Search results

This paper aims to examine the performance efficiency of 56 real estate assets within the rental sector in the UAE to evaluate the relative operation efficiency in relation to revenue generation.

The data envelopment analysis (DEA) approach was used to measure the relative operational efficiency of the studied assets in relation to the revenue performance. This method could produce a more informed and balanced approach to performance measurement.

The outcomes show that scores of efficiencies ranging from 7% to 99% in some of the models. The results showed that on average buildings are 75% relatively less efficient in maintenance, in term of revenue generation, than the benchmark set. Likewise, on average, the inefficient buildings are 60% relatively less efficient in insurance. Result also shows that 95% of the building assets in the sample are by and large operating at decreasing returns to scale. This implies that managers need to considerably reduce the operational resources (input) to improve the levels of revenue.

This study recommends that the FM operational variables that were found to inefficiently contribute to the revenue should be re-examined to test the validity of the findings. This is necessary before generalising or interpolating the results that are presented in this study.

The information obtained about operational performance can help FM managers to understand which improvements in the productivity of inefficient FM resources are required, providing insight into how to reduce operating costs and increase revenue.

This paper adds value in using new FM operational parameters to evaluate the efficiency of the performance of built assets.

Similar to real estate, infrastructure investments are regarded as providing a good inflation hedge and inflation protection. However, the empirical literature on infrastructure and inflation is scarce. Therefore, the purpose of this paper is to investigate the short- and long-term inflation-hedging characteristics, as well as the inflation protection associated with infrastructure and real estate assets.

Based on a unique data set for direct infrastructure performance, a listed infrastructure index, common direct and listed real estate indices, the authors test for short- and long-term inflation-hedging characteristics of these assets in the USA from 1991-2013. The authors employ the traditional Fama and Schwert (1977) framework, as well as Engle and Granger (1987) co-integration tests. Granger causality tests are further conducted, so as to gain insight into the short-run dynamics. Finally, shortfall risk measures are applied to investigate the inflation protection characteristics of the different assets over increasingly long investment horizons.

The empirical results indicate that in the short run, only direct infrastructure provides a partial hedge against inflation. However, co-integration tests suggest that all series have a long-run co-movement with inflation, implying a long-term hedge. The causality tests reveal reverse unidirectional causality – while real estate asset returns are Granger-caused by inflation, infrastructure asset returns seem to cause inflation. These findings further confirm that both assets represent a distinct asset class. Ultimately, direct infrastructure investments exhibit the most desirable inflation protection characteristics among the set of assets.

This study only presents results based on a composite direct infrastructure index, as no sub-indices for sub-sectors are available yet.

Investors seeking assets that are sensitive to inflation and mitigate inflation risk should consider direct infrastructure investments in their asset allocation strategy.

This is the first study to examine the ability of direct infrastructure to assess inflation risk.

The purpose of this paper is to examine the long‐term relationship between the rate of inflation and the returns of real estate and financial assets traded in New Zealand markets.

The question of whether these assets are good candidates to hedge inflation in the long run is addressed employing cointegration and causality tests on quarterly data for the period from December 1979 to December 2003.

A strong long‐term relationship was found between the returns offered by all types of real estate assets (i.e. residential, commercial, industrial and farm building) and the rate of inflation. However, such a long run relationship is not detected between the rate of inflation and the returns of financial assets (i.e. stocks, short‐term bills and long‐term bonds).

The empirical findings reveal that the direction of causality is from inflation to real estate assets indicating that changes in property prices do not cause inflation in New Zealand; the cause of inflation is independent of the price movements for real estate assets. The real estate assets are found to offer an effective hedge against inflation in the long run. The same cannot be said for the financial assets, however.

This is the first New Zealand study which investigates the long‐term inflation hedging effectiveness of both real estate and financial assets. The findings should be of interest to most of the investors in New Zealand as the real estate assets play a significant role in their portfolio decisions.

The purpose of this paper is to investigate the impact of corporate real estate (CRE) ownership on value creation for non‐financial French listed companies.

Using a pool sample composed of SBF 250 companies over the period 1999‐2004, this paper investigates the association between economic value added (EVA) and market value added (MVA) as proxies for the value generated by French listed companies and the proportion of real estate in their asset portfolio.

The empirical results show that an increase in the proportion of real estate assets (over total assets) is negatively associated with EVA, but only for firms in service industries exhibiting low real estate intensity. The regression on MVA shows a negative association with the increase in the proportion of real estate for firms outside the service industries.

Recent trends show that many large companies have sold a significant portion of their CRE assets. The underlying motives for such behaviour are yet to be examined (at least for the French context). If real estate has any influence, an association should be observable between proxies of value creation and the change in the proportion of real estate assets, owned by a company. The results suggest that sales of CRE assets may be driven by value maximizing behaviour.

In order to maximize the value of their firm, managers should apparently take value creation into consideration in their decisions to invest in or dispose of real estate assets.

The paper suggests that in a French context, CRE disposals may generate value added in certain industries with specific CRE intensity.

This paper aimed to examine the return/risk performance of direct and indirect real estate (listed property stock) in the Nigerian real estate market and analyzed the short-term integration between the two classes of real estate assets. It also established whether investors could achieve diversification benefits by combining both assets in a portfolio.

The data utilized comprised annual returns on direct real estate calculated from the rental and capital values of 226 direct commercial properties obtained from property valuers in Lagos, Nigeria, for a period of January 1999-December 2014. The appraisal-based direct real estate returns were de-smoothed using the Geltner (1993) procedure. The annual returns of indirect real estate were also computed from the transactions of listed property stock on the Nigerian Stock Exchange for the study period. The return-risk profiles were also broken down into short- and medium-term sub-periods, comprising 3, 5, 8 and 12 years to reflect the level of volatility in the market, whereas the nature of the short-term relationship between the two real estate assets classes was tested using Granger causality technique.

The results revealed that listed property stock performed better than unsmoothed direct real estate on a risk-adjusted performance basis. The performance profile, however, varies over the different sub-periods considered. Short-term integration analysis showed that there was no bidirectional relationship between direct and listed property stock, implying diversification and risk reduction possibilities in combining both assets with other asset classes in a domestic asset portfolio. Overall, the results confirm the findings of previous study that listed property stocks return is segmented from the direct real estate market upon which its pricing and trading in the stock market are based.

The conclusion of the study suggests that investors could achieve improved performance by investing in listed property stocks than direct real estate in the Nigerian real estate market. The inclusion of both assets in a domestic mixed-asset portfolio could also be expected to offer diversification and risk reduction benefits.

This is one of the few studies that examine the short-run integration between direct real estate and listed property stocks with a focus on an emerging African market.

The purpose of this paper is to establish an optimum mix of liquid, publicly traded assets that may be added to a real estate portfolio, such as those held by open-ended funds, to provide the liquidity required by institutional investors, such as UK defined contribution pension funds. This is with the objective of securing liquidity while not unduly compromising the risk-return characteristics of the underlying asset class. This paper considers the best mix of liquid assets at different thresholds for a liquid asset allocation, with the performance then evaluated against that of a direct real estate benchmark index.

The authors employ a mean-tracking error optimisation approach in determining the optimal combination of liquid assets that can be added to a real estate fund portfolio. The returns of the optimised portfolios are compared to the returns for portfolios that employ the use of either cash or listed real estate alone as a liquidity buffer. Multivariate generalised autoregressive models are used along with rolling correlations and tracking errors to gauge the effectiveness of the various portfolios in tracking the performance of the benchmark index.

The results indicate that applying formal optimisation techniques leads to a considerable improvement in the ability of the returns from blended real estate portfolios to track the underlying real estate market. This is the case at a number of different thresholds for the liquid asset allocation and in cases where a minimum return requirement is imposed.

The results suggest that real estate fund managers can realise the liquidity benefits of incorporating publicly traded assets into their portfolios without sacrificing the ability to deliver real estate-like returns. However, in order to do so, a wider range of liquid assets must be considered, not just cash.

Despite their importance in the real estate investment industry, comparatively few studies have examined the structure and operation of open-ended real estate funds. To the authors’ knowledge, this is the first study to analyse the optimal composition of liquid assets within blended or hybrid real estate portfolios.

This paper aims to contrast the financial costs and benefits of leasing, rather than owning real estate assets.

The main argument is that leasing is beneficial. The hypothesis is tested using a total of 2,343 UK‐quoted companies over the period 1989‐2002, resulting in 14,101 pooled time‐series and cross‐sectional observations.

The results indicate that large and high‐growth companies are likely to lease than to own these assets. Companies that lease are more efficient in using their real estate and that these benefits are compounded in share price valuation as leasing propensity is strongly leasing propensity is not linear, but an inverse U‐shaped, suggesting that the market is also considering the costs of not owning real estate.

The study relied on historical accounting values of real estate rather than market values which are not available in machine readable format, and there was no data on the type of real estate and its location.

The results of the paper provide strong and consistent evidence that the market values the costs and benefits of leasing.

The purpose of this paper is to understand what affects the liquidity of individual commercial real estate assets over the course of the economic cycle by exploring a range of variables and a number of time periods to identify key determinants of sale probability.

Analyzing 12,000 UK commercial real estate transactions (2003 to 2013) the authors use an innovative sampling technique akin to a perpetual inventory approach to generate a sample of held assets for each 12 month interval. Next, the authors use probit models to test how market, owner and property factors affect sale probability in different market environments.

The types of properties that are most likely to sell changes between strong and weak markets. Office and retail assets were more likely to sell than industrial both overall and in better market conditions, but were less likely to sell than industrial properties during the downturn from mid-2007 to mid-2009. Assets located in the City of London more likely to sell in both strong and weak markets. The behavior of different groups of owners changed over time, and this indicates that the type of owner might have implications for the liquidity of individual assets over and above their physical and locational attributes.

Variation in sale probability over time and across assets has implications for real estate investment management both in terms of asset selection and the ability to rebalance portfolios over the course of the cycle. Results also suggest that sample selection may be an issue for commercial real estate price indices around the globe and imply that indices based on a limited group of owners/sellers might be susceptible to further biases when tracking market performance through time.

The study differs from the existing literature on sale probability as the authors analyzed samples of transactions drawn from all investor types, a significant advantage over studies based on data restricted to samples of domestic institutional investors. As well, information on country of origin for buyers and sellers allows us to explore the influence of foreign ownership on the probability of sale. Finally, the authors not only analyze all transactions together, but the authors also look at transactions in five distinct periods that correspond with different phases of the UK commercial real estate cycle. This paper considers the UK real estate market, but it is likely that many of the findings hold for other major commercial real estate markets.

Recent studies on foreign investment in US real estate provide evidence that fluctuating exchange rates are likely to reduce the potential gains from international diversification by making these investments more risky. However, other research has suggested that forward currency contracts may provide an effective mechanism for offsetting exchange rate volatility and thus restore the diversification benefits. Examines the use of forward contracts as a means of hedging the currency risk associated with foreign investment in US real estate. Indicates that, although continuous hedging of US real estate with forward contracts allows foreign investors to eliminate most of the risk induced by currency instability, the improvements are insufficient to produce diversification gains for all foreign investors in the context of meanvariance portfolio performance.

Surveys of senior real estate executives have previously indicated that real estate represents approximately 25 per cent of corporate worth. These surveys, however, relied on self reported estimates of current real estate value. This study uses objective data to investigate the proportionate value that real estate represents on corporate balance sheets. The findings indicate that, when buildings are adjusted for inflation, real estate represents about 40 per cent of total corporate assets. Since corporate worth may also be measured in market value terms, several indexes were constructed to measure the proportion of firm market value represented by real estate assets. With buildings inflation adjusted, real estate represents about 80 per cent of firm market value. Although firm size does have an impact on all the ratios computed in this study, the impact is fairly modest in virtually all cases