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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.

Divides investors into two types: tax‐paying investors and tax‐exempt pension funds. Tax‐paying investors will worry about the expected after‐tax variance of return on real estate, while tax‐exempt pension funds will worry about the expected pre‐tax variance of return. States this is an important observation because the after‐tax variance of return is apt to be significantly less than the pre‐tax variance of return (particularly during the early 1980s when tax‐paying investors were able to use real estate losses to offset other income). The model developed by the author suggests this reduced expected after‐tax variance of return helps explain the seemingly irrational construction that took place in US office markets during the 1980s.

The purpose of this paper is to examine the contribution of real estate to the performance of mixed-asset portfolio of Nigeria Pension Fund with a view to providing a guide on investment decision making for institutional investors and portfolio managers.

Data on capital value were collected from the quarterly and annual reports of Nigeria Pension Commission over a period of ten (2007–2016) years, and the data were analyzed using descriptive statistics.

The findings show that there is diversification benefit resulting from integrating real estate to other assets of the Nigeria Pension Fund, and that the fund’s portfolio performed better when real estate is integrated in the mixed-asset portfolio.

Investment portfolio managers can benefit from the findings of this study by making investment decisions that are performance-driven. The study will serve as a guide in making investment decisions on mixed-asset portfolio of institutional investors other than pension funds.

There is no known paper on the contribution of real estate in the performance of asset portfolio of the Nigeria Pension Fund.

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.

Examines the impact of using “unsmoothing” techniques on real estate data to take pension‐plan asset‐allocation decisions. It is generally believed that valuation‐based real estate indices give rise to returns figures which are “smoothed” versions of the underlying transaction prices. Unsmoothing techniques can be used to develop real estate return data series that are believed to be a more accurate representation of underlying transaction prices. If this is done, the resulting data reveal greater volatility of real estate returns. When such data are applied to portfolio selection models, they often reveal a reduced allocation to real estate in efficient portfolios. Looks at the impact of unsmoothing data when taking pension‐plan asset‐allocation decisions. Finds here that the unsmoothed data are more closely correlated with pension plan liabilities. As a result, efficient pension plan portfolios sometimes contain more real estate, rather than less. In general, there is little change in the efficient real estate allocation. These results are very important. They reveal that so‐called “valuation smoothing” may distort property investment decisions less than is commonly thought.

This study aims to determine the relationship between the banking industry and home financing by conducting a regression analysis between the mortgage loan interest rates and the number of housing sales, and based on the results of the analysis, this paper proposes a new and alternative interest-free home financing model by directing the savings of the people in pension funds into real estate investment funds (housing fund), specifically established to provide a bank loan-free home financing solution. Diminishing Musharakah (partnership) is also integrated into the model from an interest-free and saving economy perspective. The model developed also provides opportunities to increase the size of the real estate investment funds and provide alternative investment tools to pension funds.

While the global financial crisis resulted from the mortgage crisis in the USA in very recent history, the world has been experiencing the evolution of a new health crisis, COVID-19, a pandemic that has been heavily affecting the global economy in the past two years. The housing sector is among one of the major industries that may be affected by this new global crisis because of the high dependency of the current home financing models on the banking industry, which is carrying the burden of the pandemic. The rapid increase in global debt volume, housing prices, inflation and interest rates are observed as bad signs that may increase the risks of the housing industry. A potential decrease in purchasing power because of high inflation rates may decrease the welfare of people and reduce the income level. While the total debt keeps increasing worldwide, and central banks are considering increasing the interest rates, any potential default in the repayment of the mortgage loans may trigger a new mortgage crisis as the bank loan-dependent financing system of the housing industry lacks alternatives. Thus, a relationship analysis between the banking and housing sectors is required to figure out the dependency of home financing on the banking industry, and a new sustainable home financing model is needed to protect the housing industry and the homebuyers from a negative effect of a new possible financial crisis.

The results of the analysis exhibit that there is a strong negative relationship between the mortgage loan interest rates and the total home sales. As a result, the new model is suggested and this new model is tested in an emerging country, Turkey, with the real housing sector and economic data where the interest rates are high and the home prices are booming. The results exhibit that the new interest-free home financing model provides a more economic financing solution compared with the high financing costs of bank loans.

The model proposed in this study is unique, and there is no such system that has integrated the pension funds, the real estate investment funds and diminishing partnership in one ecosystem. It is expected that the model may decrease the dependency of home financing on the banking industry and decrease the risks of the housing sector in the case a new financial crisis occurs.

While providing a sustainable and alternative interest-free home financing tool, the model also provides individuals who do not prefer to use any bank loan because of religious or other concerns an opportunity to purchase their houses.

The model proposed in this study is a unique and original model that aims to provide a bank loan-free, sustainable home financing solution by integrating the pension funds, real estate investment funds and diminishing partnership in one ecosystem.

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 investigate the existence of behavioral biases, disposition effect and house money effect in investment decisions of defined benefit pension funds. It investigates the determinants of portfolios by examining whether pensions display risk seeking or risk aversion behavior in reaction to prior gains and losses.

The first research question is to examine the impact of prior period’s return and αs on existing portfolio allocation in equity, debt, real estate and other assets. In order to test this relationship, four separate regressions are estimated using the pooled data. Regression helps in examining the relationship between prior gains with current allocation in four categories of assets of varying degrees of riskiness (stocks, debt, real estate and other assets). In order to investigate the second research question on whether pension funds increase (decrease) their investments in risky (safer) assets due to prior gains and αs, the four variables representing the changes in portfolio allocation for each asset class over one period are employed. These changes in allocation are regressed against the prior year’s actual return, expected return, αs and a set of control variables.

The results suggest significant negative (positive) relationship between prior positive returns and αs with portfolio allocation in risky (safer) assets. Also, there is an increased (decreased) investment in safer (risky) assets following prior period’s positive returns and αs. The findings confirm the existence of disposition effect, while there is no evidence of house money effect.

The portfolio allocation of pension plans provides unique setting to investigate the relevance of behavioral finance and examine the role of psychological biases on risk taking. This study attempts to contribute to the literature by empirically investigating whether the tenets of behavioral finance are relevant in defined benefit pension fund’s portfolio allocation decisions. Specifically, it focuses on the determinants of portfolio choices by directly investigating pension funds’ reaction to prior period’s actual as well as risk adjusted return (or αs – the difference between the actual and expected return).

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.