In the context of increasing integration across global financial markets, understanding the dynamic relationships between energy, digital assets, and equity markets is crucial for effective portfolio management and risk mitigation. Purpose: This study examines the potential hedging benefits of cryptocurrencies against volatility shocks by analyzing nonlinear and regime-dependent co-movements among crude oil, Bitcoin, and equity markets. Method: The research utilizes a fuzzy copula framework that incorporates Gaussian, Student-t, Clayton, and Gumbel copulas to capture asymmetric and tail-dependent dependence structures. Fuzzy-weighted dependence measures are employed to evaluate dynamic linkages across low-, medium-, and high-volatility regimes, facilitating smooth regime transitions and localized dependence analysis. Results: The findings indicate a weak average dependence under normal market conditions, suggesting limited hedging effectiveness of cryptocurrencies. However, statistically significant upper‑tail dependence is observed during periods of heightened volatility, indicating a deterioration in diversification benefits under market stress. Contributions: The study provides insights for investors, portfolio managers, and policymakers by highlighting the regime-contingent hedging role of cryptocurrencies. The results emphasize the importance of nonlinear and regime-sensitive models in portfolio allocation, risk management, and financial stability assessment.
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