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This paper aims to examine the dynamic of volatility of Malaysian listed property companies within pan-Asian public property markets based on different volatility perspective over the past 18 years, especially during the global financial crisis (GFC).

This study uses several statistical methods and formulas for analysing the dynamic of volatility of Malaysian listed property companies such as exponential generalised autoregressive conditional heteroscedasticity (EGARCH) and Markov-switching (MS) EGARCH. The MS-EGARCH model provides new insights on the volatility dynamics of Malaysian listed property companies compared to conventional volatility modelling techniques, particularly EGARCH. Additionally, this paper will analyse the volatility movement based on three different sub-periods such as pre-GFC, GFC and post-GFC.

The findings reveal that the markets perform differently under different volatility conditions. Moreover, the application of MS-EGARCH provides a different view on the volatility dynamics compared to the conventional EGARCH model, as MS-EGARCH provides more comprehensive findings, especially during extreme market conditions.

This study contributes to the literature on the dynamics of Malaysian listed property companies within pan-Asian countries, as the approach for assessing the volatility performance based on different volatility conditions is less explored by previous researchers.

The study investigates the co-movements amongst real estate investments trust (REITs). This study examines the co-movements between the world and individual countries' REITs and the co-movements amongst country-pair REITs. This study explores the responsiveness of the REITs markets' co-movements to the 2008 global financial crisis (GFC), the coronavirus disease 2019 (COVID-19) pandemic and the Russian–Ukraine conflict.

The study employs a wavelet coherency technique and relies on data from six REITs markets over the 1995–2022 period.

The evidence shows a generally high level of coherency between the global and the country's REITs. The findings further indicate higher co-movements between some country pairs and a lower co-movement for others. The results suggest that the REITs markets increased in co-movements around the 2008 GFC, the COVID-19 pandemic and the Russian–Ukraine conflict. These increased co-movements mostly lasted for a short period suggesting REITs markets contagion around these global events. The results generally suggest interdependence between the global and the country's REITs. Additionally, interdependence is observed for some of the country-pair REITs.

The evidence indicates that REITs markets respond to global events. Thus, the increasing co-movement amongst REITs observed in this study may expose domestic REITs to global crisis. However, this study provides opportunities for minimising the cost of capital for real estate projects. Also, REITs provide limited diversification gains around crisis times. Therefore, countries need to open the REITs markets to global investors whilst pursuing policies to ensure the resilience of the REITs markets to global events. Investors should also take note of the declining geographic diversification gains from some country-pair REITs portfolios.

This paper employs a Generalised Autoregressive Conditional Heteroske‐dasticity in Mean (GARCH‐M) model to consider the effect of macroeconomic factors on Australian property returns over the period 1985 to 2002. Three direct (office, retail and industrial property) and two indirect (listed property trust and property stock) returns are included in the analysis, along with market returns, short, medium and long‐term interest rates, expected and unexpected inflation, construction activity and industrial employment and production. In general, macroeconomic factors are found to be significant risk factors in Australian commercial property returns. However, the results also indicate that forecast accuracy in these models is higher for direct office, listed property trust and property stock returns and that the persistence of volatility shocks varies across the different markets, with volatility half lives of between five and seven months for direct retail and industrial property, two and three months for direct office property and less than two months with both forms of indirect property investment.

This study examined the dynamic role of the Japanese property sector, particularly the real estate investment trusts (REITs), in mixed-asset portfolios of stocks and bonds, as well as office, retail, hotel and residential REITs.

Daily data were retrieved from 01 January 2008 to 31 December 2019. The sample time frame consisted of in-sample and out-of-sample periods. The dynamic conditional correlation-generalised autoregressive conditional heteroskedastic (DCC-GJRGARCH) model was deployed to obtain the forecast estimates of time-varying volatility of REITs and correlations with other assets. The estimates were employed to construct out-of-sample portfolios based on the three assets for daily investment. The five sets of portfolios with each individual property sector REITs, as well as a portfolio of stocks and bonds that served as a benchmark, were produced. The average utility for each set of portfolios was estimated and compared with the average utility of the benchmark portfolio. The average transaction cost (TC) for portfolio rebalancing was calculated as well.

The forecast of volatility estimates for each property sector revealed that each asset displayed a similar pattern with the differences in the volatility magnitude. Notably, hotel and retail REITs were more volatile than other property sector REITs. The property sector REITs exhibited a positive correlation with stocks but negatively linked with bonds. The results unveiled the diversification benefits of incorporating property sector REITs. The portfolio with property sector REITs had higher risk-adjusted returns and utility, compared to portfolio consisting of stocks and bonds. The benefits outweighed the TC for portfolio rebalancing.

This study highlights the importance of quantifying the conditional time-varying volatility and correlations of the property sector REITs with other asset returns, especially for investment decision, to select and include property sector REITs in mixed-asset portfolios. For fund managers seeking liquid assets in daily investment, this analysis suggests the inclusion of hotel and retail REITs to enhance REITs' portfolio performance.

This study is the first to investigate the dynamic characteristics of the volatility and correlation of each property sector REITs with other financial assets by employing the conditional framework that accounted for short- and long-run persistency in economic shocks. The reported outcomes shed light on the differences in the underlying properties that contribute to the variances in dynamic volatility of each sector REITs, as well as REITs' correlations with stocks and bonds. This application enables the authors to transmit the dynamics of variance-covariance matrix amongst each property sector REITs, stocks and bonds into asset allocation problem on a daily basis.

The proportion of real estate in a non‐property company’s asset portfolio has increased to an extent where it has become an asset capable of enhancing corporate wealth. This initial study hopes to establish the foundation and provide background information on corporate real estate holding profiles of listed Singapore business firms. Using financial statement data and firm market values from 1987 to 1996, this paper provides an analysis of real estate holdings in both absolute and relative terms. Real estate holdings by business segment and asset subtype, growth in corporate real estate holdings over time; and key financial characteristics of corporate real estate (eg real estate as a percentage of shareholders’ equity and real estate relative to market value of the firm) are included in the paper.

Corporate real estate (CRE) refers to the land and buildings owned by companies not primarily in the real estate business. Given a large concentration of corporate wealth in real estate and that management is committed to increasing shareholders’ wealth, this paper identifies and discusses three major issues regarding the authors’ understanding of strategic CRE analysis and management from the perspectives of end‐users, corporate finance and capital markets. The paper reviews recent studies and evidence related to these questions and considers future research that promises to be challenging and fruitful.

As an asset class, listed property companies (PCs) in the emerging Asian markets have taken on increased significance in recent years. Investors have seen Indonesian real estate investment trusts (REITs) being regulated to become a property investment vehicle in 2007. This sees macro-environment investment in the Indonesian property market taking off to a higher level regionally. In the background, Indonesian listed PCs maintain as one of the major investment vehicles for local and international investors. It has also been the subject of investment for REITs and property investment funds in Indonesia. The purpose of this paper is to assess the dynamics of risk-adjusted performances and portfolio diversification benefits of listed PCs in a mixed-asset portfolio context in Indonesia, from July 2006 to December 2018. The sub-periods of pre-global financial crisis (GFC), GFC and post-GFC of listed PCs is also assessed.

Using monthly total returns, the risk-adjusted performance and portfolio diversification benefits of listed PCs from July 2006 to December 2018 are assessed, with extended efficient frontiers and asset allocation diagrams used to assess the role of listed PCs in a mixed-asset portfolio. Sub-period analyses are conducted to assess the post-GFC recovery of listed PCs.

Listed PCs delivered higher returns but carried higher risks compared to stocks before the GFC, with bonds having both the lowest returns and risks. The impact of the GFC was highest for Indonesian PCs compared to stocks, where properties did not deliver strong risk-adjusted returns. Notwithstanding the poor risk-adjusted performance, Indonesian PCs had low correlations with stocks and bonds, suggesting some level of diversification potential for stock and bond investors. Stocks outperformed listed PCs across the sub-periods and the full period. Over the post-GFC period, both stocks and listed PCs recovered from the crisis, with stocks turning around stronger. This analysis shows a prolonged recovering and slow bouncing adjustment of listed PCs from the economic changes. This research suggests selected listed PCs may be the outperformers, and, a future contract as a hedge form for listed PC to be implemented.

The use of the indices of Standard & Poor’s Indonesian property total return (for listed PCs) are as follows: MSCI Indonesia total return (for stocks), Indonesia’s ten-year bond’s total return (for bonds) and Indonesia’s three-month bill total return (for cash). This is used to study the Indonesian listed PCs and may have aggregation effects in its underperformance and therefore drawing a negative outcome. The results may reflect the common fact that the majority of listed PCs in Indonesia are property developers, which also sees underperformances in other emerging country markets.

Listed PCs have been under increasingly adjusted and positively adapted regulations from the Indonesian Government over the post-GFC period. Therefore, in order to attract interest from international investors in property investment in Indonesia, listed PCs need stronger and more efficiently adapted regulations to a competitive level of respective regulations in the region and globally. Notwithstanding the poor performance in the transitional stage, Indonesian listed PCs bring some diversification benefits to local investors who are able to pick the outperformed invested PCs at the right time. Of the on-going concerns, international investors have no restrictions on holding listed PCs in the Indonesian stock market. This provides room for improvement in business performance in listed PCs as a result of regional/global competition and international management being involved. The present study delivers awareness to investors, researchers as well as policymakers on the Indonesian property market.

This paper is the first published to present a country profile of significant property vehicles (commercial property, listed PCs and REITs). It also presents empirical research analysis of the risk-adjusted performance of listed PCs and its dynamic role in a local investors’ perspective across the pre-GFC, GFC, post-GFC periods. Given the significance of listed PCs in Asia, this research highlights more information for opportunities and on-going property investment issues in Indonesia.

This study aims at testing the relationship between corporate real estate (CRE) investment and firm performance of nonfinancial firms in the context of an underdeveloped market, Pakistan.

This study uses a sample of 307 nonfinancial firms listed at the Pakistan Stock Exchange from 2010 to 2020. This study adopts a rigorous methodological approach and employs ordinary least square, fixed effect, generalized method of moments system regressions and the propensity score matching technique to account for potential heteroskedasticity, effects of unobserved variables and endogeneity.

This study finds that as the investment in CRE increases, the firm’s performance decreases. The findings are robust to alternative proxies of CRE investment and alternative methodologies. Furthermore, the findings hold for financially constrained and financially unconstrained firms, high- and low-growth firms and safe and financially distressed firms.

This study extends the evidence about CRE investment in an underdeveloped market and suggests potential avenues for future research.

The findings of this study warrant investors, managers and directors be cautious about CRE investment in firms.

This study uses a new proxy of CRE investment, which is more inclined toward the asset management and financial perspective of CRE investment. Furthermore, to the best of the authors’ knowledge, this is the first attempt to investigate the role of CRE investment in an underdeveloped 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 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.