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Opportunity real estate funds are an important style of real estate investing for institutional investors seeking nonlisted real estate exposure. Importantly, institutional investors have sought exposure to the China real estate market, often via opportunity real estate funds. This has been by a pure China opportunity real estate fund (100% China opportunity real estate) or by a pan-Asia opportunity real estate fund where China opportunity real estate was part of this pan-Asia opportunity real estate portfolio. Using two bespoke China opportunity real estate indices developed by the authors, this paper aims to assess the risk-adjusted performance and portfolio diversification benefits of China opportunity real estate in a mixed-asset portfolio over 2008–2020. It also highlights critical issues for institutional investors going forward to factor into their real estate investment decision-making for effective China real estate exposure.

This paper develops two bespoke China opportunity real estate fund performance indices to assess the risk-adjusted performance and portfolio diversification benefits of China opportunity real estate funds in a mixed-asset portfolio over 2008–2020. An asset allocation diagram is used to assess the role of China opportunity real estate in a mixed-asset portfolio via both the non-listed and listed real estate investment channels.

Over 2008–2020, China opportunity real estate exposure via pan-Asia opportunity real estate funds were seen to outperform pure China opportunity real estate funds. In both formats, China opportunity real estate funds were seen to have a significant role in a China mixed-asset portfolio across most of the portfolio risk spectrum; particularly compared to listed real estate exposure in China. On-going issues regarding real estate risk management in China will take on increased importance for institutional investors seeking China real estate exposure.

Opportunity real estate funds are an important style of real estate investing, often used by institutional investors to gain non-listed real estate exposure in a developing real estate market. This style of real estate investing has been popular with institutional investors seeking exposure to China real estate as part of the China economic growth dynamic. The results of this research highlight the importance of opportunity real estate investing in China, both via a pure China opportunity real estate fund and via a pan-Asia opportunity real estate fund. Based on this empirical analysis, China opportunity real estate exposure is seen to be more effective via a pan-Asia opportunity real estate fund than a 100% China opportunity real estate fund. A range of practical China real estate investment issues are also highlighted for the effective delivery of China real estate exposure for institutional investors going forward; this particularly relates to the on-going risk management for real estate investment in China.

This paper is the first empirical research analysis of the risk-adjusted performance of China opportunity real estate and its role in a mixed-asset portfolio. Using bespoke China opportunity real estate fund indices developed by the authors, this research enables empirically-validated, more informed and practical opportunity real estate investment decision-making regarding the strategic role of China opportunity real estate in an institutional investor's portfolio. It also highlights the importance of various facets of real estate risk management in China going forward.

The purpose of this paper is to uncover the relationship between flows and real estate investment at open-ended real estate funds (OEREFs).

The study employs fixed-effects panel regressions, relying on data from the Hungarian fund managers’ trade association. First, the effect of lagged flows on allocation to real estate is assessed. Second, the paper studies how this relationship changes as the cyclical position of CRE market advances using two proxies.

Flows are found to affect funds’ real estate holdings if they occurred 12–18 months earlier. Inflows (outflows) in the preceding six months demonstrably lower (increase) funds’ real estate holdings ratio. Beyond this relationship, findings do not suggest that less funds are channelled to real estate as “CRE heat” intensifies.

In an environment marked by strong cash inflows, the investment lag can translate into a significant drop in funds’ exposure to real estate. The share of real estate at Hungarian funds in the sample, for example, fell from 79 to 50 per cent on average over the period of 2011–2017. Measures designed to limit inflows are in the interest of those existing investors who wish to avoid a dilution of the core investment strategy.

The paper adds to the literature on OEREFs which has been particularly scarce on liquidity transformation during non-crisis times and on non-German funds.

This paper aims to focus on the performance of private equity real estate funds. Since many institutional investors have special programs to invest with first time managers, or emerging fund managers, it also seeks further evidence on how persistent the performance of real estate funds is and how the growth in fund size affects the realised returns of a fund.

The analyses performed are based on a large global sample of value‐added and opportunistic private real estate funds. Different model specifications are used to study the fund and sponsor‐related factors' correlation with fund performance.

It is shown that the realised performance is positively correlated with fund size but negatively correlated with the sequence number of the fund supporting the fact that emerging managers are likelier to achieve good returns. The data also reveal trends in fund performance and the growth of the fund size. Evidence from private equity buy‐out funds has also shown that better performing fund managers are likely to raise follow‐on funds and often larger funds than poorly performing fund managers which is also confirmed by the findings of this paper. There is also an evidence that top‐performing funds do not grow proportionally as much as the average funds.

Actual datasets used in the regression models are often limited by exclusion of immature funds to enhance reliability of results.

This paper expands the recent studies on private equity to private real estate, an area that has experienced substantial growth during the past ten years.

Long lease real estate funds (over £15bn in Q3 2020) have emerged as an increasingly important part of UK pension fund real estate portfolios. This paper explores the reasons for their dramatic growth, their characteristics and performance.

This study uses data for the period 2004–2020 collected directly from fund managers and from AREF/MSCI and empirical analysis to explore their characteristics and performance.

Pension fund de-risking and regulatory guidance have supported the dramatic growth of long lease real estate funds. Long lease real estate funds have delivered strong risk-adjusted returns relative to both balanced property funds (with shorter lease terms) and the wider property market. This relative performance has been particularly strong when wider property market performance has been weak. Long lease funds have objectives aligned with liability matching and their performance suggests they are lower risk (more bond-like) investments. In addition, our analysis highlights they are far less responsive to the wider property market than balanced funds. However, they are not significantly different from balanced property funds in terms of their short-term relationship with gilt yield movements.

For pension funds and other investors the paper highlights that long lease real estate funds offer a different exposure than balanced property funds. Long lease funds have objectives more closely aligned to the overall objectives for pension fund investment but are not significantly more reliable than balanced property funds in the short-term as a liability hedge. For real estate fund managers, occupiers, developers and others active in the real estate market, the paper highlights why these funds have been (and are likely to remain) attractive to investors leading to substantial demand for long lease real estate investments.

This is the first study to review this increasingly important part of the UK real estate fund universe.

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.

While there are numerous indices for the German stock and bond markets, no performance index exists for the German property market, yet foreign institutional investors in particular are interested in the creation of a performance index, in order to achieve an acceptable framework for international real‐estate investment. Presents a construction method for a real‐estate performance index based on published accounting reports of open‐end real‐estate investment funds. This total return index can be disaggregated into a net cash‐flow return as well as capital growth, and could serve investors as an information tool about the German property market. This index could not only be used within the scope of performance analysis, but also for the benchmarking of real estate portfolios or decision making in portfolio management asset allocation. At the same time, this would enhance the transparency, liquidity and professionalism of the German real‐estate market.

Germany is the biggest real estate market in Europe. Although some established vehicles for indirect property investments are available, the German real estate market is dominated by direct investments and lags behind its international peers in capital market integration. The purpose of this study is to examine whether the recent launch of German REITs may improve this situation.

Existing indirect property investment vehicles and the new G‐REIT are analysed and compared along the dimensions of transparency, liquidity and risk/return characteristics. In addition, potential capital flows into G‐REITs are investigated and economic implications derived.

The study identifies the limitations of existing German indirect real estate investment vehicles and demonstrates the superior characteristics of the new G‐REIT. Substantial short‐term capital flows from existing vehicles to G‐REITs are, however, unlikely. Instead the temporary exit tax will foster an economically beneficial reallocation of capital by private companies and public authorities through property sales to new domestic and international investors via G‐REITs.

The results indicate that G‐REITs have the potential to attract substantial funds in the medium term and facilitate a more integrated and developed German property and capital 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.

The overall performance of real estate funds can be ascribed to capital appreciation and/or income return. The Italian property funds market has grown significantly over the past few years; however, little is known about the key drivers of property fund performance. The purpose of this paper is to measure the impact of two sources of funds’ performance and identify their relevance during the financial crisis.

The paper considers the Italian market in the last decade and analyses the annual reports of public real estate funds, separating appraisal returns from income returns. By considering a wide time horizon, it evaluates if the roles of income returns and capital gains with respect to overall performance are more or less influenced by fund characteristics, such as asset diversification, concentration, and leverage.

The contribution of income return and capital growth are not strictly related to the overall performance of Italian real estate funds, with a significantly lower correlation during the global financial crisis. Furthermore, the main drivers of the two income sources are not strictly comparable.

The paper presents the first analysis on the source of income return for the Italian real estate funds and it represents one of the few studies that considers the effect of the financial crisis on European indirect real estate investments, capital appreciation and income return.

Aims to re‐examine the role that can be played by real estate in Swiss mixed‐asset portfolios. For this purpose, constructs a constant quality price index for apartment buildings in Geneva. Also uses data pertaining to real estate mutual funds. In real terms, and after taking into account the illiquidity of real estate, the results suggest that the optimal portfolio composition is 20 per cent for stocks, 53 per cent for bonds and 27 per cent for real estate. Real estate mutual funds could also be included in a small proportion in the portfolio.