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This paper aims to investigate the network structure of connectedness among global index futures markets in different distress periods. In this purpose, this employs the multivariate DECO-GARCH model of Engle and Kelly (2012) and the spillover index method of Diebold and Yilmaz (2014). From empirical analysis, this paper finds an evidence of a positive equicorrelation among global index futures, implying the contagion effect in global index futures markets. The spillover connectedness is intensified due to recent market distress, i.e., the 2008-2009 GFC, the 2010-2012 ESDC, the collapse of Chinese stock market in 2015, and the US FRB interest rate hike in 2018. Further, this paper measures the direction and strength of volatility connectedness assessed by the net pairwise directional spillover indexes. Thus this paper identifies the net spillover connectedness (transmitter/receiver) across global index futures markets. Finally, this paper shows the network structure of spillover connectedness in different market distress periods, and provides the channels of spillover connectedness across global index future markets.

The purpose of this paper is to investigate the global influence of crude and refined oil futures prices on Dow Jones Islamic equity indices (DJIMI) during the recent global financial crisis under structural breaks in the conditional volatility of oil futures prices.

It aims at exploring the long-run and the short-run elasticity and causal relationships using an ARDL bound testing approach and a vector error correction model.

The main findings confirm the presence of long-run relationship for DJIM emerging markets index compared to other global and sub-regional developed indexes. Speed of adjustment to the long-run equilibrium is moderate and the effect of structural breaks, produced from nonlinear volatility model with long memory (LM), is overall not pronounced for that relationship. Short-run causality is bi-directional but long-run Granger causality does not run from refined oil to the DJIMI and crude oil.

The paper demonstrates the implicit extent of international financial integration of Islamic stock markets in light of the global influence of oil prices.

The findings offer some highlights to researchers, portfolio managers and policymakers.

The paper gives an answer to an identified need to test the position of Islamic equity markets as booming Islamic investment and socially responsible investment areas to the global influence of the new soaring path of oil markets. It uses as well bounds testing approach and tests weak and strong causalities under structural breaks. It considers as well LM behavior in oil prices along with the asymmetry property in oil prices.

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.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

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.

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.

Within the context of ESG (Environment, Social and Governance), environmental sustainability has taken on increased global importance in recent years. Similarly, real estate investment managers in developing their global real estate investment portfolios need a fuller understanding of the ESG and environmental sustainability dimensions of these global real estate markets for more informed real estate investment decisions. Using the JLL GRETI sustainability sub-index, this paper examines the environmental sustainability transparency status of 99 global real estate markets over 2016–2020 and explores various strategic issues regarding ESG and environmental sustainability; particularly the critical issues relating to climate risk mitigation, climate resilience and zero-carbon. The current status of environmental sustainability in these 99 real estate markets is assessed, with areas for “best practice” improvement identified to the benefit of real estate investment managers; particularly the improvements needed in ESG to support real estate investment in the emerging real estate markets.

The JLL GRETI sustainability sub-index is analysed to examine strategic issues relating to environmental sustainability transparency. 99 real estate markets are assessed globally for a range of critical ESG issues over 2016–2020. Differences between the developed and emerging real estate markets are highlighted.

Considerable variation was seen in the ESG and environmental sustainability practices, procedures and frameworks across these 99 real estate markets. This was particularly evident amongst the emerging real estate markets. Compared to the other five dimensions for real estate market transparency, environmental sustainability was seen to be well behind these other dimensions in most markets. Progress has been made in recent years, but it has been slow and steady rather than at a dynamic level. Clearly, more is needed globally to enhance the stature of environmental sustainability in the context of an increasing focus on ESG and specifically on climate risk mitigation, climate resilience and zero-carbon in real estate investment.

With ESG and environmental sustainability taking on increased importance across the international real estate markets, it is important that real estate fund managers have a full understanding of the ESG and environmental sustainability status of these real estate markets where they may be considering real estate investment opportunities; this includes both the developed and emerging real estate markets. This is essential to ensure future capital raising for new funds, as well as supporting the global ESG agenda by the real estate investment community. Specific strategies are also identified for emerging real estate markets to improve their environmental sustainability practices and ESG status.

This is the first paper to use the JLL GRETI sustainability sub-index to assess the environmental sustainability status of 99 real estate markets globally; providing strategic insights for real estate investment managers as they develop their global real estate portfolios and more fully embrace the challenges of ESG and environmental sustainability in the real estate space going forward. Specific strategies are clearly identified for all markets to improve their environmental sustainability ratings to the benefit of both global real estate investment and the broader communities.

This study aims to investigate the co-volatility patterns between cryptocurrencies and conventional asset classes across global markets, encompassing 26 global indices ranging from equities, commodities, real estate, currencies and bonds.

It used a multivariate factor stochastic volatility model to capture the dynamic changes in covariance and volatility correlation, thus offering empirical insights into the co-volatility dynamics. Unlike conventional research on price or return transmission, this study directly models the time-varying covariance and volatility correlation.

The study uncovers pronounced co-volatility movements between cryptocurrencies and specific indices such as GSCI Energy, GSCI Commodity, Dow Jones 1 month forward and U.S. 10-year TIPS. Notably, these movements surpass those observed with precious metals, industrial metals and global equity indices across various regions. Interestingly, except for Japan, equity indices in the USA, Canada, Australia, France, Germany, India and China exhibit a co-volatility movement. These findings challenge the existing literature on cryptocurrencies and provide intriguing evidence regarding their co-volatility dynamics.

This study significantly contributes to applying asset pricing models in cryptocurrency markets by explicitly addressing price and volatility dynamics aspects. Using the stochastic volatility model, the research adding methodological contribution effectively captures cryptocurrency volatility's inherent fluctuations and time-varying nature. While previous literature has primarily focused on bitcoin and a few other cryptocurrencies, this study examines the stochastic volatility properties of a wide range of cryptocurrency indices. Furthermore, the study expands its scope by examining global asset markets, allowing for a comprehensive analysis considering the broader context in which cryptocurrencies operate. It bridges the gap between traditional asset pricing models and the unique characteristics of cryptocurrencies.