamentals, such as employment growth and interest rates are key determinants of the residential real estate cycles. However, in general, local fundamentals tend to have greater cyclical impacts than those of national or regional fundamentals.

Voluntary disclosure of accruals in earnings press releases and the pricing of accruals

This study investigates firms’ decisions to disclose accruals information in earnings press releases versus to provide it only in 10-Q filings and the impact of this disclosure on the pricing of accruals. I find that firms disclose accruals in their press releases when earnings alone are a weak indication of cash flow performance and that following these disclosures the accruals information is fully impounded into stock prices. The evidence suggests that when investor demand for accruals is likely to exist and firms disclose the information in earnings press releases, the mispricing typically associated with accruals is mitigated.

Mortgage Put Options and Real Estate Markets

In this paper we offer direct evidence that financial intermediation does impact underlying asset markets. We develop a specific observable symptom of a banking system that underprices the put option imbedded in non-recourse asset-backed lending. Using a dataset for 19 countries and over 500 real estate investment trusts, we find that, following a negative demand shock, the “underpricing” economies experience far deeper asset market crashes than economies in which the put option is correctly priced.

Partial Interests in Recreational Property

Changing demographics, growing real incomes, and friendly tax laws underlie the continuing growth in demand for recreational real estate in the US. The market for recreational property has undergone a major transformation over the past decades, with the refinement and deepening of markets for partial property ownership vehicles. This paper represents the first to analyze the factors underlying the demand for partial ownership interests. It develops a theory of partial ownership demand that focuses on the roles of familiarity and location-specific human capital in mediating the consumption uncertainty associated with particular recreation locations. Using private data from a survey of partial ownership participants, the empirical analysis yields results consistent with the theory: factors associated with greater site-specific recreation price, like distance between the primary residence and the recreation site and frequency of visits per week, reduce the share of ownership demanded, while factors associated with lower consumption risk tend to increase the share of ownership demanded.

Optimal Time to Sell in Real Estate Portfolio Management

This paper examines the properties of optimal times to sell a diversified real estate portfolio. The portfolio value is supposed to be the sum of the discounted free cash flows and the discounted terminal value (the discounted selling price). According to Baroni et al. (Journal of Property Investment and Finance 25(6):603–625, 2007b), we assume that the terminal value corresponds to the real estate index. The optimization problem corresponds to the maximization of a quasi-linear utility function. We consider three cases. The first one assumes that the investor knows the probability distribution of the real estate index. However, at the initial time, he has to choose one deterministic optimal time to sell. The second one considers an investor who is perfectly informed about the market dynamics. Whatever the random event that generates the path, he knows the entire path from the beginning. Then, given the realization of the random variable, the path is deterministic for this investor. Therefore, at the initial time, he can determine the optimal time to sell for each path of the index. Finally, the last case is devoted to the analysis of the intertemporal optimization, based on the American option approach. We compute the optimal solution for each of these three cases and compare their properties. The comparison is also made with the buy-and-hold strategy.

House Prices and Bubbles in New Zealand

This paper studies actual (real) house prices relative to fundamental (real) house values in New Zealand for the period 1970–2005. Utilizing a dynamic present value model, we find disparities between actual and fundamental house prices in the early 1970s and 1980s and from 2000 to date. We model the bubble component that is related to fundamentals (the intrinsic component), making it possible to highlight whether a bubble still exists after that component is accounted for. We then analyze any remaining bubble to detect any momentum behavior. Much of the overvaluation of the housing market is found to be due to price dynamics rather than an overreaction to fundamentals.

Fundamental Real Estate Prices: An Empirical Estimation with International Data

We propose two alternative models to estimate fundamental prices on real estate markets. The first model is based on a no-arbitrage condition between renting and buying. The second model interprets the period costs as the result of market equilibrium between housing demand and supply. We estimate both models for the USA, the UK, Japan, Switzerland, and the Netherlands. We find that observed prices deviate substantially and for long periods from their estimated fundamental values. However, we find some evidence that, in the long-run, actual prices tend to return to their fundamental values progressively. This result is due to both impulse–response functions and forecast analyses. In particular, we find that using the fundamental price significantly increases the accuracy of out-of-sample long-term forecasts of the price.

Performance persistence and its influence on money and investor flows into Spanish pension plans

This article analyzes the phenomenon of performance persistence in Spanish equity pension plans between 1999 and 2006 to determine whether plans with higher performance in one period continue obtaining higher performance in the future. It also aims to determine the influence of past performance on investor behavior in order to examine whether money and investor flows of these portfolios are affected by past performance. The results reveal the existence of short-term performance persistence and a statistically significant relationship between historical returns and investment flows.

Do Some People Work Harder than Others? Evidence from Real Estate Brokerage

The decision to work and its levels of intensity are estimated for the real estate brokerage industry where workers can set their own hours. A three-stage model of the brokerage labor market is presented with decisions made recursively between full- and part-time status, wage offers and hours worked. The application is to data from a cross-sectional survey of 6,842 real estate licensees in the United States for 1999. Conditional on self-selection, an expected wage for real estate licensees is estimated given skills and personal characteristics. That expected wage enters the supply-side equation for the number of hours worked. The findings indicate that skills such as education, experience and licensee status are related to higher wages, but there is a negative self-selection in wages: part-time workers have higher unmeasured skills. Schooling and experience decreases hours worked, consistent with increasing efficiency. The resulting labor supply elasticity with respect to the wage is 0.24.

An integrated analysis of the association between accrual disclosure and the abnormal accrual anomaly

We find no evidence of accrual mispricing for firms that disclose accrual information at earnings announcements. For these firms, the market differentiates the discretionary from the nondiscretionary components of the earnings surprise. In contrast, the market fails to distinguish between the discretionary and the nondiscretionary components of the earnings surprise for firms that do not disclose accrual information at earnings announcements. These firms experience some stock price correction around the filing date. However, the correction is only partial, resulting in a post-filing drift.

Investor protection, adverse selection, and the probability of informed trading

The purpose of this study is to investigate the relation between investor protection, adverse selection, and the probability of informed trading. Previous research has established a direct relation between investor protection and firm liquidity, measured by bid-ask spreads and depths. In this study, we test the hypothesis that adverse selection is the mechanism through which poor investor protection leads to higher costs of liquidity. The Hong Kong equity market provides a unique opportunity to compare adverse selection differences across distinct investor protection environments, holding constant the trading platform and currency. Using various bid-ask spread decomposition models and probability of informed trading estimates, we confirm the hypothesized relation between investor protection quality and adverse selection costs. These findings contribute to the literature by establishing one of the links in the chain connecting investor protection to firm valuation.