From wars to dynamic waves: Scrutinizing connectedness between geopolitical risk index, green and non-green crypto volatility by quantile spillovers

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Le Thanh Ha
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Abstract

This research is crucial to determine if green cryptocurrencies are a geopolitical safe-haven or a speculative risk. This finding directly informs investor strategy, guides regulatory policy on financial stability, and advances financial theory by testing if ESG credentials provide resilience against systemic shocks. Our research uses a QVAR methodology to assess the network connectivity of nine metrics, which include the Geopolitical Risks Index (GPR), Cardano (ADA), NANO (XNO), Ripples (XRP), IOTA, Stellar Lumens (XLM), Bitcoin (BTC), Tron (TRX), and Ethereum (ETH). Our results show that when the complete dataset is considered, all of the analyzed variables are very moderately connected. This research specifically displays a temporal change in systemic connection as a result of the COVID-19 pandemic and the dispute between Ukraine and Russia. The results show that changes to the overall network could account for 68.83 % of the volatility in the framework of indicators being investigated. However, this figure has dramatically decreased to 61.47 % and 7.36 % both momentarily and over time. The net total directional connectivity across quantiles indicates that the Geopolitical Risks Index is a net transmitter of shocks throughout the 2020–2021 period below the 20 % quantile, while the Geopolitical Risks Index transmits most of the shocks in 2022 below the 20 % quantile. Ethereum is a primary net transmitter of shocks throughout our sample over quantiles. Dynamic net pairwise directional connectivity over a quantile indicates that unforeseeable occurrences like the COVID-19 outbreak or the tension between Ukraine and Russia affect Geopolitical Risks Indexs and green and non-green cryptocurrencies.
从战争到动态波动:通过分位数溢出效应审视地缘政治风险指数、绿色和非绿色加密货币波动之间的联系
这项研究对于确定绿色加密货币是地缘政治避风港还是投机风险至关重要。这一发现直接指导了投资者的策略,指导了金融稳定的监管政策,并通过测试ESG证书是否具有抵御系统性冲击的能力来推进金融理论。我们的研究使用QVAR方法来评估九个指标的网络连通性,其中包括地缘政治风险指数(GPR)、卡尔达诺(ADA)、NANO (XNO)、ripple (XRP)、IOTA、Stellar Lumens (XLM)、比特币(BTC)、Tron (TRX)和以太坊(ETH)。我们的结果表明,当考虑完整的数据集时,所有被分析的变量都是非常适度的连接。这项研究特别展示了由于新冠肺炎大流行和乌克兰与俄罗斯之间的争端而导致的系统联系的时间变化。结果表明,在所调查的指标框架中,整体网络的变化可占波动率的68.83 %。然而,随着时间的推移,这一数字急剧下降到61.47 %和7.36 %。各分位数之间的净总定向连通性表明,地缘政治风险指数在2020-2021年期间是低于20% %分位数的冲击的净传递者,而地缘政治风险指数在低于20% %分位数的情况下传递了2022年的大部分冲击。以太坊是我们整个样本中超过分位数的冲击的主要净发射器。分位数上的动态双向网络连通性表明,诸如COVID-19爆发或乌克兰和俄罗斯之间的紧张局势等不可预见的事件会影响地缘政治风险指数以及绿色和非绿色加密货币。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
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.
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