This study examines how Islamic and conventional technology stock indices interact with blockchain technology assets including Metaverse, High-Performance Blockchain, and Blocknet, throughout different market conditions and horizons. A three-pronged approach is employed, namely the quantile cross-spectral coherency approach, the time-varying parameter vector autoregressions (TVP-VAR), and the Causality in quantiles methodology. The quantile coherency results show that connectivity between new generation blockchains and conventional and Islamic markets varies. It was found that the connectedness of the network of variables rises in the medium run and reaches its peak in the long run as a result of the TVP-VAR approach. It is evident from the results that the application of sharia screening only impacts the relationship between the technology stock index and digital assets significantly, but does not affect the connectedness and causality between the two. Technology managers, policymakers, and blockchain designers are able to gain new insights from these research findings.

本研究探讨了伊斯兰和传统技术股票指数如何在不同的市场条件和视野下与 Metaverse、高性能区块链和 Blocknet 等区块链技术资产相互作用。采用三管齐下的方法，即分位数跨谱一致性方法、时变参数向量自回归（TVP-VAR）和分位数因果关系方法。分位数一致性结果表明，新一代区块链与传统市场和伊斯兰市场之间的连接性有所不同。研究发现，由于 TVP-VAR 方法，变量网络的连通性在中期上升，并在长期达到顶峰。结果表明，伊斯兰教法筛选的应用仅显着影响科技股指数与数字资产之间的关系，但不影响两者之间的关联性和因果关系。技术管理者、政策制定者和区块链设计者能够从这些研究结果中获得新的见解。