Mohammad Abdullah , David Adeabah , Chi-Chuan Lee , Emmanuel Joel Aikins Abakah , Rubaiyat Ahsan Bhuiyan
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引用次数: 0
Abstract
This research employs quantile-on-quantile regression and the quantile coherency method to examine the asymmetric effects of various climate-related risks (physical and transition) across different states (from high to low) on digital assets, including the returns from cryptocurrencies, non-fungible tokens (NFTs), and decentralized finance (DeFi). The findings indicate that climate-related risks negatively affect the returns of cryptocurrencies, NFTs, and DeFi assets in the upper quantiles, meaning that these risks reduce returns. Conversely, in the lower quantiles their impact is inverse, highlighting the asymmetric influence of climate-related risks on cryptocurrencies, NFTs, and the DeFi market.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.