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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 asset allocation decision for a pension portfolio needs to consider several, sometimes conflicting, aspects. Most pension managers use models and processes that are developed for the traditional asset classes for analyzing this problem. The purpose of this paper is to investigate how real estate is included in this process, for what purpose and how the real estate portfolio is constructed.

Seven individuals responsible for the asset allocation process were interviewed, and their responses were analyzed with regards to organizational options and their real estate strategy.

It was found that real estate is held for three different purposes, risk diversification, inflation hedging/liability matching and return enhancement and that the allocation has increased over time. The allocation strategy has evolved at least in part in conjuncture with the organizational structure set in place to overcome real estate market frictions.

The interviews were geographically limited to pension funds domiciled in Sweden and Finland.

It is concluded that the organizational capabilities of the pension fund of handling real estate is an important consideration for the ensuing real estate portfolio.

The originality of this paper lies in that it is based on interviews with individuals who are responsible for the asset allocation decision at large pension funds. The findings of the paper identify areas of interest for future research.

This study re‐examines the potential role that direct real estate can play in institutional mixed‐asset portfolios. The paper examines the statistical improvement in performance that can result from the inclusion of real estate in an international mixed asset portfolio, using both in‐sample and out‐of‐sample data. Using US real estate data the results provide evidence that in most cases real estate does not lead to a significant improvement in portfolio performance in sample. However, out‐of‐sample tests indicate that the asset does provide a valuable diversification asset, with significant improvements in performance relative to a base capital market only portfolio.

This paper re‐examines the role of real estate within mixed asset portfolios from the perspective of an Irish portfolio manager. The nature of the investment market in the Republic of Ireland leads to the study extending the existing literature by expanding the universe of assets beyond a solely domestic setting and by imposing constraints on the optimal portfolios. Irish funds generally hold proportionately more in international equities than in the domestic market due to the small and illiquid nature of the Irish market; therefore, unconstrained tests do not adequately model the behaviour of Irish portfolio managers. The study finds that while real estate plays an important role in both the domestic and international unconstrained portfolios, it exits the optimal portfolios at relatively low return levels. Additionally, the real estate series adjusted for smoothing fails to enter any of the optimal portfolios. However, the use of 20 per cent band constraints leads to an increase in the diversification role real estate can play in a mixed asset portfolio, with the asset maintaining a presence up to more acceptable return levels.

The purpose of this paper is to explore how tenant end demand dependence and investment market segmentation, as estimated through sector type, impacts real estate portfolio strategy in the context of the multi-asset portfolio.

The analysis is performed for six investor domeciles, for domestic and international investments over several cycles. The analysis is performed in a mean variance framework.

The findings are consistent with the hypothesis that an investor benefits from investing in real estate assets where end demand is dependent on local factors rather than global factors.

The efficiency of the overall multi-asset portfolio benefits from a deeper understanding of how the real estate portfolio is constructed. Locally dependent real estate, i.e. real estate that is dependent on local economic factors, tends to better support the overall portfolio than do real estate that is dependent upon global factors.

The paper contributes to the broader knowledge through extending earlier studies using similar methodology by extending the data series to cover the impact of the latest global financial crises, as well through extending the knowledge how the real estate portfolio should be constructed to better support the overall objectives of the multi-asset portfolio.

The purpose of this paper is to explore a regime switching asset allocation model that includes six major real estate security markets (USA, UK, Japan, Australia, Hong Kong and Singapore) and focuses on how the presence of regimes affects portfolio composition.

A Markov switching model is first developed to characterize real estate security markets’ risk‐return in two regimes. The mean‐variance portfolio construction methodology is then deployed in the presence of the two regimes. Finally, the out‐of‐sample analyzes are conducted to examine whether the regime switching allocation outperforms the conventional allocation strategy.

Strong evidence of regimes in the six real estate security markets in detected. The correlations between the various real estate security markets’ returns are higher in the bear market regime than in the bull market regime. Consequently the optimal real estate portfolio in the bear market regime is very different from that in the bull market regime. The out‐of‐sample tests reveal that the regime‐switching model outperforms the non‐regime dependent model, the world real estate portfolio and equally‐weighted portfolio from risk‐adjusted performance perspective.

The application of the Markov switching technique to real estate markets is relatively new and has great significance for international real estate diversification. With increased significance of international securitized property as a real estate investment vehicle for institutional investors to gain worldwide real estate exposure, this study provides significant insights into the investment behavior and optimal asset allocation implications of the listed real estate when returns follow a regime switching process.

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.

The purpose of this paper is to conceptualise a workable strategic asset allocation (SAA) model, given the data paucity problem, and involve an ex ante framework that is distributional free.

The SAA model is developed within a semi‐quantitative and expert‐based framework – the analytic hierarchy process (AHP) – and not a purely time‐series one. It is developed on the basis of consensus by a group of real estate investment experts, who agree on a fixed investment time horizon so that the time factor is disregarded as a variant. The SAA becomes the interface around which a set of tactical bands is imposed, subject to the Markowitz mean‐variance optimisation, and utilizing the total‐return data set of the Jones Lang LaSalle Real Estate Intelligence Service‐Asia. The lower and upper limits of the tactical bands represent the cyclical attractiveness of the various Asian office markets as growth and value‐added markets

The SAA‐AHP model robustly reflects expert judgement among a cohesive group of real estate investment experts, with regard to a Pan‐Asia office market portfolio of eight major Asian cities. Through pair‐wise comparisons and subject to consistency checks in terms of the consistency ratio of <0.10, then the comparative expert assessment of the macro‐economic and the real estate specific factors driving individual Asian real estate markets, would be consistent (i.e. non conflicting). Then the total weighted evaluations of individual markets are derived and deployed as the SAA portfolio mix. This portfolio mix thus becomes the appropriate interface, around which the tactical asset allocation (TAA) is developed within defined tactical bands. These bands must be in line with the underlying Asian real estate market analysis and their cyclical positions. The TAA is obtained through the Markowitz mean‐variance portfolio optimisation, with the objective of locating the optimally efficient TAA on the Markowitz efficient frontier, under a maximising risk‐adjusted‐return Sharpe ratio.

The SAA‐AHP model is reliant on an ex ante assessment of alternative asset allocation strategies on the basis of expert judgement of the macroeconomic environment and the Asian office markets. It is an appropriate SAA alternative to one based on the typical economic‐sized indicators, for example, the urban GDP.

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.

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.