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The purpose of this paper is to examine weekly dynamic conditional correlations (DCC) and vector autoregressive (VAR)-based volatility spillover effects within the three Greater China (GC) public property markets, as well as across the GC property markets, three Asian emerging markets and two developed markets of the USA and Japan over the period from January 1999 through December 2013.

First, the author employ the DCC methodology proposed by Engle (2002) to examine the time-varying nature in return co-movements among the public property markets. Second, the author appeal to the generalized VAR methodology, variance decomposition and the generalized spillover index of Diebold and Yilmaz (2012) to investigate the volatility spillover effects across the real estate markets. Finally, the spillover framework is able to combine with recent developments in time series econometrics to provide a comprehensive analysis of the dynamic volatility co-movements regionally and globally. The author also examine whether there are volatility spillover regimes, as well as explore the relationship between the volatility spillover cycles and the correlation spillover cycles.

Results indicate moderate return co-movements and volatility spillover effects within and across the GC region. Cross-market volatility spillovers are bidirectional with the highest spillovers occur during the global financial crisis (GFC) period. Comparatively, the Chinese public property market's volatility is more exogenous and less influenced by other markets. The volatility spillover effects are subject to regime switching with two structural breaks detected for the five sub-groups of markets examined. There is evidence of significant dependence between the volatility spillover cycles across stock and public real estate, due to the presence of unobserved common shocks.

Because international investors incorporate into their portfolio allocation not only the long-term price relationship but also the short-term market volatility interaction and return correlation structure, the results of this study can shed more light on the extent to which investors can benefit from regional and international diversification in the long run and short-term within and across the GC securitized property sector, with Asian emerging market and global developed markets of Japan and USA. Although it is beyond the scope of this paper, it would be interesting to examine how the two co-movement measures (volatility spillovers and correlation spillovers) can be combined in optimal covariance forecasting in global investing that includes stock and public real estate markets.

This is one of very few papers that comprehensively analyze the dynamic return correlations and conditional volatility spillover effects among the three GC public property markets, as well as with their selected emerging and developed partners over the last decade and during the GFC period, which is the main contribution of the study. The specific contribution is to characterize and measure cross-public real estate market volatility transmission in asset pricing through estimates of several conditional “volatility spillover” indices. In this case, a volatility spillover index is defined as share of total return variability in one public real estate market attributable to volatility surprises in another public real estate market.

With growing interdependence between financial markets, the goal of this paper is to examine the dynamic interdependence between corporate equity and public real estate markets for the USA and a select group of seven European developed economies under a cross-country framework in crisis and boom market conditions. Dynamic interdependence is related to four measures of market linkages of “correlation, spillover, connectedness and causality”.

This study adopts a four-step investigation. The authors first estimate “time-varying variance–covariance spillovers and implied correlations” modeled with the bivariate BEKK-MGARCH methods. Second, the methods of Diebold and Yilmaz (2012, 2014) measure the conditional volatility spillover-connectedness effects across the corporate equity and public real estate markets based on a decomposition of the forecast error variance. Third, the authors implement nonlinear bivariate and multivariate causality tests to understand the lead-lag dynamics of the two asset markets' returns, volatilities and net directional volatility connectedness across different sample periods. Finally, the authors conclude the study by providing a portfolio hedging analysis.

The authors find that corporate equity and public real estate are moderately interdependent to the extent that their diversification benefits increases in the longer term. Moreover, the authors find increased corporate equity-public real estate causal dependence of the market groups of the European and international portfolios during the GFC and INTERCRISIS periods. The nonlinear causality test findings indicate that the joint information of asset markets can be a useful source of prediction for future innovation of market risks. Additionally, policy makers may also be able to employ conditional volatility and volatility connectedness as two other measures to manage market stability in the cross-asset market dependence during highly volatile periods.

One major take away from this academic research is since international portfolio investors are not only concerned the long-term price relationship but also the correlation structure and volatility spillover-connectedness, the conditional BEKK modeling, generalized risk connectedness analysis and nonlinear causal dependence explorations from this multi-country study can shed fresh light on the nature of market interdependence and magnitude of volatility connectedness effects in a multi-portfolio framework.

The hedging performance analysis for portfolio diversification and risk management indicates that industrial stocks (“pure” equities) are valuable assets that can improve the hedging performance of a well-diversified corporate equity-public real estate portfolio during crisis periods. For policymakers, the findings provide important information about the nature of causal links and predictability during the crisis and asset-market boom periods. They can then equip with this information to manage and coordinate market stability in cross corporate equity-real estate relationships effectively.

Although traditional research has in general reported at least a moderate degree of relationship between the two asset markets, investors' knowledge of stock-public real estate market linkage is somewhat inadequate and confine mostly to broad stocks (i.e. stocks that are exposed to public real estate influence) in a single-country context. In this paper, the authors examine the interdependence dynamics in a multi-country (multi-portfolio) context. A clear understanding their changing market relationships in a multi-country context is of crucial importance for portfolio investors, financial institutions and policy makers. Moreover, since the authors use an orthogonal stock market index, the authors allow global investors to understand the potential diversification benefits from stock markets that are beyond the public real estate market under different market conditions.

The purpose of this paper is to investigate the volatility spectral of five major public real estate markets, namely, the USA, the UK, Japan (JP), Hong Kong (HK), and Singapore (SG), during the pre- and post-global financial crisis (GFC) periods.

First, univariate spectral analysis is concerned with discovering price cycles for the respective real estate markets. Second, bivariate cross-spectral analysis seeks to uncover whether any two real estate price series share common cycles with regard to their relative magnitudes and lead-lag patterns of the cyclical variations. Finally, to test the contagion effects, the authors estimate the exact percentage change in co-spectral density (cyclical covariance) due to high frequencies (short run) after the GFC.

The authors find that whilst none of the public real estate markets examined are spared from the crisis, the three Asian markets were less severely affected by the GFC and were accompanied by a reversal in volatility increase three years post-global financial crisis. Additionally, the public real estate markets studied have become more cyclically linked in recent years. This is particularly true at longer frequencies. Finally, these increased cyclical co-movements measure the outcomes of contagion and indicate fairly strong contagious effects between the public real estate markets examined due to the crisis.

The implication of this research is that benefits to investors from international real estate diversification may not be as great during the present time compared to previous periods because national public real estate markets have become more correlated. Nevertheless, the findings do not imply the complete absence of diversification benefits. This is because although cyclical correlations increase in the short run, many of the correlation values are still between low and moderate range, indicating that some diversification benefits may still be realized.

Given the significant market share and the highest levels of securitization in Asia-Pacific markets including JP, HK/China, and SG, this cyclical research including major public real estate markets has practical implications for ongoing international real estate investment strategies, particularly for the USA/UK and Asian portfolio managers.

This paper contributes to the limited research on the cyclical return and co-movement dynamics among major public real estate markets during financial/economic crisis in international finance. Moreover, the frequency-domain analysis conducted in this paper adds to better understanding regarding the impact of GFC on the cyclical return volatility and co-movement dynamics of major developed public real estate markets in international investing.

Evaluation of risk/return relationship in public real estate market in the UK is vital for investors. In particular sector risk is being assessed, which is increasingly important due to expansion of index linked investments. The aim of this paper is to assess the risk inherent in public real estate securities.

To extract the specific/systematic risk from UK FTSE Real Estate Index (FTSERLT), the single index model (SIM) is employed over the period 1986‐2003. Four benchmark indices are used for this purpose in line with previous studies. The main part of the analyses is to find the index which best distinguishes between the systematic and specific factors affecting the real estate index. Monthly data are collected and grouped into one‐, three‐ and five‐year periods so that short‐ and long‐term trends are better observed and identified.

The findings show that the link between FTSERLT and all four indices has been declining over the observed period. In addition, it is noticed that the high and irregular specific risk levels in the sector over the last 15‐year period have created some form or “risk cycle”. In case of downturn on the market, it is identified that public real estate is more vulnerable than private market due to its high liquidity. This is identified as a major threat to its long‐term sustainability.

A unique breakdown of specific and systematic risk has been given based on three different duration periods and four benchmark indices. A particular attention has been given to the periods characterized with greater specific risk element. The paper has supported the existence of the “common real estate risk element” between public and private markets by establishing a strong correlation between public and private markets by establishing a strong correlation between the performance of direct real estate monthly market index (IPDMI) and abnormal performance (Alpha) of the public real estate sector.

The purpose of this paper is to investigate the cross-spectra of stock, real estate and bond of ten selected Asian economies in the pre- and post-global financial crisis periods to detect whether there is greater cyclical co-movement post-financial crisis, and whether any observed increased co-movement measures the outcomes of contagion or integration.

Co-spectral approach is the proper econometric tool to deliver economic insight for this research.

Results indicate that Asian stock markets, and to a lesser degree, bond and real estate markets are more correlated post-financial crisis. Similarly, Asian financial markets have experienced increased co-movements with the US financial markets post-financial crisis. Moreover, these observed increased co-movements measure the outcomes of contagion in some cases of within-asset and cross-asset classes, as well as for some cross-US-Asian asset factor relationships along the high-frequency components of between two and four weeks. The stock markets are the most contagious, followed by the real estate markets and bond markets.

The results provide short-term investors with additional co-movement information at higher frequencies in order to identify short-term fluctuations of different asset classes. The empirical study also underscores the role of Asian real estate in investment portfolios in a mixed real estate, stock and bond context from a frequency domain perspective.

The practical implication of this research is that benefits to investors from international diversification may not be as great during the present time compared to previous periods because financial/asset market movements have become more correlated. However, it does not imply the complete absence of diversification benefits. This is because although cyclical correlations increase in the short run, many of the values are still between low and moderate range, indicating that some diversification benefits may still be realized.

In advancing the body of knowledge in international financial markets, this research is probably the first study to consider a multi-asset class portfolio context that includes stock, real estate and bond across the ten Asian economies and the USA in a single study. The frequency domain analysis conducted in this paper adds to the understanding of real estate, stock and bond market co-movement, integration and contagion dynamics, as well as the Asian cross-asset factor and US-Asian asset factor relationships in global mixed-investing environment.

The aim of this study is to shed light on the relative importance of Chinese (Mainland China and Hong Kong: CH-HK) foreign direct investments (FDIs) in real estate (FDIRE) on the dynamics of Asia-Pacific (APAC) public real estate markets after the Global Financial Crisis.

Using a parsimonious real estate asset-pricing model including macroeconomic risk factors, the authors develop a metric to measure FDIs in the real estate sector. The authors use a panel VAR approach based on robust econometric methodology (generalized method of moments) and deal with potential endogeneity and an eventual causality problem. The authors also compute multiple metrics to measure the Chinese, US and Japanese FDIs in the real estate sector.

The study results report a positive significant impact of CH-HK FDIRE on APAC public real estate returns, while FDIRE originating from outside China are not significant. The authors also show that Chinese investors use the channel of FDIs in Diversified Listed Property Companies (LPCs) and Hotel and Family LPCs to gain exposure to the APAC real estate markets. The study results suggest that APAC property markets are mainly impacted and emphasize the importance of an intercontinental diversification strategy for investors in LPCs in the APAC region.

Contrary to Bond et al. (2003) who identified that APAC public real estate markets were overwhelmingly idiosyncratic in the decade preceding China's WTO membership (1990–2001), the study findings underline that Chinese FDIRE became a common factor affecting all eight markets in this study in the decade following the global financial crisis (2007–2017). The results emphasize the importance of an intercontinental diversification strategy for investors in LPCs in the APAC region.

The authors use a parsimonious model, introduce metrics to measure FDIRE and apply a panel VAR approach based on a robust econometric methodology to shed light on China's economic globalization strategy on Asia-Pacific public real estate markets after the GFC. The study results highlighting the major impact of CH-HK FDIRE on securitized real estate market returns dynamics, identify the existence of an Asian common factor driven by Chinese FDI inflows into neighbouring countries.

This research aims to investigate whether and to what extent the co-movements of cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles are linked across G7 from February 1990 to June 2014.

The empirical approaches include correlation analysis on Hodrick–Prescott (HP) cycles, HP cycle return spillovers effects using Diebold and Yilmaz’s (2012) spillover index methodology, as well as Croux et al.’s (2001) dynamic correlation and cohesion methodology.

There are fairly strong cycle-return spillover effects between the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles. The interactions among the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles in G7 are less positively pronounced or exhibit counter-cyclical behavior at the traditional business cycle (medium-term) frequency band when “pure” stock market cycles are considered.

The research is subject to the usual limitations concerning empirical research.

This study finds that real estate is an important factor in influencing the degree and behavior of the relationship between cross-country business cycles and cross-country stock market cycles in G7. It provides important empirical insights for portfolio investors to understand and forecast the differential benefits and pitfalls of portfolio diversification in the long-, medium- and short-cycle horizons, as well as for research studying the linkages between the real economy and financial sectors.

In adding to the existing body of knowledge concerning economic globalization and financial market interdependence, this study evaluates the linkages between business cycles, stock market cycles and public real estate market cycles cross G7 and adds to the academic real estate literature. Because public real estate market is a subset of stock market, our approach is to use an original stock market index, as well as a “pure” stock market index (with the influence of real estate market removed) to offer additional empirical insights from two key complementary perspectives.

This paper aims to investigate the impact of leverage on the total shareholder return of European publicly traded real estate vehicles in three periods: Crisis Period (2007-2009), Rebound Period (2009-2014) and the Whole Period.

Cross-sectional analysis is used and the leverage effect on the performance is controlled for seven other independent variables (local market risk premium, size, book-to-market, short-term debt, cash); moreover, regional differences are accounted for.

It is established that during the Crisis Period, leverage levels are negatively associated with performance: this relationship also holds throughout the Whole Period, implying that for real estate securities, the cost of financial distress is larger than the potential gain from taxation, although the economic significance of it is limited. The Fama and French (1992) three factors, including size, book-to-market and local market risk premium, are found to be relevant, which is consistent with the literature. In addition, the UK and Sweden regions are identified as significant.

Even if there is sizeable body of literature on determinants of leverage and determinants of asset returns, little work has been done on how leverage affects the returns of European real estate companies. In addition, this paper takes advantage of observations from a full economic cycle and the possible effects of the crisis period.

The paper aims to form system dynamics modeling in introduced in conjunction with econometric analysis and planned scenario analysis which will uniquely structure the process whereby the ex ante capital values of the prime retail real estate sector.

The integrated system dynamics model investigates the structural factors affecting a unique expectation‐centered capital value (CV) formation of the prime retail real estate sector, through system dynamics modeling, econometric analysis , and the analysis of planned scenarios. This model extends beyond the usual lags and time line aspect of the price discovery process. The retail real estate sector is investigated within the Singapore context, as this sector changes dynamically and non‐linearly in relation to rental, cost and general demand expectations and to exogenous shocks like the Severe Advanced Respiratory Syndrome (SARS) outbreak. These macroeconomic factors are introduced to investigate their impact on retail space CVs through sensitivity analysis, during the simulation period of 20 quarters from the zero reference quarter (2Q2002).

The paper finds that simulation runs of the expectations‐centered system dynamics model are based on three scenarios. Sensitivity analysis is conducted for each scenario. Optimistic scenarios' CVs are lower than those of the likely scenario, owing to developers forming excessively high expectations that cannot be met by the actual rental levels. Pessimistic scenarios' CVs are highest. Based on bounded logic and the conditions for all scenarios, there are huge differences in expectations resulting in a large disparity in the endogenous CVs. Low actual rents are primarily due to poor informational efficiency, as the prime retail real estate sector is not transparent enough, and that many transactions are privately closed. Expectations cannot be met as the market information is not disseminated extensively through the agents and players. The scenarios clearly highlight the problem of informational non‐availability in the sector. The main policy implication is a need for a more transparent system of sharing rental and pricing information for the retail real estate sector, which is meaningful for real estate developers, investors and urban planners to sustain the retail real estate sector's viability.

This paper takes system dynamics modeling to the next level of incorporating econometric analysis, to estimate the sensitivity of retail rent to cost and the change in retail rent, for effectively structuring the dynamic process whereby the ex ante CVs of the prime retail sector in Singapore are formed and assessed, through a unique and rigorous expectations‐centered system dynamics model of rents, cost, retail stock, general demand and exogenous factors.

This paper examines the extent of the short-run relationship between Australian real estate investment trusts (A-REITs) and direct real estate returns on both a commercial property sector and a prime and secondary grade basis, i.e. a subsector basis.

Two-step methodology is used. First, we identify the dynamic interdependencies between A-REITs and each commercial property subsector to determine whether the returns of A-REITs lead each subsector or vice versa. Second, short-run deviations between these asset returns are estimated by measuring their individual response behaviours to changes in key economic and financial market factors that are expected to influence these returns.

Results suggest that each subsector shares a unique relationship to A-REITs, given each prime and secondary grade commercial property return series varies in behaviour. Some property subsector returns can be predicted by movements in A-REIT returns, whereas returns for others move independent to changes in A-REITs. Similarly, some subsectors commove with A-REITs in response to changes in certain market factors, whereas others diverge. As such, these findings have practical significance to fund managers and portfolio selection, as each commercial subsector embodies its own exposure to A-REITs and vulnerabilities to market forces. Subsectors that commove with A-REITs in response to certain market forces may be used as substitutes in a portfolio. Alternatively, subsectors that diverge from A-REITs in response to market forces may offer diversification benefits when combined.

These findings extend beyond existing research to offer critical decision-making guidance at the acquisition level, as fund managers may more closely consider the impact that prime or secondary grade properties within a given commercial sector may have on a portfolio that consists of public and private Australian real estate. Ultimately, a more informed acquisition may be carried out as consideration of a property's asset grade allows for a deeper insight into the property's risk profile and its anticipated short-run impact on a portfolio.

This paper extends previous studies that focus mostly on aggregate or sector-level returns by measuring REIT and real estate dynamics at the subsector level, allowing for practical significance at not only the portfolio level but crucially at the acquisition level, a pivotal decision-making stage for fund managers. This is also the first paper to study REIT and real estate causality and response patterns to changes in market factors at the Australian sector level.