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This study aims to investigate the co-movement and information transmission between conventional and Islamic equity indices in Sri Lanka.

This study uses daily data of All Share Price Index and Dow Jones Islamic Market Sri Lanka Index from 2013 to 2023 for conventional and Islamic proxies. Descriptive statistics, cross-correlation, dynamic conditional correlation (DCC)-GARCH and wavelet analysis were used for the investigation.

Analyses reveal synchronous correlation yet lead-lag dynamics between the indices. The Islamic index has lower volatility, clustering and persistence than the conventional index. Localized volatility patches and scale-dependent synchronicity suggest diversification opportunities to optimize risk-adjusted returns.

The insights from this study are important for investors to optimize diversified portfolios by exploiting time-varying correlations. The identified lead-lag dynamics, bidirectional information flows and scale-dependent synchronization between the indices enable both investors to predict market movements for effective asset allocation and regulators to monitor market efficiency and stability and implement shock mitigation measures.

This study uniquely integrates DCC-generalized autoregressive conditional heteroskedasticity (GARCH) and wavelet analysis to examine the dynamic, time-varying relationships between Islamic and conventional equity markets in Sri Lanka’s dual financial system. This approach helps embrace both short-run changes and long-run movements to gain in-depth co-movement and spillovers, as well as potential diversification gains within an emerging financial market.

This study aims to present a research model to investigate the potential impact of human capital, structural capital and social capital on e-banking proactiveness. In addition, it reveals the potential impact of e-banking proactiveness on competitive intelligence and competitive agility. Also, it aims to explore the impact of competitive intelligence on competitive advantage and competitive agility. Finally, the impact of competitive agility on competitive advantage will be examined.

In order to gather data, a questionnaire was prepared and administered to 211 respondents in Jordan. The research model and hypotheses were then assessed using Structural Equation Modeling – Partial Least Squares (SEM-PLS).

The study demonstrated a significant impact of human capital, structural capital and social capital on e-banking proactiveness. The findings confirm that e-banking proactiveness significantly impacts competitive intelligence and achieving competition. Moreover, the findings confirm that competitive intelligence significantly impacts competitive agility. Also, the findings revealed a substantial relationship between competitive intelligence and competitive advantage. Finally, the results discovered that competitive agility significantly impacts competitive advantage.

The research gives valuable insights into the elements that drive e-banking proactiveness, which can beautify the proactiveness literature is well-known. By uncovering the position of intellectual capital in fostering proactiveness, this examination contributes to deeper information on the way financial institutions can successfully respond to market modifications, patron needs and technological advancements. Future scholars can build upon these findings to discover proactiveness in different sectors and industries, thereby broadening the understanding of proactive behaviors throughout numerous contexts.