Search results

Examines the investment performance of Singapore real estate and property stocks over the past 25 years. Evaluations using coefficient of variation (CV), Sharpe index (SI) and time‐varying Jensen abnormal return index (JI) suggest that real estate outperformed property stocks on a risk‐adjusted basis. Results also indicate that risk‐adjusted investment performance for residential properties remained superior to performance for other real estate types and property stocks. Further analysis using time‐varying JI reveals that the excess return performance of property stocks could differ significantly from that of direct properties, and performance of property stock led real estate market performance. Finally, the performance implications arising from the study are evaluated.

The purpose of this paper is to improve the transparency of European emerging real estate market dynamics and performance attributes in the wake of the 2007-2008 global financial crisis (GFC). The paper examines the extent and nature of inter-relationships between three emerging real estate markets namely, the Czech Republic, Hungary and Poland as well as determining the rationale for including emerging real estate markets within a Pan-European investment portfolio. The paper affords a timely update following the reinstatement of lending provision for European emerging real estate investment markets in 2014.

The paper employs lead-lag correlations and Grainger causality to examine inter and intra relationships across three emerging European real estate markets, namely the Czech Republic, Hungary and Poland over the period 2006-2014. Optimal portfolio analysis is undertaken to explore the role of emerging real estate markets within the confines of a multi-asset investment portfolio as well as a Pan-European real estate investment portfolio.

The findings demonstrate the opportunities afforded by the European emerging real estate markets in terms of both performance enhancement and risk diversification. Significantly, the findings highlight the lack of “uniformity” across the European emerging markets in terms of their investment potential, with Grainger causality confirming that the real estate markets in the Czech Republic, Hungary and Poland are not endogenous functions of one-another’s performance.

This paper makes a considered contribution to the analytical interpretation of European emerging property market performance across the real estate cycle. The research demonstrates that the real estate markets in the Czech Republic, Hungary and Poland exhibit specific investment characteristics which differentiate them from the more developed real estate markets across Europe. Indeed emerging markets have the propensity to serve as both a risk diversifier as well as performance enhancer within the confines of a pan-European real estate investment portfolio. However, as the research clearly articulates, intricate understanding of the attributes afforded by the different emerging markets as well as the divergence in sectoral dynamics/performance is integral to portfolio allocation strategies.

Robust academic research on Europe’s emerging real estate markets has been hampered by deficiencies in data provision. This study makes an innovative and timely contribution to redressing the research vacuum through delineated examination of the performance dynamics of three markets namely, the Czech Republic, Hungary and Poland, across the real estate cycle. The role and function of emerging markets is depicted within the confines of a Pan-European direct real estate investment portfolio at the all property level and in terms of sectoral specific allocations comprising retail, office and industrial. The explicit added value of the paper is the propensity to bench-mark the performance of emerging markets real estate markets on a like-for-like basis with developed real estate markets across Europe facilitating the exploration of the role and function of emerging real estate markets within a Pan-European investment context.

Assesses the relationship between Hong Kong property company and commercial property market performance over 1984‐94. Finds that property companies provide a useful source of transaction‐based information about changing property market fundamentals. The unique property market characteristics in Hong Kong mean that information is impounded into direct property series quickly, within one quarter of being impounded into indirect property company stock prices. Finds a common “pure” property element that influences both property company and property market returns. This results in investors capturing some portion of Hong Kong property market returns by investing in property companies, as well as achieving liquidity and portfolio diversification.

The purpose of this paper is to investigate changes in the commercial real estate market dynamics as a function of and conditional to the shifts in market state-space environment that can influence agent responses.

The analytical design uses a comparative computational experiment to address the performance of property assets in the current market based on comparison with prior structural patterns. The latent variables developed across market sectors are used to test agent behavior contingent on the perspectives of capital asset pricing conditionals (CAPM) and a behavioral momentum/herd construct. The state-space momentum analysis can assist the comparative analysis of current levels and shifts in property asset performance given the issues that have arisen with the financial crisis of 2007-2009.

An analytic approach is employed framed by a situation-dependent model. This frame considers risk profiles characterizing the perspectives and preferences guiding a delineated market state. This perspective is concerned with the possibility of shifts in market momentum and representativeness conditioning investor expectations. It is observed that the current market (post-crisis) has changed significantly from the prior operations (despite the diversity observed in prior market states). The dynamics of initial findings required an additional test anchored to the performance of the general capital market and the real economy across time. This context supports the use of a modified CAPM model allowing the consideration of opportunity cost in a space-time dynamic anchored with the consideration of equity, debt, riskless asset and liquidity options as they varied for the representative agents operating per market state.

This paper integrates neoclassical and behavioral economic constructs. Combines asset pricing with prospect theory and allows the calculation of endogenous time-preferences, risk attitudes and formulation and testing of hyperbolic discounting functions.

The research shows that market structure and agent behavior since the financial crisis has changed from the investment and valuation perspectives operating as observed and measured from 1970 up to 2007. In contradiction to the long-term findings of Reinhart and Rogoff (2008), but in compliance with common perspectives and decision heuristics often employed by investors, this time things have changed! Discounting and expected rates of return are dynamic and are hyperbolic and not constant. Returns and investment for property assets are situational (market state-space specific) and offer a distinct asset class, not appropriately estimated by many of the traditional financial models.

Assist in supporting insights to measure in errors and equations that result in inefficient resource allocation and beta discounting that supports the financial crisis created by assets subject to long-term decision needs (delta function).

The paper offers a combination and comparison of neoclassic asset pricing using a modified CAPM (two-pass) approach within the structural frame of Kahneman and Tversky’s (1979) prospect theory. This technique allows the consideration of the effects of present bias, beta-delta functions and the operation of the Allais Paradox in market states that are characterized by gains and losses and thus risk aversion and risk seeking behavior. This ability for differentiation allows for the development of endogenous time-preferences and hyperbolic discounting factors characteristic of commercial property investment.

The Alternative Investment Market (AIM) is an important UK growth-focused stock market. The purpose of this paper is to assess the significance, risk-adjusted performance and portfolio diversification benefits of property companies on the AIM stock market over 2005-2015. The post-Global Financial Crisis (GFC) recovery of property companies on AIM is highlighted, as well as their performance compared with property companies on the London Stock Exchange (LSE) main board.

Using monthly total returns, the risk-adjusted performance and portfolio diversification benefits of property companies on the AIM stock market over 2005-2015 are assessed and compared with a range of other asset classes. Sub-period analysis is used to assess the post-GFC recovery of the property companies on AIM.

Property companies on AIM delivered poor risk-adjusted returns over 2005-2015, with limited portfolio diversification benefits with the overall AIM stock market. However, since the GFC, property companies on AIM have delivered strong risk-adjusted returns, with improved portfolio diversification benefits with the overall AIM stock market. This post-GFC performance is shown to be more than a small cap effect, reflecting the property portfolios in these AIM property companies. Despite this strong post-GFC performance, the AIM property companies under-performed property companies on the LSE main board on a risk-adjusted basis.

AIM provides an important platform for property companies seeking start-up and growth opportunities in a less-regulated funding environment. This has been reinforced by strong risk-adjusted performance in a post-GFC context. However, the stronger risk-adjusted performance of LSE listed property companies and their superior scale, resources and higher quality property portfolios present challenges for increased investor support for the AIM property companies going forward.

This paper is the first published empirical research analysis of the risk-adjusted performance and diversification benefits of property companies on the AIM stock market. This research enables empirically validated, more informed and practical property investment decision-making regarding the strategic role of property companies on the AIM stock market in a portfolio.

The purpose of this paper is to investigate the strategy that a turnaround in the USA will portend a turnaround in the UK's economy and property market. For this strategy to operate, it is assumed that the capital and property markets in and between the two nations are highly integrated with endogenous pricing functions.

Given the endogenous assumptions of the conjectured research statement, tests of integration (or segmentation) between two capital and property markets are conducted. Correlation, tracking error analysis, and a multiple systematic risk factor model are used to test the pricing relationships. The methodological form employs variant macroeconomic variable pricing models (MVM) of alternative combinations of systematic affects operating across and between the national markets.

Pricing integration is noted between the UK and US capital markets, while the property markets are economically and statistically segmented. Opportunities for arbitrage based on different prices/returns for equivalent risk exposures are statistically observed between the UK and USA. The effect is that systematic pricing between the two markets cannot be addressed solely by diversification options. This infers a potential for arbitrage (statistically, strategically or in practice) is possible, given that systematic risk exposures between the two markets are not equivalently priced across cyclical phases. In this context it is inferred that the probable measure of pricing differences across the two markets is more than a cyclical lag effect.

The paper delineates the degrees of integration/segmentation in the UK and US property and capital markets as a function of systematic risks in changing economic conditions. These differences support the existence of statistical arbitrage and the specification of investment behaviour as a function of differencing pricing expectations. These findings can assist in the formulation of investment and hedging strategies to assist in managing international portfolios subject to cyclical market exposures. This paper contributes to an understanding of and foundation for testing the nature and impact of cycles on property investment performance as a function of pricing changes.

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.

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.

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.

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

Considers the important ways in which property is different from other investments and the problems associated with measurement of investment performance in the property market. Outlines the features of the difference of property investment as providing a medium‐level ′secure′ income, a different performance cycle, and a lower level of risk. Discusses the issues creating concern over the pricing of property and the ability to measure its performance, and looks at recent developments in the market. Suggests that the processes of evaluation and performance measurement are providing data on a more comparable basis as the property market itself becomes more efficient.

This study systematically reviewed existing literature on the impact of economic uncertainty on property performance to highlight focus areas and spur future research amid unprecedented global uncertainty levels. Conceptually, uncertainty levels and environmental dynamism are related to investors' risk judgement and decision-making.

Peer-reviewed journal articles published from 2007 to 2022 were assembled and arranged through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. The initial search produced 2,028 results from the Web of Science and Scopus databases, which were rigorously purified for a final dataset of 70 articles. These records were subsequently assessed through content analysis, bibliographic modelling, topic modelling and thematic analysis. Recurring themes were visualised using the VOSviewer software.

The existing literature suggests that economic uncertainty negatively impacts investment volumes, returns and performance. Research has also increased since 2018, with a strong emphasis on the housing sector and developed property markets. Commercial property and emerging markets account for only 10 and 8% of previous research, respectively.

These findings highlight the negative impact of economic uncertainties on property performance and investment volumes, which necessitate careful risk assessment. Given the high susceptibility of emerging and commercial property markets to uncertainty, these markets warrant further research amid ongoing uncertainty concerns across the globe.

Given current unprecedented levels of global uncertainty, the effects of economic uncertainty have received renewed interest. This study synthesised the current understanding of how different property markets respond to increased uncertainty and outlined future research directions to enhance understanding. Themes and relationships were also integrated into a conceptual map summarising the reported effects of economic uncertainty on housing, commercial property, investment and behaviour in the property market.

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.

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.

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.

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.

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.