CAN GREEN ASSETS HEDGE METAL MARKET RISK? EVIDENCE FROM CLEAN ENERGY, CARBON MARKETS, AND AI INDICES

Abstract

Metal markets exhibit persistent volatility driven by complex interactions among economic cycles, geopolitical tensions, and industrial demand fluctuations, creating substantial challenges for investors and portfolio managers seeking effective risk mitigation strategies. This study investigates the hedging effectiveness of clean energy indices, carbon markets, and technology assets for managing precious and industrial metal volatility through Minimum Variance Portfolio (MVP) optimization and optimal hedge ratio estimation. Using daily return data from January 2015 to December 2024 for precious metals (gold, silver, platinum, palladium), industrial metals (copper, aluminum, zinc, nickel), energy commodities (crude oil, natural gas, coal), and alternative assets (clean energy, carbon credits, AI/robotics indices), we employ advanced portfolio optimization techniques to quantify cross-asset hedging relationships. Our results reveal substantial market segmentation with gold emerging as the dominant hedging instrument, achieving hedging effectiveness ranging from 57% to 98% across asset classes. Intra-sector hedging proves most effective, with gold-silver pairs demonstrating mutual hedging effectiveness of 62% and copper-zinc pairs achieving 35% variance reduction. Critically, we document minimal hedging utility for energy commodities (HE ≤ 11%), virtual unheedgeability of natural gas (HE ≤ 2%), and disconnect between clean energy/technology indices and traditional commodities (HE < 5%). Carbon markets and environmental indices show negligible correlation with physical commodities (HE < 10%), challenging assumptions of financial market integration accompanying the energy transition. The findings demonstrate that effective metal hedging requires sector-specific strategies rather than broad commodity diversification, with clean energy and environmental assets operating independently from traditional commodity cycles. These results have important implications for portfolio construction, corporate risk management, ESG integration, and energy transition policy, suggesting that the financial decoupling between green assets and fossil fuels limits implicit hedging opportunities while providing genuine diversification benefits. Our study contributes to the literature on commodity hedging, sustainable finance, and portfolio optimization by providing comprehensive empirical evidence on cross-asset hedging relationships in the context of global energy transition.