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The purpose of this study is to verify whether the trading strategy can beat the “buy-and-hold” strategy for the securitized real estate indices of six Asian economies: Hong Kong, China, Japan, Taiwan, Thailand and Malaysia.

This paper constructs a trading strategy from the Shiryaev-Zhou index and tests the strategy on the securitized real estate indices of six emerging Asian economies: Hong Kong, China, Japan, Taiwan, Thailand and Malaysia. The authors compare the resulting profits from using the trading strategy with the resulting profits from using the “buy-and-hold” strategy. The authors consider three cases: no transaction costs, 0.1 percent transaction costs, and 0.2 percent transaction costs.

The results show that the trading strategy the authors constructed generally outperforms the “buy-and-hold” strategy even in the presence of transaction costs. In particular, the authors have a new finding as follows: Thailand and Malaysia's securitized real estate indices fell drastically during the period of observation. However, applying the trading strategy to these two securitized real estate indices can still earn a profit.

The trading strategy is particularly useful in protecting investors from huge loss in adverse market conditions. The results can be applied to the field of finance/investment that investors can construct a trading strategy similar to the authors to earn more profits.

This study will consider cases where both buying and selling costs exist, so the scenario is more like stock transactions in real-life equity markets. Furthermore, in this paper, for each securitized real estate index, the authors plot a graph to show the holding and non-holding periods under the trading strategy. This would help the authors explain the resulting profit under the trading strategy. This kind of graphical analysis was neglected by Hui and Yam.

This paper aimed to examine the return/risk performance of direct and indirect real estate (listed property stock) in the Nigerian real estate market and analyzed the short-term integration between the two classes of real estate assets. It also established whether investors could achieve diversification benefits by combining both assets in a portfolio.

The data utilized comprised annual returns on direct real estate calculated from the rental and capital values of 226 direct commercial properties obtained from property valuers in Lagos, Nigeria, for a period of January 1999-December 2014. The appraisal-based direct real estate returns were de-smoothed using the Geltner (1993) procedure. The annual returns of indirect real estate were also computed from the transactions of listed property stock on the Nigerian Stock Exchange for the study period. The return-risk profiles were also broken down into short- and medium-term sub-periods, comprising 3, 5, 8 and 12 years to reflect the level of volatility in the market, whereas the nature of the short-term relationship between the two real estate assets classes was tested using Granger causality technique.

The results revealed that listed property stock performed better than unsmoothed direct real estate on a risk-adjusted performance basis. The performance profile, however, varies over the different sub-periods considered. Short-term integration analysis showed that there was no bidirectional relationship between direct and listed property stock, implying diversification and risk reduction possibilities in combining both assets with other asset classes in a domestic asset portfolio. Overall, the results confirm the findings of previous study that listed property stocks return is segmented from the direct real estate market upon which its pricing and trading in the stock market are based.

The conclusion of the study suggests that investors could achieve improved performance by investing in listed property stocks than direct real estate in the Nigerian real estate market. The inclusion of both assets in a domestic mixed-asset portfolio could also be expected to offer diversification and risk reduction benefits.

This is one of the few studies that examine the short-run integration between direct real estate and listed property stocks with a focus on an emerging African market.

A number of studies have examined the convergence in European real estate markets and find that convergence is time‐varying. Additionally, the returns of some countries, notably the UK, are as equally, if not more, influenced by the real estate returns in the USA than those in Europe. This paper aims to study the time‐varying convergence of the UK securitised real estate market shows with countries within Europe relative to that with the USA.

This paper utilizes a model estimated using a Kalman filter.

Using monthly data over the period 1990‐2007 we show that from 1990 to 1998 the returns of the UK securitised real estate were more influenced by the US market than the other countries in Europe. However, from autumn 1998 to 2004 the short‐run movements in the return of the UK securitised real estate market became increasingly associated with movements in the other countries in Europe market rather than the USA. But since 2004 the returns in the UK real estate have once again started to diverge from those of most countries in Europe.

This is the first paper to examine the time‐varying convergence of the securitised real estate markets using time‐varying parameter modelling techniques estimated by the Kalman filter. The results showing that the UK has not converged with the other markets in Europe, which implies that real estate diversification is still a viable investment strategy for UK investors in most countries in Europe.

This paper aims to investigate volatility causality and return contagion on nine international securitized real estate markets by appealing to Markov-switching (MS) regime approach, from July 1992 to June 2014.

An MS causality interaction model (Psaradakis et al., 2005), an MS vector auto-regression mode (Krolzig, 1997) and a multivariate return contagion model (Dungey et al., 2005) were used to implement the empirical investigations.

There exist regime shifts in the volatility causality pattern, with the volatility causality effects more pronounced during high volatility periods. During high volatility period, real estate markets’ causality interactions and inter-linkages contribute to strong spillover effect that leads to extreme volatility. However, there is relatively limited return contagion evidence in the securitized real estate markets examined. As such, the US financial crisis might probably be due to cross-market interdependence rather than contagion.

Because international investors incorporate into their portfolio allocation not only the long-run price relationship but also the short-run market volatility connectedness and return correlation structure, the results of this MS causality and contagion study have provided valuable information on the evaluation of regime-dependent securitized real estate market risk, as well as useful guidance on asset allocation and portfolio management decisions for institutional investors.

Financial crisis is one of the key determinants of cross-market volatility interactions. Portfolio managers should be alerted of the observation that the US and the other developed securitized real estate markets are increasingly sharing “common market cycles” in recent years, thereby diminishing the diversification benefits. For policymakers, this research indicates that the volatilities of the US securitized real estate market could be helpful to predict those of other developed markets. It is also important for them to pay attention to those potential risk factors behind the amplified causality, contagion and volatility spillover at times of crisis. Finally, a wider implication for policymakers is to manage the transmission channels through which global stock market return and volatility shocks can affect the local economies and domestic financial markets, including securitized real estate markets.

Real estate investments have emerged to show low correlation with stocks and bonds and contributed to portfolio optimization. With real estate that can serve as a type of consumption commodity and an investment tool, the risk-return profile of real estate is different from that of the underlying stock markets. Therefore, the performance and investment dynamics and real estate-stock link are not theoretically expected to be similar, that requires separate empirical investigations. This paper aims to stand out from the many papers on the same or similar topics in the application of the three MS methodologies to regime-dependent real estate market integration.

Given the mixed findings in the literature, this paper aims to re‐examine the relationship that the securitised property market has with both the fixed income and general stock markets in the UK and Australia from July 1998 to June 2006.

The base methodology is the cointegration procedure developed by Inoue in conjunction with the procedure developed by Johansen, Gonzalo and Granger that allows the extraction of permanent and transitory driving factors underlying cointegrated systems. In Australia both listed property trusts (LPTs) and real estate management and development companies (REMDs) are studied, while in the UK the analysis is restricted to REMDs due to the fact that real estate investment trusts were only introduced in 2007, hence providing insufficiently long series.

The Inoue test reveals that ignoring structural breaks in any cointegrating system may lead to erroneous inferences. In both Australia and the UK securitised property is influenced by the general stock market in both the long‐ and short‐term. In Australia the fixed income market does not have a permanent influence on LPTs, despite the fact that LPTs use more long‐term debt than REMDs.

A major contribution of this study clearly points to the relative weightings that portfolio managers may now consider to be appropriate vis‐a´‐vis their holdings of bonds, equities and securitised property (under its different structures as considered here) in their portfolios for both their tactical and strategic asset allocations.

The purpose of this paper is to investigate and compare the extreme behavior of securitized real estate and stock market returns as well as their value‐at‐risk (VaR) dynamics in international investing. Extreme value theory using the block maxima method is applied to ten securitized real estate and equity market indices representing Asian, European and North American markets.

The paper models the maxima and minima of all return series within the extreme value theory (EVT) framework and derive the VaR estimates. It then compares the VaR estimates derived from the EVT and the normal distribution and investigates the impact of clustered returns on the VaR estimates. Finally, both the conventional standard deviation measure and VaR method are conducted to evaluate and compare the impact of the Asian financial turmoil on the real estate and stock market risk profiles.

Evidence shows that Asian real estate and equity maxima and minima return series are characterized by a fat‐tailed Fréchet distribution. The frequency and severity of extreme Asian real estate returns are greater than their European and North American counterparts. Securitized real estate markets are riskier than the broader stock markets before and during the Asian financial turmoil. In contrast, many stock markets become riskier after the financial crisis with their VaRs higher than the equivalent VaR estimates for the real estate series.

Knowledge about real estate market returns exhibit extreme behavior can help investors and fund managers understand the distribution of real estate market returns better and obtain potentially more accurate real estate return forecasts.

International real estate portfolio risk management should include both extreme risks and standard deviations. Accordingly, global investors should be even more cautious in formulating their diversification strategies since gains from diversification can be reduced significantly by the severity of extreme return levels.

The paper characterizes the distribution of extreme returns for a broad spectrum of international securitized real estate markets from three continents. The extreme value investigation is also conducted for broader stock markets corresponding to the individual real estate markets. The July 1997 turmoil that occurred in Asian financial markets provides interesting exploratory opportunities within which this paper estimates and compares the extreme market risk with the conventional standard deviation measure.

The real estate market has evolved significantly over the past 10 years and has experienced rapid growth throughout the world in its various forms. Many emerging countries witnessed the significant growth in their commercial real estate markets that became a stable sector of their economies. These countries, after developing a reliable commercial real estate base within their economies subsequently developed real estate financial markets. The growth of the real estate investment trusts, REITs, markets in many countries within the past decade helped attract global capital that facilitated additional investments in local real estate developments. Significantly, this period of time may have witnessed a higher degree of integration of real estate with the broader financial markets due in large part to the securitization of mortgages. Yet the general real estate market was also impacted in many parts of the world with rising prices and subsequent price collapses. This section focuses on the various areas of the global real estate market and the changes that it has encountered as examined by researchers of real estate. This chapter also examines the recent trends in global real estate markets and explores how these changes have affected the broader investment community.

The purpose of this paper is to revisit the dynamic linkages between the US and the national securitized real estate markets of each of the nine Asian-Pacific (APAC) economies in time-frequency domain.

Wavelet decomposition via multi-resolution analysis is employed as an empirical methodology to consider time-scale issue in studying the dynamic changes of the US–APAC cross-real estate interdependence.

The strength and direction of return correlation, return exogeneity, shock impulse response, market connectivity and causality interactions change when specific time-scales are involved. The US market correlates with the APAC markets weakly or moderately in the three investment horizons with increasing strength of lead-lag interdependence in the long-run. Moreover, there are shifts in the net total directional volatility connectivity effects at the five scales among the markets.

Given the focus of the five approaches and associated indicators, the picture that emerges from the empirical results may not completely uniform. However, long-term investors and financial institutions should evaluate the time-scale based dynamics to derive a well-informed portfolio decision.

Future research is needed to ascertain whether the time-frequency findings can be generalizable to the regional and global context. Additional studies are required to identify the factors that contribute to the changes in the global and regional connectivity across the markets over the three investment horizons.

This study has successfully decomposed the various market linkage indicators into scale-dependent sub-components. As such, market integration in the Asia-Pacific real estate markets is a “multi-scale” phenomenon.

The purpose of the paper is to examine the role of securitised real estate within the confines of a multi‐asset investment portfolio and to identify if indeed securitised real estate can afford investors the desired investment benefits of direct property investment whilst mitigating many of the recognised barriers and risks.

The paper employs a suite of analytical techniques; lead‐lag correlations are utilised to examine market dynamics between listed and direct real estate markets across jurisdictions. Grainger causality and co‐integration techniques are applied to examine the nature and extent of relationships between investment markets with optimal portfolio analysis utilised to explore the role of securitised real estate and the optimum weighting allocation within the confines of a multi‐asset investment portfolio.

The findings demonstrated the unresponsive nature of direct real estate markets relative to listed real estate markets – in some jurisdictions the extent of lag can be as much as 12 months. Whilst the research did not identify a Grainger causality relationship between listed and direct property markets across the jurisdictions, co‐integration analysis does infer trend reverting price behaviour in the long run (ten years) between direct and listed real estate markets. Optimal portfolio analysis serves to demonstrate the crucial role of real estate within a multi‐asset portfolio in terms of both mitigating risk and enhancing performance over the ten‐year time series. Indeed, the optimal portfolio analysis highlights the compatibility and complementarity of listed and direct real estate within a multi‐asset investment portfolio.

The question if securitised real estate is a viable proxy for direct property investment is as inconclusive as it is enduring. In contrast to the large embodiment of previous work, this paper adopts an international market perspective depicting the global nature of securitised real estate investment markets whilst also reflecting on the extent of co‐integration between asset classes and across jurisdictions during a period of extreme financial and economic distress.

Previous studies on the Malaysian securitised real estate market have largely emphasised on performance analysis, whereas the importance of securitised real estate in asset allocation is largely ignored. Therefore, the purpose of this paper is to examine the role of Malaysian property shares and real estate investment trusts (REITs) in a mixed‐asset portfolio from 1991 to 2006.

The mean‐variance and downside risk optimisations were utilised to assess the role of REITs and property shares in a mixed‐asset portfolio allocation. More specifically, the portfolio diversification potential and return enhancement benefits for both assets were examined.

The results showed that property shares offer little diversification benefits or portfolio return enhancement, whereas the equally weighted REITs portfolio does provide some diversification benefits and return enhancements under the mean‐variance and downside risk frameworks. However, the benefits have diminished in recent years. Besides, the results also revealed that the equally‐ and value‐weighted REIT portfolios do behave differently.

This study has several important implications for investors. Importantly, investors should consider the inclusion of REITs rather than property shares in their portfolios.

This paper is one of few studies in emerging markets, although Malaysia was the first country to introduce REITs in Asia. Additionally, it could be the first attempt to assess the downside risk of Malaysian securitised real estate.