<p>This paper aims to explore the relationships between five major cryptocurrency markets (Ethereum, Bitcoin Cash, Ripple, Bitcoin, and the Ethereum Operating System) and carbon emission futures from both a time and frequency perspective. It seeks to address the implications for environmental sustainability arising from the uncertainty surrounding the coupling and decoupling of cryptocurrency markets. To examine the time-varying cryptocurrency-carbon relationship, we employ novel approaches including empirical mode decomposition (EEMD) and wavelet windowed cross-correlations (WWCC). The EEMD-WWCC analysis yields three major conclusions. Firstly, the lead-lag nexus between carbon future prices and cryptocurrencies exhibits equal forces across all time scales. Secondly, a weak WWCC between carbon prices and cryptocurrency markets in the short run suggests that carbon future prices offer significant diversification benefits. Thirdly, we observe a bidirectional relationship between the two-time series in the medium and long run, particularly evident in the very long run. Put differently, longer time horizons reveal the highest intensity of cross-correlations, indicating that market behavior is predominantly determined by its own characteristics in the long run. Moreover, comprehending the time-frequency dynamics of the co-movements between the two markets can facilitate the development of environmental and climate change policies, as well as the reevaluation of cryptocurrencies.</p>

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Cryptocurrency Markets and Carbon Emissions Future Prices: Fresh Insight From the Time-varying Wavelet-windowed Cross-correlation Approach

  • Ngo Thai Hung

摘要

This paper aims to explore the relationships between five major cryptocurrency markets (Ethereum, Bitcoin Cash, Ripple, Bitcoin, and the Ethereum Operating System) and carbon emission futures from both a time and frequency perspective. It seeks to address the implications for environmental sustainability arising from the uncertainty surrounding the coupling and decoupling of cryptocurrency markets. To examine the time-varying cryptocurrency-carbon relationship, we employ novel approaches including empirical mode decomposition (EEMD) and wavelet windowed cross-correlations (WWCC). The EEMD-WWCC analysis yields three major conclusions. Firstly, the lead-lag nexus between carbon future prices and cryptocurrencies exhibits equal forces across all time scales. Secondly, a weak WWCC between carbon prices and cryptocurrency markets in the short run suggests that carbon future prices offer significant diversification benefits. Thirdly, we observe a bidirectional relationship between the two-time series in the medium and long run, particularly evident in the very long run. Put differently, longer time horizons reveal the highest intensity of cross-correlations, indicating that market behavior is predominantly determined by its own characteristics in the long run. Moreover, comprehending the time-frequency dynamics of the co-movements between the two markets can facilitate the development of environmental and climate change policies, as well as the reevaluation of cryptocurrencies.