Purpose: This study aims to explore the impact of regional green economies and communities on global sustainability. This study attempts to show if the empirical results align with the regional sustainable development policy and practices. Design/methodology/approach: Empirical analyses are conducted through time-varying correlations, structural break tests and volatility modeling. As a public health indicator, the community variable is proxied by the daily COVID-19 cases. Findings: According to the results, the US green economy and global sustainability relationship exhibit a greater variety than that of Europe and Asia regions. Volatility modeling reveals that green economies are significant variables for each region in accounting for the changes in global sustainability. Europe and Asia have the highest and lowest effects in this interaction, respectively. The results are consistent with the carbon emission statistics of the regions studied and the government’s efforts to promote sustainable development. Furthermore, this study supports the efforts of the European Union to tackle climate and environmental issues, as well as create a resource-efficient economy and truly prosperous society. Originality/value: This study presents empirical findings concerning global sustainability by providing evidence from three regions. The outcomes on the extent of regional contribution to global sustainability may lead the policymakers to develop new strategies in the management of turmoil periods such as a pandemic.

Utilizing blockchain technology is transforming traditional business practices into a new paradigm, giving rise to what we refer to as blockchained models. This paper uses wavelet coherence analysis to identify the connectedness of blockchained sectoral indices with Bitcoin and the Fear and Greed Index that represents investor sentiment in the cryptocurrency market. Results show persistent and positive correlations between sector returns and investor sentiment and sectoral return series lead investor sentiment. The relationship between Bitcoin and sectoral indices is consistent for return series and suggests an in-phase (positive) relationship between these variables at all frequencies. We usually have found negative correlations for the co-movements of investor sentiment and sectoral volatility, where investor sentiment leads to sector return volatilities. The application of blockchain technology across various sectors, coupled with the proliferation of altcoins, appears to drive distinct price developments in these cryptocurrency sectors. These developments are predominantly influenced by sentimental factors, often diverging from the trends of Bitcoin.

Fractal Structure of the Stock Markets of Leading Asian Countries-Fractal Structure, Long Memory, Fractal Dimension, Self-Similarity, Asian Stock Markets