Search results

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.

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.

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.

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

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.

This paper investigates the relationship between the sustainable finance disclosure regulation (SFDR) and the performance of unlisted real estate funds.

While existing literature has primarily focused on the impact of voluntary sustainability disclosure, such as certifications or reporting standards, this study addresses a significant research gap by constructing and analyzing the financial J-Curve of 40 funds under the SFDR. The authors employ a panel regression analysis to examine the effects of different SFDR categories on fund performance.

The findings reveal that funds categorized under Article 8 of the SFDR do not exhibit significantly poorer performance compared to funds categorized under Article 6 during the initial phase after launch. On average, Article 8 funds even demonstrate positive returns earlier than their peers. However, the panel regression analysis suggests that Article 8 funds slightly underperform when compared to Article 6 funds over time.

While investors may not anticipate lower initial returns when opting for higher SFDR categories, they should nevertheless be aware of the limitations inherent in the existing SFDR labeling system within the unlisted real estate sector.

To the best of our knowledge, this study represents the first quantitative examination of unlisted real estate fund performance under the SFDR. By providing unique insights into the J-Curves of funds, our research contributes to the existing body of knowledge on the impact of sustainability regulations in the financial sector.

The purpose of this study is to provide new cross-country evidence on the relation between real estate investment trust (REIT) returns and idiosyncratic risk for samples of listed and unlisted REITs in the US and Australia.

Five alternative models with exponential GARCH enhancements were employed, in a Fama-MacBeth (1973) setup. The authors assess the statistical significance of the idiosyncratic risk variable and interpret the outcomes.

The results show that listed REITs in the US and Australia demonstrate a positive idiosyncratic risk-return linkage over the long period of January 1980-November 2013 and April 1994-December 2012, respectively. A further examination by sub-period reveals that this positive relation is only evident in the new REIT era (January 1993-September 2001), absent in the vintage era (before December 1992) and maturity era (November 2001-August 2008). The unlisted REITs in both countries show no relation with idiosyncratic risk. Further, the global financial crisis has no effect on the relation between idiosyncratic risk and REIT returns.

A key motivation of this paper stems from the mixed findings documented in the literature. Also very little research has been done on the idiosyncratic risk-REIT returns linkage in the Australian context. This study offers unique insights from comparisons: Australia vs the US; and listed vs unlisted REITs.

The aim of the paper is threefold: to provide an overview of gearing in the Australian real estate investment market; formally examine the relationship between property returns, risk and gearing; and provide some guidance in evaluating “optimal” gearing levels for real estate investment.

A mathematical modelling framework is presented for evaluating the relationship between investment returns, risk and gearing levels.

The study highlights that risk rises with rising gearing levels and that risk‐adjusted returns fall with rising gearing. Furthermore, it is shown that the gearing‐risk relationship is influenced not only by the cost of debt structure but also the interdependency between ungeared returns and interest rates.

The study suggests that current gearing levels from Australian listed property trusts and unlisted wholesale property funds are relatively conservative. This implies that current gearing could be increased, in particular for wholesale funds, without taking on substantially more risk whilst enhancing returns.

The paper is of value to industry and academia as it offers an extended framework for evaluating the relationship between risk and gearing. In particular, the framework provides insight for gauging gearing levels when constructing real estate investment strategies.

Importantly, the paper shows that the interdependency between ungeared returns and interest rates significantly impacts the relationship between risk and gearing.

In a bid to broaden the understanding of the real estate investment decision-making framework, the purpose of this paper is to examine the real estate asset allocation decision-making practices of real estate funds in Nigeria, a developing economy. This is with a view to providing information toward enhancing real estate investment decisions.

A mixed-methods approach comprising a combination of literature review, expert interviews and semi-structured questionnaire survey is adopted for this study. Through literature review and expert interviews, the asset allocation decision-making process of institutional real estate funds was identified. Based on the literature review and expert discussions, a semi-structured questionnaire was developed and self-administered on fund/portfolio managers of 59 institutional real estate funds in Nigeria to investigate their asset allocation decision-making practice. Data were analyzed using descriptive and inferential statistics for the closed-ended questions while the open-ended questions were content analyzed.

The findings revealed that the asset allocation decision-making process utilized by public and private real estate funds follows an opportunistic asset accumulation approach. The decision-making process also varies depending on the nature of the fund. Further findings showed that government policies, political uncertainties and regulatory mechanism motivate asset allocation decisions. Moreover, majority of the sampled real estate funds employed a combination of in-house personnel and external consultants (hybrid), while mean/standard deviation and cash flow analysis (DCF, NPV) were mostly utilized by the funds in making property investment decisions.

The findings implied that the real estate asset allocation decision-making process of institutional property investors in Nigeria deviates from the normative model of the asset allocation process prescribed in the literature and varies depending on the nature of the real estate funds. As such, familiarization of institutional investors with government policies, political climate and other regulatory mechanism (barriers to entry) guiding the ownership and operation of real estate assets in the country could improve their real estate investment decisions.

The study complements and extends existing literature on real estate asset allocation decision-making process of institutional investors from the viewpoint of the actors involved in a developing African economy.

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 compares the benefits of direct international real estate investments in a mixed asset portfolio from the perspective of a passive investor with high and low bond allocation.

Due to high data availability and its professionalism, the Norwegian sovereign wealth fund was used as a representative example. Real estate indices from 8 countries were used for the portfolio analysis. The data were desmoothed according to Geltners’s 1993 approach.

The optimal real estate ratio in the present case is around 20–55%. However, this is strongly dependent on the bond ratio of the multi-asset portfolio. Portfolios with a high equity ratio benefit more from the additional direct real estate investments than portfolios with high bond ratios.

A rebalancing of individual stocks and bonds was not analysed. Only indexes from MSCI (Morgan Stanley Capital International) were available.

Concludes that the weighting of stocks and bonds has a strong influence on the optimal real estate ratio and therefore structural changes that affect this weighting.

The originality of the paper lies in the analysis with different weights of stocks and bonds, the consideration of 8 real estate markets and the observation period. The results of the work highlight areas of interest for further research.

Real estate market transparency is an important factor in real estate investment and occupier decision making. The purpose of this paper is to assess real estate transparency over 2004-2014 to determine whether the European real estate markets have become more transparent in a regional and global context.

Using the JLL real estate transparency index over 2004-2014, changes in real estate market transparency are assessed for 102 real estate markets. This JLL real estate market transparency index is also assessed against corruption levels and business competitiveness in these markets.

Improvements in real estate transparency are clearly evident in many European real estate markets, with several of these European real estate markets seen to be the major improvers in transparency from a global real estate markets perspective.

Institutional investors and occupiers see real estate market transparency as a key factor in their strategic real estate investment and occupancy decision making. By assessing changes in real estate transparency across 102 real estate markets, investors and occupiers are able to make more informed real estate investment decisions across the global real estate markets. In particular, this relates to both investors and occupiers being able to more fully understand the risk dimensions of their international real estate decisions.

This paper is the first paper to assess the dynamics of real estate market transparency over 2004-2014, with a particular focus on the 33 European real estate markets in a global context to facilitate more informed real estate investment and occupancy decision making.

This chapter examines the acquisition of assets (real estate) and companies in the Chinese real estate industry. We propose a nuanced view of state ownership (beyond state being the largest shareholder) and argue that firms with a combination of state and private ownership may be in a unique position to acquire real assets. We conduct an analysis of the growth and funding of the industry for the period and also analyze the successful acquisitions in the industry over 2004–2007. Our analysis is supportive of the nuanced view about state-owned enterprises (SOEs) and their advantageous position for acquiring real estate assets from the government. Our analysis also sheds light on the two-stage marketization process in the Chinese real estate industry where SOEs endowed with real estate assets are sold to non-SOEs.

Focussing on the UK’s institutional real estate universe, this paper analyses variations in the operational management of real estate investment portfolios. For the main categories of institutional investors, the key tasks in real estate operational management, and the ways in which these tasks are typically bundled and categorised by investment managers are reviewed. Three broad operational management models are outlined. Case studies of real estate operational management models in practice are discussed.

The research approach is primarily descriptive, drawing upon illustrative investor case studies.

A range of operating models are identified for managing real estate investment portfolios. Specialists real estate investors tend to have highly vertically integrated operating models viewing most operational management functions as core operational capabilities. Multi-asset owners tend to have a vertically disintegrated operating model outsourcing fund, asset, property and facilities management. Investing institutions such as fund houses and specialist real estate investment advisors seem to have converged upon a common hybrid operating model with high margin, analytical functions such as fund and asset management being insourced and low margin, routine functions such as property and facilities management being outsourced.

Despite the size of the global, institutional real estate investment universe (estimated by DTZ to be worth more than USD 13.6 trillion in 2015), the topic of how (and how effectively) these assets are managed by institutional investors has attracted very little attention from the real estate research community. This paper provides some initial analysis and insights into operational management models for real estate investment portfolios in the contemporary real estate investment management landscape.