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IntroductionThe correlation of global equity markets has been a long-term research topic for investors seeking the optimum combination of risk diversification and maximum return. The quantitative analysis of international diversification dates back at least to Henry Lowenfeld's (1909) study of equalweighted, industry-neutral, risk-adjusted, international diversification strategies, using price data from the global securities trading on the London Exchange around the turn of the century. He illustrates the imperfect co-movement of securities from various countries. In general, global equity markets and regional markets are often correlated with one another, especially in times of economic recession with prominent contagion and spillover effects. Listed real estate companies are considered attractive because of their liquidity, and exposure to underlying real estate returns. Since the evolution of the modern-REIT era in 1992 in the US, there has been a significant increase in market capitalisation, both in absolute terms and relative to the general equity market, as well as improvements in liquidity. But, with respect to previous findings about the correlation and comovement in equity markets during times of stress, how have listed real estate markets been affected by the global financial crisis ( Even in relatively stable periods, co-moving trending behaviour can be found across equity markets for stock returns, volatility, and trading volumes. Singh, Kumar and Pandey (2010) examine the stock returns volatility spillover effects across fifteen stock markets of North America, Europe and Asia employing a vector auto regression model, which is used to capture the linear interdependencies among multiple time series data. This paper uses liquidity measures which do not require microstructure data that might not be available on a comparative level for international markets. While most other studies have focused on risk and return, this research explores co-movements in market liquidity in different securities markets. The first section starts by analysing the dependence of liquidity on key variables namely geography and company size and explores the differences in market liquidity during three time intervals between 20002 -2014. The next section of the research links liquidity drivers and performance.By classifying the data of 60 global companies into different groups to distinguish samples by country of origin and size, the paper analyses the impact of the so-called small cap effect on l...