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Article
Publication date: 3 July 2017

Stephen Lee

The purpose of this paper is to empirically examine the issue of convergence in the monthly returns, rental growth and yields for ten market segments in the UK direct real estate

Abstract

Purpose

The purpose of this paper is to empirically examine the issue of convergence in the monthly returns, rental growth and yields for ten market segments in the UK direct real estate market, using monthly data over the period from January 1987 to December 2014.

Design/methodology/approach

The methodology used to determine convergence is principal component analysis as it provides an assessment of the extent to which the variance of the market segments can be represented by a single common factor, explaining their long-run behaviour, and the degree of independence between the market segments.

Findings

The results suggest that there is strong evidence of convergence over the entire sample period in relation to monthly returns and yields but less evidence of convergence in rental growth, which confirms the findings in previous studies in international markets.

Practical implications

The evidence also suggests that convergence has increased over the sample period and that convergence is period specific and was particularly strong during and after the period of the Global Financial Crisis, which implies that the UK direct real estate market is largely integrated and as a consequence the extent of diversification potential in the market is still severely limited.

Social implications

The convergence in returns has crucial implications for investors as it leaves investors exposed to the same structural shocks and so magnifies the importance of volatility spillover effects, limits their ability to create well-diversified portfolios and make it more difficult for fund managers to outperform the market.

Originality/value

This is the first paper to examine the convergence in the UK direct real estate market.

Details

Journal of Property Investment & Finance, vol. 35 no. 4
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 2 March 2015

Alex Moss and Kieran Farrelly

The purpose of this paper is to provide a better understanding of the performance implications for UK DC pension fund investors who choose to combine global listed and UK unlisted…

Abstract

Purpose

The purpose of this paper is to provide a better understanding of the performance implications for UK DC pension fund investors who choose to combine global listed and UK unlisted real estate in a blended allocation relative to a pure unlisted solution.

Design/methodology/approach

Blended listed and unlisted real estate portfolios are constructed. Investor risk and returns are then studied over the full 15 year sample horizon and distinct cyclical phases over this period using a number of risk-return metrics. Performance is then contrasted with that of a pure unlisted solution, as well as UK equity market and bond total returns over the same period.

Findings

A UK DC pension fund investor choosing to construct a blended global listed and UK unlisted real estate portfolio would have experienced material return enhancement relative to a pure unlisted solution. The “price” of this enhanced performance and improved liquidity profile is, unsurprisingly, higher portfolio volatility. However, because of the improved returns, the impact upon measured risk adjusted returns is less significant.

Practical implications

Relatively liquid blended listed and unlisted real estate portfolios create efficient risk and return outcomes for investors.

Originality/value

This study uses actual fund rather than index data (i.e. measures delivered returns to investors), has chosen a global rather than single country listed real estate allocation and is focused on providing clarity around the real estate exposure for a specific investment requirement, the UK DC pension fund market.

Details

Journal of Property Investment & Finance, vol. 33 no. 2
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 3 August 2012

Stephen Lee

When one talks of the return performance one typically refers to an average buy‐and‐hold return, also known as time‐weighted return. However, the returns of investors can be quite…

373

Abstract

Purpose

When one talks of the return performance one typically refers to an average buy‐and‐hold return, also known as time‐weighted return. However, the returns of investors can be quite different. Investor returns are determined not only by the returns on the underlying assets but also by the timing and magnitude of their capital flows into and out of these assets. To account for the annual‐to‐annual variation in assets under management, a dollar‐weighted return has to be calculated. The difference between time‐weighted returns and dollar‐weighted returns is known as the performance gap. The purpose of this paper will be to investigate this in the UK property market.

Design/methodology/approach

Using an approach similar to that of Dichev the authors examine the performance gap in the UK direct property market using historical return data for 45 market‐segments over the time period 1981‐2009.

Findings

The results show that the performance gap was negative, i.e. investor returns were greater than asset returns. That is, UK direct property investors have shown greater returns than their underlying investments. This implies that estimates of the performance of the UK property market based on property returns do not reflect the experience of investors as a group.

Originality/value

This study provides the first evidence of the performance gap in the UK direct real estate market.

Details

Journal of European Real Estate Research, vol. 5 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Article
Publication date: 24 August 2021

Tony McGough and Jim Berry

The financial and economic turmoil that resulted from the Global Financial Crisis (GFC), included a marked increase in the volatility in real estate markets. Property asset prices…

Abstract

Purpose

The financial and economic turmoil that resulted from the Global Financial Crisis (GFC), included a marked increase in the volatility in real estate markets. Property asset prices were impacted by the real economy and market sentiment, particularly concerning the determination of risk. In an economic downturn, the perception of investment risk becomes increasingly important relative to overall total returns, and thus impacts on yields and performance of assets. In a recovery phase, and particularly within an environment of historically low government bonds, risk and return compete for importance. The aim of this paper is to assess the interrelationships and impacts on pricing between real estate risk, yield modelling outcomes and market sentiment in selective European city office markets.

Design/methodology/approach

This paper specifically considers the modelling of commercial property pricing in relation to the appetite for risk in the financial markets. The paper expands on previous work by determining a specific measure of risk pricing in relationship to changing financial market sentiment. The methodology underpinning the research specifically examines the scope for using national and international risk pricing within specific real estate markets in Europe.

Findings

This paper addresses whether there is a difference between the impact of risk on the pricing of real estate in international versus regional cities in Europe. The analysis, therefore, determines which city centre office markets in Europe have been most impacted by globalisation including the magnitude on real estate prices and market volatility. The outcome of the paper provides important insights into how changes in risk preferences in the international capital markets have driven and continues to drive yield movements under different market conditions.

Research limitations/implications

The paper considers the driving forces which have led to the volatile movements of yields, emanating from the GFC.

Practical implications

This paper considers the property market effects on pricing of commercial real estate and the drivers in selected European cities.

Originality/value

The outcome of the paper provides important insights into how changes in risk preferences in the international capital markets have driven and continue to drive the yield movements in different real estate markets in Europe.

Details

Journal of European Real Estate Research, vol. 15 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Article
Publication date: 24 January 2023

Woon Weng Wong, Kwabena Mintah, Kingsley Baako and Peng Yew Wong

The paper is motivated by the paucity of empirical research on the determinants of capitalisation rates/yield in the commercial property market. Compared to property price…

Abstract

Purpose

The paper is motivated by the paucity of empirical research on the determinants of capitalisation rates/yield in the commercial property market. Compared to property price determinants, the capitalisation rate has received significantly less attention. This is somewhat surprising given that the capitalisation rate is a more insightful indicator for investors on commercial property market performance than merely price changes or trends. The capitalisation rate, measured as the ratio of net operating income to the property’s capital value, captures the asset’s overall ability to generate income which is crucial for investors who typically invest in property for their income-generating capacity. The purpose of this paper is to address these issues.

Design/methodology/approach

To evaluate the determinants of capitalisation rates, time series analysis was used. The data capture performance in the Australian commercial property market between 2005 and 2018. All macroeconomic and financial data are freely available from official sources such as the Australian Bureau of Statistics and the nation’s central bank. Methodology wise, given the problematic nature of the data such as a mixed order of integration and the possibility of cointegration amongst some of the I (1) variables, the autoregressive distributed lag model was selected given its flexibility and relative lack of assumptions.

Findings

Bond rates, market risk premiums, stock market excess returns and other macroeconomic variables were found to drive capitalisation rates of Australian commercial properties. A 1% increase in the bond rate results in approximately 0.3–2.4% increase in capitalisation rates depending on the sub-market. Further, a 1% increase in excess market returns results in a 0.01–0.02% increase in capitalisation rates. Regarding risk premiums, a 100 basis point increase in the BBB spread results in approximately 0.92–1.27% reduction in cap rates in certain markets.

Practical implications

Asset managers will find these results useful in asset allocation strategies. Commercial properties offer attractive investment qualities such as yield stability in periods of economic uncertainty while allowing for the possibility of capital growth through appreciation of the underlying asset. By understanding the factors that affect the capitalisation rate, practitioners may predict emerging trends and identify threats to portfolio return and stability. This allows better integration of commercial property in the construction of portfolios that remain robust in a variety of market conditions.

Originality/value

The contribution to literature is significant given the lack of similar studies in the Australian market. The performance of real estate assets using cap rates as a comparative measure to equities and bonds influences decisions in asset allocation strategies. It provides crucial information for investors to estimate the performance of commercial property. This research supports the notion that both space and capital market indicators jointly affect capitalisation rates. The findings expand the knowledge base relating to commercial properties and validate the assessments of investors, developers and valuers who utilise yield as a performance benchmark for asset allocation strategies.

Details

Journal of Property Investment & Finance, vol. 41 no. 2
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 22 August 2018

Frank Kwakutse Ametefe, Steven Devaney and Simon Andrew Stevenson

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Property Investment & Finance, vol. 37 no. 1
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 1 April 2004

Philip M. Booth and Gianluca Marcato

Despite improvements in certain countries in recent years, the provision of performance information on the direct real estate market still suffers from a lack of timeliness and…

2989

Abstract

Despite improvements in certain countries in recent years, the provision of performance information on the direct real estate market still suffers from a lack of timeliness and reliability. The latter problem is particularly an issue for higher‐frequency data provision. This paper investigates whether there is information from the indirect market that might be useful in helping us understand better the direct real estate market. Direct real estate indices do not measure the performance of underlying transactions prices properly because they are based on valuations – and therefore may be subject to valuation smoothing. Indirect real estate indices do not properly measure the value investors put on the underlying assets of real estate companies because real estate companies are geared. Compares appropriately adjusted indices, and shows that there is information in indirect index returns that can usefully help us understand the performance of the direct market and an index is produced of de‐geared monthly real estate share returns for the UK.

Details

Journal of Property Investment & Finance, vol. 22 no. 2
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 1 March 2013

Tien Foo Sing and Zhuang Yao Tan

Understanding correlations between stock and direct real estate returns, which is the key factor that determines diversification benefits in a portfolio, helps formulate and…

1868

Abstract

Purpose

Understanding correlations between stock and direct real estate returns, which is the key factor that determines diversification benefits in a portfolio, helps formulate and implement better investors' asset allocation and risk management strategies. The past studies find that direct real estate returns have a low unconditionally (long‐run) correlation with the returns of equities. However, assuming that such correlation is constant throughout all periods is implausible. The purpose of this study is to test the time‐varying correlations of returns between general stocks and direct real estate.

Design/methodology/approach

This study uses the dynamic conditional correlation (DCC) model, which is a simplified version of the multivariate generalised autoregressive conditional heteroskedasticity (GARCH) model, proposed by Engle to test the time‐varying correlations between stock and direct real estate returns in six markets, which include the USA, the UK, Ireland, Australia, Hong Kong and Singapore.

Findings

The empirical results show significant time‐varying effects in the conditional covariance between stock returns and direct real estate returns. The results vary across different real estate sub‐sectors, and across different countries. It is observed that the conditional covariance increases in the boom markets, but becomes weaker in the post‐crisis periods. The authors observed significant jumps in the conditional covariance between the two asset markets in Singapore and Hong Kong in the post‐1977 Asian Financial crisis periods and in the post‐2007 US Sub‐prime crisis periods.

Originality/value

The past studies find that direct real estate returns have a low unconditionally (long‐run) correlation with the returns of equities. However, assuming that such correlation is constant throughout all periods is implausible. This study fills in the gap by using the dynamic conditional correlation models to allow for time‐varying effects in the correlations between stock and real estate returns.

Article
Publication date: 2 August 2013

Martin Haran, Peadar Davis, Michael McCord, Terry Grissom and Graeme Newell

The purpose of the paper is to examine the role of securitised real estate within the confines of a multi‐asset investment portfolio and to identify if indeed securitised real

Abstract

Purpose

The purpose of the paper is to examine the role of securitised real estate within the confines of a multi‐asset investment portfolio and to identify if indeed securitised real estate can afford investors the desired investment benefits of direct property investment whilst mitigating many of the recognised barriers and risks.

Design/methodology/approach

The paper employs a suite of analytical techniques; lead‐lag correlations are utilised to examine market dynamics between listed and direct real estate markets across jurisdictions. Grainger causality and co‐integration techniques are applied to examine the nature and extent of relationships between investment markets with optimal portfolio analysis utilised to explore the role of securitised real estate and the optimum weighting allocation within the confines of a multi‐asset investment portfolio.

Findings

The findings demonstrated the unresponsive nature of direct real estate markets relative to listed real estate markets – in some jurisdictions the extent of lag can be as much as 12 months. Whilst the research did not identify a Grainger causality relationship between listed and direct property markets across the jurisdictions, co‐integration analysis does infer trend reverting price behaviour in the long run (ten years) between direct and listed real estate markets. Optimal portfolio analysis serves to demonstrate the crucial role of real estate within a multi‐asset portfolio in terms of both mitigating risk and enhancing performance over the ten‐year time series. Indeed, the optimal portfolio analysis highlights the compatibility and complementarity of listed and direct real estate within a multi‐asset investment portfolio.

Originality/value

The question if securitised real estate is a viable proxy for direct property investment is as inconclusive as it is enduring. In contrast to the large embodiment of previous work, this paper adopts an international market perspective depicting the global nature of securitised real estate investment markets whilst also reflecting on the extent of co‐integration between asset classes and across jurisdictions during a period of extreme financial and economic distress.

Article
Publication date: 6 March 2017

Giacomo Morri and Federico Romito

Listed real estate securities have historically been used to achieve an exposure to the real estate asset class and to obtain a broad spectrum of other specific features such as…

Abstract

Purpose

Listed real estate securities have historically been used to achieve an exposure to the real estate asset class and to obtain a broad spectrum of other specific features such as return enhancement, but whether they must be associated to the direct property or to the broad stock market is deceptive on a merely theoretical basis. Moreover, the global financial crisis (GFC) has questioned their risk/return characteristics. The purpose of this paper is to asses if listed real estate securities are still enough dissimilar from the broad stock market to provide remarkable diversification benefits for a long term investor.

Design/methodology/approach

The analysis has been developed on the FTSE EPRA/NAREIT Developed Index and at country level (USA, UK, France, Japan, Singapore, Hong Kong and Australia) from November 2001 to October 2013. The authors analysed the real estate index over a broad market index and adjusted for a possible bias related to heteroskedasticity and autocorrelation, using a least squared regression with Newey-West HAC Correction. A Recursive Least Squares (RLS) was also used to test the stability of the parameters with the CUSUM squared test and the Chow test. Finally the authors tested for cointegration with the Augmented Dickey Fuller and the Engle Granger tests.

Findings

The authors found that after the GFC the Beta-risk related to the stock market has witnessed a sharp increase, but with differences among country. While the USA, the UK and France have experienced a trend similar to the one described for the FTSE EPRA/NAREIT Developed Index, Asian Markets depict a quite stable Beta over the full sample (gradual increase for the Australian market). Evidence of a structural break in conjunction with 2008 crisis has been found only in USA, UK and France.

Practical implications

Listed real estate securities, even if characterised by time varying Beta-risk and partially reduced diversification benefits, are still worth to be included in long term horizon portfolios. However, more wary considerations should be drafted before investing in the Asian markets where evidence of cointegration was found only for the Japanese market.

Originality/value

Analysis of post GFC effect on direct property investment vs indirect listed investment worldwide.

Details

Journal of Property Investment & Finance, vol. 35 no. 2
Type: Research Article
ISSN: 1463-578X

Keywords

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