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

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.

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Publication Details

Journal
Modern Finance
Published
2025-03-05
DOI
https://doi.org/10.61351/mf.v3i1.234
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
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article

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

Sitara Karim
1 citations
Modern Finance
Energy, Environment, Economic Growth
3.13
article

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

Sitara Karim
article en
1 citations

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.

Modern FinanceVol. 3(1)
Swinburne University of Technology (AU)
Openalex Percentile: Top 10%
Energy, Environment, Economic Growth
3.13
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