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Mapping green market dynamics: Insights into sustainable sectors and strategic tech minerals

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  • Sitara Karim

Abstract

This study explores the spillover dynamics and interconnectedness among traditional energy markets, eco-friendly indices, and strategic minerals under varying economic conditions. Quantile connectedness measures are employed to capture asymmetric spillover effects across adverse (5th percentile), normal (median), and boom (95th percentile) conditions. To ensure robustness, a Quantile Vector Autoregression (QVAR) framework is utilized to validate the findings. The results reveal significant heterogeneity: traditional energy markets dominate as spillover transmitters during boom periods, while eco-friendly indices and strategic minerals exhibit balanced or dependent roles across quantiles. Gasoline and Tellurium emerge as key transmitters in stressed conditions, whereas Coal and Gas Oil play dominant roles during bullish markets. These findings offer valuable insights into the dynamics of market interdependence, emphasizing the need for tailored risk management strategies. Academically, this study contributes to the literature on connectedness, while offering practical implications for energy policy and sustainable market strategies.

Suggested Citation

  • Sitara Karim, 2025. "Mapping green market dynamics: Insights into sustainable sectors and strategic tech minerals," Modern Finance, Modern Finance Institute, vol. 3(1), pages 50-66.
    • Handle: RePEc:bdy:modfin:v:3:y:2025:i:1:p:50-66:id:234
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    References listed on IDEAS

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    1. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    2. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    3. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
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