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.

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.

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.

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.

Commercial Real Estate Valuation: Fundamentals Versus Investor Sentiment

This paper investigates the role of fundamentals and investor sentiment in commercial real estate valuation. In real estate markets, heterogeneous properties trade in illiquid, highly segmented and informationally inefficient local markets. Moreover, the inability to short sell private real estate restricts the ability of sophisticated traders to enter the market and eliminate mispricing. These characteristics would seem to render private real estate markets highly susceptible to sentiment-induced mispricing. Using error correction models to carefully model potential lags in the adjustment process, this paper extends previous work on cap rate dynamics by examining the extent to which fundamentals and investor sentiment help to explain the time-series variation in national-level cap rates. We find evidence that investor sentiment impacts pricing, even after controlling for changes in expected rental growth, equity risk premiums, T-bond yields, and lagged adjustments from long run equilibrium.

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.

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.

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).

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.

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.

Takeover motives in a weak regulatory environment surrounding a market shock: a case study of New Zealand with a comparison of Gondhalekar and Bhagwat’s (2003) US findings

We examine the motives for takeovers in New Zealand surrounding the 1987 stock market crash and compare with the US findings of Gondhalekar and Bhagwat (2003). There are a number of structural differences between the New Zealand and US markets that could impact on merger motives. Compared with the US, New Zealand is a small capital market; with weak takeover regulation and a prolonged aftermath of the 1987 stock market crash. Consistent with US research, we find evidence of synergy and hubris motivations in New Zealand takeovers although we find the synergy motivation is stronger. Contrary to expectations we find no evidence of agency motivated takeovers.

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.

The cross-sectional relationship between stock returns and domestic and global factors in the Chinese A-share market

By using an extension of the Fama and MacBeth cross-sectional regression model, this analysis examines the relationship between stock returns and (i) a local beta, (ii) two global betas, and (iii) some firm-specific characteristics in the Chinese A-share market. The results of the analysis suggest that neither the conditional local beta nor the global betas has a significant relationship with stock returns in A-shares. Our findings indicate that firm factors, such as the book-to-market ratio and firm size, are important in explaining stock returns. However, the size effect is sensitive to the specification of the model. Finally, the results of sub-period tests indicate that the A-share market did not become increasingly integrated with either the world stock markets or the Hong Kong stock market over the period 1995–2002.

Market Segmentation Effects in Corporate Credit Rating Changes: The Case of Emerging Markets

We examine stock market reactions to corporate credit rating changes in 26 emerging market countries included in the Morgan Stanley Capital International (MSCI) Emerging Market Index. We hypothesize and test the notion that emerging market firms in the American Depository Receipts (ADRs) markets are more likely to purchase ratings from the Big Two (Moody’s and S&P), and that they react more strongly to the announcements of corporate rating changes by Moody’s or S&P than to those of raters in local markets. We compare the effect of credit rating changes of the Big Two in two emerging stock markets: local markets (local currencies) and ADR markets (U.S. dollars). We find significant price reactions in the ADR markets, and insignificant reactions in local markets, and conclude that there is capital market segmentation in ADR markets for credit rating changes of emerging market firms. We find evidence that investors react more strongly in the ADR markets than local markets because they require higher costs of capital for firms cross-listed both in the ADR markets and local markets due to greater expected bankruptcy costs and foreign exchange risks of those firms. We also report that stock markets react significantly, not only to rating downgrades, but also to upgrades in the ADR markets.

Commonalities in the order book

This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price, we find that the factor information shares are highest (about 10%) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.

Estimating Default Probabilities of CMBS Loans with Clustering and Heavy Censoring

This paper provides a comprehensive default estimation of commercial real estate loans with a complete commercial mortgage backed securities (CMBS) loan history database. Standard survival models assume that eventually every observation will experience the event. However, often there is a high proportion of censored observation in the sample. A mixture model is proposed to disentangle the probability of “long-term survivorship” and the timing of default occurrence. Loans within the same geographical area and property type tend to exhibit correlation in default incidence. A multilevel model is proposed to capture this correlation within and between clusters.

The Effect of Reputation and Competition on the Advice of Real Estate Agents

We study a two-period bargaining game where buyers and sellers employ real estate agents to help them determine the sales price of a house. We find that agents are less likely to provide aggressive bargaining advice to their client when they receive percentage commissions and when they work for the buyer. In addition, we find that agents are less likely to suggest aggressive bargaining strategies when there is little market competition, the gains to trade are large, in markets where housing values appreciate slowly, and when dual agency is permitted. More importantly, we show that an agent is more likely to bargain aggressively and capture a portion of the gains to trade for a client when the house’s sales price is closely related to the agent’s reputation and future business (referrals).

How Does the Market for Corporate Control Function for Property Companies?

We investigate 95 takeovers of property companies all over the world and find that only two of those are hostile. To determine the effectiveness of the market for corporate control, we first study characteristics of targets and acquirers compared to a control sample, using the complete global universe of listed property companies during the most recent takeover wave (1999–2004). We find that the inefficient management hypothesis holds for both REITs and non-REITs, as targets exhibit significant underperformance before takeovers. In the second part of this study, we investigate shareholder wealth effects following takeovers and confirm previous findings that abnormal returns for targets and bidders are distinctly different for the real estate sector. Moreover, we show that this difference not only holds for REIT-to-REIT mergers, but also for mergers of real estate firms without a REIT-status.

Sports betting as a new asset class—current market organization and options for development

New asset classes are originally distributed via over the counter channels; mostly negotiated, traded, and settled on a bilateral and ad-hoc basis. Subsequently, the demand for organized market services grows alongside trading volumes, number of market participants, and distribution reach. This paper focuses on sports betting as a new asset class and uses the analogies between the development of traditional and new asset classes as a framework to extend market organization. The first section motivates sports betting as a new asset class based on its economic relevance. In Sect. 2, the European market is described by product design, distribution platforms, and regulatory environment. In Sect. 3, we discuss the dimensions of market model, technology, and regulation as prerequisites to develop organized markets. Against this background, we compare the value chain in financial and sports betting markets to identify and describe three options for development: a regulated market environment, an inter-bookmaker platform, and central counterparty clearing services.