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Are Sustainable Cryptocurrencies Immune to Policy Uncertainties? Unveiling the Asymmetric Implications of Climate and Global Economic Policy Uncertainty for Green Cryptocurrencies
[¿Las criptomonedas sostenibles son inmunes a la incertidumbre política? Revelando las implicaciones asimétricas de la incertidumbre climática y de la política económica global para las criptomonedas v]

Author

Listed:
  • Aamir Aijaz Syed

    (Shri Ramswaroop Memorial University)

  • Alka Singh

    (Chandigarh University)

Abstract

Advanced blockchain technologies and growing environmental and economic uncertainties have Motivated us to investigate the impact of climate policy uncertainty (CPU) and global economic policy uncertainty (GEPU) on five green cryptocurrencies—ADA, EOS, IOTA, XLM, XTZ—selected based on energy efficiency and mining processes. We examined the short- and long-run impacts of alternative assets on these cryptocurrencies using a nonlinear autoregressive distributed lag model. In the long run, these cryptocurrencies are negatively affected by CPU and GEPU, questioning their safe-haven potential. In the short run, ADA, EOS, and XLM share a positive asymmetric relationship with CPU, whereas all cryptocurrencies have a negative asymmetric relationship with GEPU. Therefore, they can be considered a safe haven. In the short and long term, green bonds exert a positive impact, whereas interest rates, the S&P 500, and the gold index negatively impact these cryptocurrencies. In the short run, Bitcoin shows a negative relationship with EOS, IOTA, and XTZ and a positive relationship with ADA and XLM. Over the long term, Bitcoin exhibits a positive correlation with all cryptocurrencies. USD exhibits a positive relationship in the short run and a negative relationship in the long run with all cryptocurrencies. The findings offer practical implications for portfolio construction and investors dealing in the green cryptocurrency market. Los avances en tecnologías blockchain y las crecientes incertidumbres ambientales y económicas nos llevaron a investigar el impacto de la incertidumbre de la política climática (IPC) y la incertidumbre de la política económica global (IPEG) en cinco criptomonedas verdes —ADA, EOS, IOTA, XLM, XTZ— seleccionadas en función de la eficiencia energética y los procesos de minería. Se examinó el impacto a corto y largo plazo de activos alternativos en estas criptomonedas mediante un modelo autorregresivo con rezagos distribuidos no lineal. A largo plazo, estas criptomonedas se ven afectadas negativamente por la IPC y la IPEG, lo que cuestiona su potencial de refugio seguro. A corto plazo, ADA, EOS y XLM comparten una relación asimétrica positiva con la IPC, mientras que todas las criptomonedas tienen una relación asimétrica negativa con la IPEG. Por lo tanto, a corto plazo, ADA, EOS y XLM pueden considerarse un refugio seguro. Tanto a corto como a largo plazo, los bonos verdes ejercen un impacto positivo, mientras que las tasas de interés, el S&P 500 y el índice del oro tienen un impacto negativo en estas criptomonedas. A corto plazo, el bitcoin comparte una relación negativa con EOS, IOTA y XTZ y una relación positiva con ADA y XLM. A largo plazo, exhibe una correlación positiva con todas las criptomonedas verdes. El USD comparte una relación positiva a corto plazo y una relación negativa a largo plazo con todas las criptomonedas verdes. Los hallazgos tienen implicaciones prácticas para la construcción de carteras y las transacciones de los inversores en el mercado de criptomonedas verdes.

Suggested Citation

  • Aamir Aijaz Syed & Alka Singh, 2025. "Are Sustainable Cryptocurrencies Immune to Policy Uncertainties? Unveiling the Asymmetric Implications of Climate and Global Economic Policy Uncertainty for Green Cryptocurrencies [¿Las criptomoned," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 17, pages 1-35, August.
  • Handle: RePEc:col:000443:021777
    DOI: 10.14718/revfinanzpolitecon.v17.202
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    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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