This study adopts a systematic approach to examine diversification opportunities among non-conventional assets and emerging stock markets, addressing a gap in existing literature that rarely considers technology-oriented and sustainability-led funds together in a unified framework. It explores the dynamics of volatility spillovers and causal linkages between technology-focused funds, sustainability-led investments, and emerging market equities. Specifically, the analysis considers FinTech and robotics (ROBT) as representatives of technology-driven funds, QGREEN as a sustainable investment fund, and the MSCI Emerging Markets Index as a proxy for emerging market equities. A sequential econometric methodology is employed: Granger causality tests identify the direction of interlinkages among the selected assets, followed by a time-varying Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH (1,1)) model to assess co-movements and diversification potential over time. The findings reveal that sustainable assets (QGREEN) consistently provide superior diversification benefits, particularly during periods of heightened market volatility, offering novel empirical evidence on their comparative advantage over technology-driven funds. This contribution enhances understanding of green finance dynamics in mixed-asset portfolios and supports investors and policymakers in developing resilient, sustainability-oriented investment strategies. The study also opens avenues for future research on ESG-focused assets across broader market settings.